operations management dissertation topics

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Introduction

The success as well as the survival of an organization is directly dependent on its efficiency and output. Meeting the periodically set goals within the organization charter is the passport to sustain in a ruthlessly competitive environment. The management of all the business operations would administer a practice that ignite the strategy to match the highest level of efficiency. The conversion of the quality raw materials and pain and sweat of the labour in the desired number of quality-based goods and services could create an environment full of zeal and competence. When the profit of the organization is rightfully achieved, all the stakeholders could earn their rightful stake. Moreover, it promotes a sense of belongingness in the employees and bestow them with the opportunities to hone their skills time and again.

Operations management is one of the pivotal subjects in management that constantly feature dissertations and case studies in their semester curriculum. These assignments help students to realise the practicality of the subject and help them understand how things materialise on the ground apart from inculcation of the bookish concepts.

The assignment help provided by the experts could help in the completion of the given homework tasks as per the expected standards on time. Here, we are sharing the list of top 50 dissertation topics that can be chosen from absolutely for free. If you are keen to let the professionals choose the topic and get the complete assignment done on your behalf, then also assignment writing services from the best in business could get the job done.

The Levels of Operations Management Implementation

The management of the operations is primarily done at the following three levels –

Strategic Level: Work on the broader terms, where the goals of the company are defined, and the operations managers are assigned the task to develop the strategies accordingly. For example, if we try to define all the three levels with respect to an organization engaged in furniture business, then the strategic level of operations management would include the preparation of blueprint for the location and the layout of the furniture factory.
Tactical Level: The tactics are used by the employees at the managerial level to accomplish those strategies step by step. These include the tasks or the steps that are defined to successfully implement the strategies. The tactical level shall incorporate the hiring and training of the workforce to function as per the strategic needs and set the roadmap of executing the third level.
Operations Level: The final level where all the components of production are brought together and materialised. These include the purchase of wood and fabric, the availability of raw materials and cutting tools and all the other fabrication equipment. It is widely regarded and practised as the final level of operations management before the final product or service gets its final shape.

The students who frequently reach us for dissertation help are assigned with the operations management homework somehow revolving around these three levels only. When experts having real-life practical understanding of the things get involved in the assignment writing process, it reflects in the submitted work word-by-word.

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Must read: all you need to know about how to get an ‘a’ in your next dissertation submission, what are we expecting to achieve out of the recommended list of topics.

We are surely not expecting the students to submit a miracle of an assignment homework once they go through the provided set of dissertation topics below. The quality of the work still be dependent upon the consistency with the language, syntax proficiency, delivery of citation in instructed referencing style, and conducting plethora of concrete research to back each argument. Not to mention, crisp editing chops and seamless proofreading of the final draft is also somehow not related to the selection of the topic.

But what we are expecting out of this whole effort is to ensure that our students do have a wide range of pertinent topics to pick from. Our efforts are directed to the fact that our students pick a topic that is trending in the contemporary age and does make sense in the eyes of the evaluator.

Additionally, our prima-facie motto is to help our management students to save time, energy, and resources. The most complex dilemma faced by our students is the exploration and selection of the right topic. What, and why? Most of the students fight these conundrums to reach the most suited topic selection and spend an exhaustive amount of time and research. Exploring the topic at the personal level of the student could be a relevant choice in case he or she have months at disposal before the final submission of work. It is the privilege accessible to the scholars submitting their paper or thesis for research purpose only.

Management students following a conventional curriculum are required to submit their homework assignments with a stringent deadline. That is the point where not only days, even the hours count! Here, the accessibility to strong dissertation topics, and that too for free could become a real game-changer for the students. Besides, their request for online assignment help is served on priority right from topic selection to the dispatch of purely refined final homework draft.

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Operations Management Online Assignment Help

Wish to come across top 50 best organizational behaviour topics to choose from? Visit the below article to make your next OB dissertation submission worth every word!

Must read: top 50 organizational behaviour dissertation topics trending in 2021.

Well, with that we conclude our list of the latest dissertation topics dedicated to the assignments related to operations management. The best part is that these titles can be customised to suit the assignment writing formats other than dissertations. The requirements of the management students related to case study help , essay help , research paper writing help or thesis help . If you have already chosen your desired topic but struggling to move ahead, then you can always hire the experts for paid assignment help to get the assignment done as per the instructions on your behalf.

Operations management is widely regarded as one of the most complex yet interesting subjects that a b-school aspirant could pursue. The dissertations and case studies associated with the subject do have a touch of finance, mathematics, and information systems to deliver a combined package of knowledge. It is one of the few major subjects in the field of management that do have ground-level, practical implication to begin with. The assignments related to the subject are not only pivotal in terms of quality grades to pass-out with, but also fetch the lessons that can turn out to be productive in the entire lifetime of their careers.

Visit operations management assignment help at Thoughtful Minds to come across the services of the management academicians turned writers serving students for the last 15 years. Get in touch with the service representative and avail the finest online homework help at the most reasonable prices ever!

Operations Management Research Paper Topics

Operations management research paper topics encompass a wide array of subjects related to the effective planning, organizing, and supervision of business operations. These topics offer a rich field of inquiry for scholars and practitioners alike, reflecting the complexity and centrality of operations management in modern business. This page is designed to provide students with comprehensive guidance on operations management research, including a categorized list of research topics, insights into choosing and writing on these topics, and exclusive writing services by iResearchNet. Whether you are a beginner or an advanced researcher in the field, this resource aims to support your exploration of the diverse and dynamic world of operations management.

100 Operations Management Research Paper Topics

Operations management is a multifaceted field that integrates various aspects of business like production, logistics, quality control, and much more. For students looking to delve into research, here’s an extensive list of topics categorized into ten different sectors.

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The role of technology in enhancing production efficiency.
Sustainable production practices and their impact on profitability.
Mass customization in modern manufacturing.
Just-in-time (JIT) production: Pros and cons.
Managing production lines for optimal workflow.
The influence of automation on manufacturing processes.
Ergonomics and production management.
The future of 3D printing in manufacturing.
Outsourcing production: Challenges and opportunities.
Lean manufacturing principles and their application.

Supply Chain Management

The importance of information sharing in the supply chain.
Risk management in global supply chains.
Ethical considerations in supply chain management.
Impact of e-commerce on traditional supply chain models.
Inventory management: Best practices.
The role of transportation in the supply chain.
Achieving sustainability through green supply chain practices.
The influence of big data on supply chain decisions.
Cross-border supply chain challenges.
Vendor management and strategic partnerships.

Quality Control and Assurance

Total Quality Management (TQM) in the 21st century.
Six Sigma methodology in operations management.
Quality assurance in the food and beverage industry.
Role of continuous improvement in quality management.
Balancing cost and quality in manufacturing.
Role of customer feedback in quality assurance.
Impact of quality control on brand reputation.
Quality assurance standards in healthcare.
The relationship between employee training and quality control.
Quality management systems: ISO 9001 and others.

Logistics Management

Technological advancements in logistics and distribution.
Managing logistics in e-commerce.
Impact of globalization on logistics management.
Third-party logistics (3PL) vs. in-house logistics.
Green logistics: Integrating sustainability.
Humanitarian logistics in disaster management.
Role of government regulations in logistics.
Challenges of urban logistics.
Reverse logistics: Principles and practices.
The future of drone technology in logistics.

Service Operations Management

The importance of customer experience in service operations.
Managing service quality in the hospitality industry.
Service blueprinting as a tool for service design.
Role of technology in enhancing service efficiency.
Balancing supply and demand in service industries.
The application of lean principles in service operations.
Innovations in healthcare service operations.
Ethical considerations in service provision.
Outsourcing services: A strategic perspective.
Transforming traditional services with digital technologies.

Strategic Operations Management

Aligning operations strategy with business goals.
The role of operations management in organizational success.
Developing a competitive advantage through operational excellence.
Integrating innovation into operations strategy.
Global strategies in operations management.
The role of leadership in strategic operations management.
Operations strategy in small and medium-sized enterprises (SMEs).
Evaluating the performance of an operations strategy.
Mergers and acquisitions: Integrating operations.
Strategic considerations in outsourcing operations.

Sustainability and Environmental Considerations

Incorporating sustainability into operations management.
Environmental regulations and their impact on operations.
Waste management practices in manufacturing.
Achieving energy efficiency in operations.
Sustainable practices in supply chain management.
The role of corporate social responsibility (CSR) in operations.
Life cycle assessment in product design.
Sustainable procurement practices.
The green factory: Myths and realities.
Social sustainability in operations management.

Technology and Innovation Management

The impact of Industry 4.0 on operations management.
Implementing Artificial Intelligence (AI) in operations.
Challenges of integrating IoT in manufacturing.
The role of innovation in competitive advantage.
Managing technology-driven change in organizations.
Virtual reality (VR) and augmented reality (AR) in operations.
The future of robotics in manufacturing.
Innovation culture: Fostering creativity in operations.
Technology management in healthcare operations.
Digital transformation and its impact on operations.

Project Management

Agile project management in operations.
Risk management in project execution.
The role of project management offices (PMOs).
Project portfolio management: An integrated approach.
Tools and technologies for efficient project management.
Stakeholder management in project execution.
The psychology of project management.
Cross-cultural considerations in global projects.
Managing virtual teams in projects.
Project failure: Analysis and lessons learned.

Human Resources and Operations

Managing diversity in operations management.
The role of team dynamics in operational success.
Talent management in operations.
Employee motivation and performance in operations.
Human factors in safety management.
The importance of organizational culture in operations.
Training and development in operations management.
Employee engagement and its impact on operational efficiency.
Managing remote work in operations.
Labor relations and negotiations in operations.

Operations management remains an evolving and essential field in both academia and industry. The above topics reflect the breadth and depth of areas one could explore. Each subject offers unique insights and challenges, enabling students to apply theoretical concepts to real-world scenarios. These topics are designed to inspire critical thinking and provide a starting point for those embarking on research in operations management. Whether you are looking for a topic that aligns with your interests or seeking to address current issues in the field, this comprehensive list offers diverse paths to contribute to the body of knowledge in operations management.

Operations Management and the Range of Research Paper Topics

Operations management is a vital aspect of business that deals with the design, administration, and optimization of business processes. It plays a crucial role in ensuring that an organization operates efficiently and effectively. From manufacturing to services, operations management transcends various sectors and industries. In this article, we’ll delve into the multifaceted world of operations management, explore its significance, and elucidate the range of research paper topics it offers.

Introduction to Operations Management

Operations management is all about the planning, oversight, and control of processes that transform inputs such as materials, labor, and technology into outputs like goods and services. It’s a dynamic field that requires a blend of analytical thinking, problem-solving, and practical skills.

Operations managers focus on improving efficiency, reducing costs, maintaining quality, and ensuring that products or services are delivered on time. The scope of operations management is broad, encompassing areas like:

Production Management : Deals with the creation of goods and services.
Supply Chain Management : Focuses on the flow of materials from suppliers to customers.
Quality Control : Ensures products meet specified quality standards.
Logistics : Concerned with the movement, storage, and flow of goods.
Project Management : Involves planning and overseeing projects to ensure they are completed on time and within budget.

Significance of Operations Management

Operations management is at the heart of any organization, impacting several critical areas:

Efficiency : By optimizing processes and eliminating waste, operations management helps in utilizing resources more efficiently.
Cost Reduction : Through continuous improvement and innovation, costs can be reduced, leading to higher profitability.
Customer Satisfaction : By ensuring quality and timely delivery, operations management plays a key role in customer satisfaction.
Competitive Advantage : Organizations that excel in operations management often have a competitive edge in the market.

The Ever-Evolving Nature of Operations Management

The field of operations management continues to evolve, driven by technological advancements, globalization, environmental concerns, and changing consumer preferences. Topics such as sustainability, automation, digital transformation, and global supply chain challenges are becoming increasingly relevant.

Range of Research Paper Topics

Given the diverse and complex nature of operations management, the range of research paper topics is vast and can be categorized into several areas:

Production Management : From lean manufacturing to the use of artificial intelligence, research can focus on how to make production more efficient and adaptable.
Supply Chain Management : Topics could include risk management, ethical considerations, green practices, and the influence of e-commerce on traditional supply chains.
Quality Control and Assurance : Research in this area could explore methodologies like Six Sigma, continuous improvement, and the relationship between training and quality control.
Logistics Management : With the growing importance of e-commerce and sustainability, research in logistics management is thriving.
Service Operations Management : This includes the design and management of processes that create and deliver services, with potential research focusing on customer experience, technology, and innovation.
Strategic Operations Management : Research topics can explore how operations strategy aligns with business goals and contributes to competitive advantage.
Sustainability and Environmental Considerations : This is an emerging area focusing on how operations management can contribute to a more sustainable future.
Technology and Innovation Management : From Industry 4.0 to digital transformation, this category looks at how technology is reshaping operations management.
Project Management : Topics might include agile methodologies, stakeholder management, risk mitigation, and cross-cultural considerations in global projects.
Human Resources and Operations : This could include topics like managing diversity, team dynamics, employee motivation, and training in operations management.

Operations management is a vibrant and multifaceted field with a wide array of research possibilities. From traditional manufacturing to modern service industries, from small businesses to multinational corporations, operations management is at the core of organizational success.

The broad range of topics reflects the evolving nature of the field and the challenges and opportunities that come with it. For students seeking to contribute to this essential area of business, these topics offer a rich and diverse avenue for exploration and innovation.

By understanding and engaging with these various aspects, scholars, practitioners, and students can appreciate the importance of operations management in today’s global economy and contribute to its future development. Whether through academic research or practical application, operations management remains a critical field that continues to shape the way businesses operate and thrive.

How to Choose Operations Management Research Paper Topics

Choosing the right topic for a research paper in operations management is a critical step that can significantly impact the quality and relevance of your work. It can be both an exciting and daunting task, given the wide array of topics available in this dynamic field. In this section, we’ll provide an introductory paragraph, 10 practical tips, and a concluding paragraph to guide you in selecting the ideal operations management research paper topic.

Operations management is a multifaceted field that encompasses various aspects of business processes, from production to logistics, supply chain to quality control. As such, it offers a wide range of intriguing research paper topics. The right topic not only aligns with your interests and academic goals but also has the potential to contribute to the broader field of operations management. Here are some tips to assist you in making an informed choice.

10 Tips for Choosing Operations Management Research Paper Topics

Identify Your Interests : Start by listing areas within operations management that intrigue you the most. Passion for the subject can fuel your research and make the process more enjoyable.
Understand the Scope : Consider the breadth and depth of the topic. A topic that’s too broad may be unmanageable, while a too narrow focus may lack sufficient material for research.
Check for Relevance : Ensure that the topic aligns with current industry trends and challenges. A relevant topic will have a greater impact and may open opportunities for further study or career advancement.
Consult Academic Sources : Look through academic journals, textbooks, and other scholarly publications in operations management to discover prevailing research themes and gaps in the literature.
Consider Practical Implications : If possible, choose a topic that has practical applications in real-world scenarios. This connection between theory and practice can make your research more compelling.
Assess Available Resources : Evaluate the resources you have at your disposal, including access to data, software, labs, or industry experts. Some topics might require specialized tools or contacts.
Seek Guidance from Advisors : Consult with professors, mentors, or industry professionals who have expertise in operations management. Their insights can help refine your topic and provide direction.
Evaluate Your Skill Set : Reflect on your skills and expertise in the subject area. Selecting a topic that complements your strengths will facilitate a smoother research process.
Consider Ethical Implications : Ensure that the chosen topic adheres to ethical standards, especially if it involves human subjects, sensitive data, or controversial issues.
Think about Future Opportunities : Your research paper can be a stepping stone for further studies, publications, or career opportunities. Consider how the chosen topic might align with your long-term goals.

Concluding Thoughts

Choosing a research paper topic in operations management is a delicate balance between your interests, the academic and industry relevance, the feasibility of research, and alignment with ethical standards. By adhering to these tips, you can select a topic that not only resonates with your passion and capabilities but also contributes to the field of operations management.

Remember that the right topic is a catalyst that can ignite your creativity and analytical abilities, leading to a meaningful and rewarding research experience. Whether you’re exploring sustainable supply chain practices or innovative quality control techniques, your choice of topic is the foundation upon which your entire research project is built. Make it a strong, informed one, and you’ll set yourself up for success in the vibrant world of operations management.

How to Write an Operations Management Research Paper

Writing a research paper in operations management is a systematic process that requires careful planning, in-depth research, and coherent presentation. This endeavor involves not only an understanding of the operations management concepts but also the ability to analyze, evaluate, and apply them in various real-world contexts. Below, you will find an introductory paragraph, 10 essential tips, and a concluding paragraph to guide you through the process of writing an operations management research paper.

Introduction

Operations management is a complex field that integrates various aspects of production, quality control, logistics, and supply chain management. Writing a research paper on a topic within this discipline demands a clear understanding of both theoretical principles and practical applications. The task may seem overwhelming, but with the right approach and adherence to specific guidelines, you can craft a paper that stands out in quality and relevance.

10 Tips for Writing an Operations Management Research Paper

Choose the Right Topic : Refer to the previous section for tips on selecting a relevant and engaging topic that aligns with your interests and the broader field of operations management.
Conduct Thorough Research : Utilize reputable academic sources such as journals, textbooks, and industry reports. Gather sufficient data and insights that relate to your chosen topic.
Create a Strong Thesis Statement : Your thesis should clearly articulate the main idea or argument of your paper. It serves as the guiding star for your entire research.
Develop an Outline : Before diving into writing, create a detailed outline that maps out the structure of your paper. It should include an introduction, literature review, methodology, findings, discussion, conclusion, and references.
Write a Compelling Introduction : Start your paper with an engaging introduction that provides background on the topic, states the problem, and introduces the thesis statement.
Include a Literature Review : Summarize existing research on the topic, highlighting key theories, models, and empirical findings. This section establishes the context for your study.
Explain Your Methodology : Describe the research design, methods, and tools you used to collect and analyze data. Be meticulous in explaining how you ensured the reliability and validity of your study.
Present Findings Clearly : Organize and present your research findings in a logical manner. Use charts, graphs, and tables where necessary to visualize the data.
Discuss the Implications : In the discussion section, interpret the results, compare them with existing research, and explore the implications for operations management practice and future research.
Edit and Revise : Spend ample time revising and proofreading your paper. Consider seeking feedback from peers, mentors, or professional editing services to ensure clarity, coherence, and correctness.

Writing a research paper in operations management is a rewarding yet challenging task. It requires a fusion of technical knowledge, analytical thinking, and writing skills. By following the tips outlined above, you’ll be well-equipped to craft a paper that is not only academically rigorous but also relevant to the dynamic and multifaceted world of operations management.

Remember, writing a research paper is a process that demands time, effort, and perseverance. Be patient with yourself and stay committed to excellence at every stage of the journey. The final product – a well-researched, well-written paper – is a testament to your intellectual curiosity, hard work, and contribution to the ever-evolving field of operations management. Whether you’re a seasoned researcher or a student just starting out, these guidelines are designed to empower you to write with confidence and integrity in the domain of operations management.

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The field of operations management is multifaceted, combining elements of logistics, supply chain management, quality control, and production. Creating a research paper that captures all these aspects can be a daunting task. iResearchNet, a leading academic writing service provider, is here to help students craft impeccable operations management research papers. With a team of expert degree-holding writers, state-of-the-art research methods, and top-notch customer support, iResearchNet offers a full suite of services tailored to your needs. Below, you will find an introductory paragraph, details of our 13 standout features, and a concluding paragraph.

At iResearchNet, we understand the challenges students face when tasked with writing a research paper on a complex subject such as operations management. That’s why we have designed our services to offer a customized solution that caters to your unique requirements. Whether you need assistance with topic selection, research, writing, or formatting, our team of professional writers and researchers is ready to provide comprehensive support.

Expert Degree-Holding Writers : Our writers are not just professionals; they are experts in the field of operations management. With advanced degrees and years of experience, they are capable of providing insightful and well-researched papers.
Custom Written Works : Every paper we produce is crafted from scratch, ensuring that it is tailored to your specific needs, guidelines, and academic standards.
In-Depth Research : Leveraging a rich library of resources, our team conducts extensive research, gathering relevant data and information to support the thesis and arguments of your paper.
Custom Formatting (APA, MLA, Chicago/Turabian, Harvard) : Our writers are proficient in various formatting styles, ensuring that your paper complies with the specific guidelines of your academic institution.
Top Quality : Quality is at the core of our services. Each paper undergoes rigorous quality checks to guarantee that it is well-structured, coherent, and free of plagiarism.
Customized Solutions : We recognize that each student’s needs are unique. Whether you need a complete research paper or assistance with specific sections, we provide personalized solutions to meet your requirements.
Flexible Pricing : We offer a variety of pricing options to suit different budgets, without compromising on quality. Our goal is to provide affordable academic support to all students.
Short Deadlines up to 3 Hours : Time constraints are no longer a concern with our expedited services. We can deliver quality work within short deadlines, even as quick as 3 hours.
Timely Delivery : We honor deadlines and ensure that every paper is delivered on time, allowing you to review and make any necessary revisions.
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Easy Order Tracking : Our user-friendly platform allows you to track the progress of your order, communicate with the writer, and access all necessary information seamlessly.
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iResearchNet is committed to empowering students in their academic journey by providing top-tier writing services tailored to the complex world of operations management. Our comprehensive approach, attention to detail, and dedication to excellence set us apart in the industry.

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operations management dissertation topics

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35 Business Management Dissertation Topic Ideas

Choosing a topic for your business management dissertation is a significant decision. It’s the cornerstone of your academic journey, reflecting your expertise, interests, and scholarly contribution.

A well-chosen topic not only captivates your audience but also fuels your passion for research. It should be relevant, original, and feasible within your academic timeframe. The key is to pick a topic that resonates with current business trends, addresses a gap in the literature, and aligns with your career aspirations.

The landscape of business is ever-evolving, shaped by technological advancements, economic shifts, and societal changes. Thus, a topic that’s both timely and timeless can make your dissertation stand out. Whether you’re fascinated by human resources, marketing, finance, or strategic management, there’s a wealth of areas to explore.

business management dissertation topic ideas

Topic Ideas for a Business Management Dissertation

In the following list, you’ll find 35 thought-provoking dissertation topic ideas, each with its unique angle and relevance. These ideas span various subfields of business management, offering you a broad spectrum to choose from.

Idea 1: The Impact of Remote Work on Organizational Culture

Remote work has transformed the traditional workplace, making this a compelling topic. Investigate how companies maintain their culture and employee engagement in a virtual environment. This topic is ideal for exploring in times of major shifts in work modalities.

Idea 2: AI and Decision Making in Business Management

Artificial Intelligence (AI) is revolutionizing decision-making processes. This topic lets you delve into how AI impacts strategic decisions in business, a great choice for those interested in technology’s role in business.

Idea 3: Sustainability Practices in Corporate Governance

Sustainability is a pressing issue. This topic allows you to explore how businesses integrate environmental and social practices into their governance. Perfect for those passionate about corporate responsibility.

Idea 4: Consumer Behavior in Digital Marketplaces

With the rise of online shopping, understanding consumer behavior in digital marketplaces is crucial. This topic is suitable if you’re interested in the intersection of marketing and technology.

Idea 5: The Role of Leadership in Organizational Change

Leadership is pivotal during times of change. Here, you could examine effective leadership styles and strategies in navigating organizational change. Ideal for students focusing on leadership and change management.

Idea 6: Ethical Dilemmas in Business Management

Ethical challenges are ever-present in business. Investigate how managers handle ethical dilemmas and the impact on corporate reputation. This topic is best for those interested in business ethics.

Idea 7: Impact of Globalization on Small Businesses

Globalization has far-reaching effects. Your research could explore how small businesses adapt to global challenges and opportunities. A great topic for a global business perspective.

Idea 8: Strategies for Managing Workplace Diversity

Workplace diversity is increasingly important. Study strategies for managing diversity and fostering inclusivity. This topic is significant for HR and organizational behavior enthusiasts.

Idea 9: Financial Risk Management in Uncertain Times

Financial risks are a major concern for businesses. Research how companies manage risks, especially in unstable economic conditions. This topic is ideal for finance-focused students.

Idea 10: The Influence of Social Media on Brand Reputation

Social media dramatically impacts brands. Explore how companies use social media to build or restore their reputation. A relevant topic for those interested in marketing and digital media.

Idea 11: Innovation Management in Tech Companies

Innovation is crucial in the tech industry. Study how tech companies manage and sustain innovation. A compelling choice for students interested in technology and business innovation.

Idea 12: Employee Motivation and Performance in Virtual Teams

With the rise of remote work, understanding what motivates virtual team members is essential. This topic is suitable for research in human resources and remote work dynamics.

Idea 13: The Role of Corporate Social Responsibility in Consumer Trust

Examine how corporate social responsibility initiatives build consumer trust. This topic is ideal for exploring the intersection of ethics and consumer behavior.

Idea 14: Big Data Analytics in Strategic Decision Making

Big data is transforming business strategies. Research how companies use big data analytics in decision-making processes. This topic is perfect for those with an interest in data analytics and strategy.

Idea 15: The Psychology of Leadership in High-Pressure Situations

Leadership under pressure is a critical area of study. Investigate the psychological aspects of leadership during crises. Ideal for students focusing on leadership and organizational psychology.

Idea 16: The Impact of E-Commerce on Traditional Retail Businesses

E-commerce is reshaping retail. Study how traditional retail businesses adapt to the rise of e-commerce. A timely topic for those interested in retail management and digital transformation.

Idea 17: Cross-Cultural Management and Global Team Dynamics

In an increasingly globalized world, understanding cross-cultural management is vital. Explore how global teams collaborate effectively. Suitable for students interested in international business and team dynamics.

Idea 18: The Future of Work: Trends and Predictions

The work landscape is evolving. Research emerging trends and predict future changes in the workplace. A forward-thinking topic for those interested in the future of work and organizational studies.

Idea 19: The Role of Emotional Intelligence in Leadership Effectiveness

Emotional intelligence is key to effective leadership. Investigate its role in leadership success. Ideal for students interested in leadership and human resource management.

Idea 20: Corporate Strategies for Tackling Climate Change

Addressing climate change is crucial for businesses. Study how corporations are developing strategies to tackle climate issues. This topic is suitable for those passionate about environmental sustainability in business.

Idea 21: The Effect of Organizational Structure on Business Performance

Organizational structure significantly impacts performance. Examine different structures and their effectiveness. A great topic for students interested in organizational theory and management.

Idea 22: Mergers and Acquisitions: Strategies for Success

Mergers and acquisitions are complex strategic decisions. Research successful strategies and challenges faced. Suitable for students interested in corporate strategy and finance.

Idea 23: Managing Talent in the Gig Economy

The gig economy is redefining talent management. Explore how companies attract and retain talent in this new landscape. A relevant topic for those interested in human resources and contemporary work arrangements.

Idea 24: The Role of Technology in Enhancing Customer Experience

Technology is reshaping customer experiences. Investigate how businesses use technology to enhance customer satisfaction. Perfect for students interested in technology and customer relations.

Idea 25: Business Ethics and Corporate Transparency

Ethics and transparency are crucial in business. Study how ethical practices influence corporate transparency. Ideal for those interested in corporate governance and ethics.

Idea 26: The Impact of Corporate Culture on Employee Engagement

Corporate culture significantly affects employee engagement. Research the relationship between the two. Suitable for students focusing on organizational behavior and human resources.

Idea 27: Entrepreneurial Strategies in Emerging Markets

Emerging markets offer unique challenges and opportunities for entrepreneurs. Explore effective strategies in these environments. A compelling topic for students interested in entrepreneurship and international business.

Idea 28: The Influence of Government Policies on Business Practices

Government policies greatly affect businesses. Study how these policies influence business strategies and operations. Suitable for those interested in the intersection of business and public policy.

Idea 29: Crisis Management in the Age of Social Media

Crisis management has evolved with social media. Research how companies manage crises in this digital age. A timely topic for students interested in public relations and crisis management.

Idea 30: Blockchain Technology in Business Operations

Blockchain technology is gaining traction in business. Investigate its applications and implications in various business operations. Ideal for students interested in technology and innovation.

Idea 31: Consumer Trust and Loyalty in Online Marketplaces

Trust and loyalty are key in online marketplaces. Study factors that influence consumer trust and loyalty online. A relevant topic for those interested in e-commerce and consumer behavior.

Idea 32: The Impact of Corporate Wellness Programs on Employee Performance

Corporate wellness programs are increasingly popular. Research their impact on employee performance and well-being. Suitable for students interested in human resources and organizational health.

Idea 33: International Marketing Strategies in a Digital World

International marketing in the digital era presents unique challenges. Explore effective strategies for global marketing online. A great topic for students interested in marketing and digital strategies.

Idea 34: The Role of Mentoring in Leadership Development

Mentoring is vital in developing leaders. Investigate the effectiveness of mentoring programs in leadership development. Ideal for students focusing on leadership and human resource development.

Idea 35: Supply Chain Management in a Post-Pandemic World

The pandemic has transformed supply chains. Study the changes and strategies for effective supply chain management post-pandemic. This topic is suitable for those interested in operations management and global business trends.

Selecting a topic for your business management dissertation is a journey of exploration and discovery. Each of these ideas offers a unique lens to view and understand the complex world of business management. Remember, the best topic is one that ignites your curiosity and aligns with your career goals.

Your dissertation is more than just an academic requirement; it’s a reflection of your academic identity and professional interests. Choose wisely, and let your passion guide your research journey.

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100s of Free Management Dissertation Topics and Titles

Published by Grace Graffin at January 6th, 2023 , Revised On April 16, 2024

Introduction

The subject of management involves an in-depth understanding of the various aspects of business management, such as employee management, risk management, organisational behaviour, and many more.

When choosing a topic for your management dissertation, make sure to consider diverse topics that explore both the theoretical and practical aspects of management.

We understand that getting a dissertation topic approved can be extremely challenging as academic supervisors require students to research a unique case.

This is where our team of writers comes into play. Our writers can up with exciting and manageable management dissertation topics to help get the juices flowing in your head so you can write your dissertation on a unique and engaging topic.

You may also want to start your dissertation by requesting a brief research proposal from our writers on any of these topics, which includes an introduction to the topic, research question , aim and objectives , literature review along with the proposed methodology of research to be conducted. Let us know if you need any help in getting started.

Check our dissertation examples to get an idea of how to structure your dissertation .

Review the full list of dissertation topics for here.

How to Select the Best Management Dissertation Topic?

A dissertation topic must be selected based on research interests, availability of data, time limitations, and the research’s scope and significance. The following management dissertation topics are carefully shortlisted while considering all these parameters. Please review these topics and let us know if you have any queries.

Also Read: Operations Management Dissertation Topics

International Development Dissertation Topics
Cooperate Governance Dissertation Topics
Business Intelligence Dissertation Topics
Business Information Technology Dissertation Topics
International Business Dissertation Topics
Business Management Dissertation Topics
Business Psychology Dissertation Topics
Business Law Dissertation Topics
Project Management Dissertation Topics
Business Dissertation Topics
HRM Dissertation Topics
Operations Management Dissertation Topics

2024 Management Research Topics

Topic 1: an evaluation of organizational change management- why do people tend to oppose change.

Research Aim: The research will aim to assess the structure of organizational change management and to find the reasons why people resist or oppose the changes in an organization. There are many reasons through which change in organization’s management becomes important but some employees’ does not accept that changes. There are many reasons why people resist changes on organization. In certain circumstances, resistance to change might be beneficial. Resistance to change is, in fact, a crucial feedback mechanism that must not be neglected.

Topic 2: Investigating the effectiveness of customer relationship management in airlines

Research Aim: The research will aim to study the efficiency of CRM in airlines. Customer relationship management has evolved into a critical technique used by every corporation to better its operations and obtain a competitive advantage over competitors. Customer relationship management has evolved into a key priority for airline firms and an integral part of airline businesses’ corporate strategy to distinguish themselves from rivals in the eyes of the consumer. The goal of facility organisations, such as airlines, is to provide services that attract and maintain satisfied, loyal customers who promote the airline.

Topic 3: How does leadership affect employees’ productivity? A case of IT firms

Research Aim: This research will focus on leadership positions in IT organisations with the goal of increasing staff productivity and performance. Leadership is essential for increasing employee retention, career drive, and efficiency. Most companies’ progress is accelerated by effective leadership. As a result, it is critical to organisational success. Employee performance, on the other hand, is a critical pillar of every firm, and companies must examine the variables that contribute to great performance. Leadership is based on confidence, which is based on skill, sincerity, ethics, transparency, reactivity, empathy, and kindness.

Topic 4: The effect of organisation advancement tools on business performance

Research Aim: The research will aim to find the effect of organization advancement on business performance. Organizational tools are objects that assist you in organising your workspace, resources, and tasks in order to make your workday more effective. Physical instruments, planners, and software platforms are examples of what they can be. Organization advancement tools are a great source to improve your business performance as they help you in managing your daily tasks and workforce.

Topic 5: The importance of leadership and social skills in new entrepreneurs: An investigative study

Research Aim: The research will aim to investigate the importance of leadership and social skills in new entrepreneurs. Developing talent, introducing innovative goods and services, delivering efficiency, and gaining market share all benefit from improved leadership qualities. If you wish to stay small, you might be able to get away with not growing your leaders. Otherwise, it will restrict your progress. Social skills enable entrepreneurs to interact with customers more effectively, resulting in more agreements and more profitability.

Covid-19 Management Research Topics

Crisis management during covd-19.

Research Aim: This study will identify crisis management aspects during COVD-19, including its challenges and solutions.

Business management during COVID-19

Research Aim: This study will review business executives’ challenges in various scale industries and how they are recovering from the loss. How far did they succeed?

Hospital and medicine management during COVID-19

Research Aim: This study will highlight the role of hospital management during COVID-19, the challenges they came across, and the ways to overcome those challenges.

Educational management during COVID-19

Research Aim: This study will address the issues faced by students and educational institutes. How are they trying to overcome the challenges of imparting education during the coronavirus pandemics?

Maternal health care management during COVID-19

Research Aim: The lockdown situation has been an issue of concern for the patients, including pregnant women. This study will address the role of Maternal health care management during COVID-19.

Management Dissertation Topics for 2023

Topic 1: analyzing the traditions and trends in public administration and management in post-wwii europe.

Research Aim: The purpose of the research will be to analyze the characteristics of cultural and national communities that have influenced public administration and management in the 1970s and 1980s in Europe. The study will be carried out using a systematic literature review.

Topic 2: The Impact of Gender-inclusive Gatekeeping and Predecessors Influence on the Success of Female CEOs

Research Aim: The purpose of the research will explore how local organisational agents and contexts can help women leaders overcome barriers and achieve success at higher levels in corporate firms. The study will focus on CEO succession events and predecessor CEOS factors and their influence on women post-succession. The research design will be developed qualitatively.

Topic 3: Analysing the Impact of Daily Psychological Power on Organisational Leaders

Research Aim: The research will use quantitative techniques to analyze power-holders relational and interdependent work contexts. The study will examine the effect of daily psychological power using the factors of abusive behaviour and perceived incivility.

Topic 4: Examining the Impact of Cultural Diversity on Interaction Process and Performance

Research Aim: Using quantitative techniques, the research will analyse the interaction process and performance factors in two groups of employees in the services industry – homogenous and culturally diverse. The effectiveness in operation and arrangements will be examined.

Topic 5: Analyzing the Impact of ‘Voice’ and ‘Silence’ on Destructive Leadership

Research Aim: The research will examine the limited and biased view of silence in management literature. The study will also analyse the impact of silence in an organisation in terms of a functional value using quantitative research techniques. Furthermore, how silence in organisations can be used as a strategic response will be discussed.

Topic 6: Examining the Relationship between Productivity, Management Practices, and Employee Ability in the UK Setting

Research Aim: Using quantitative techniques, the study will analyse a relationship between productivity, management practices, and employee ability using data from management practices surveys and employees’ longitudinal earnings records.

Topic 7: Analysing the Factors that Impact International Differences in Gender Pay Gap

Research Aim: The research will use quantitative techniques to analyse microdata from various countries between 1980 and 2010. The study will use the factors of wage structures, net supply, wage compression, collective bargaining coverage, and unionised wage setting to identify the lower gender pay gap internationally.

Topic 8: The Impact of Psychosocial Hazards on Workplace Risk Management

Research Aim: The study will investigate workplace risk management practices in industry sectors with a high risk of musculoskeletal disorders (MSDs) and mental health disorders (MHDs) and the extent to which they may rise from psychosocial hazards. The research will be conducted using qualitative research techniques.

Strategic Management and Organisational Behavior Dissertation Topics

Strategic management and organisational behaviour can be described as the actions a firm takes to achieve its business objectives primarily derived from competitive markets’ dynamic behaviour. Following are some interesting dissertation topics under this field of study;

Topic 1: The Impact of Organisational Goals on Organisation Behavior

Research Aim: The primary focus of this research will be to combine factors from the theory of action, phases and self-determination theory to develop a motivational model that will explain the relationship between organisational goals setting process that lead to organisational behaviour. The research will be conducted using mixed methods of research techniques.

Topic 2: Integrating the Principles of Strategic Human Capital and Strategic Human Resource Management to Improve Organisational Performance

Topic 3: comparing the impact of family and non-family firm goals on strategy, family and organisational behavior.

Research Aim: This research will analyse the differences between family and non-family business goals and their impact on how businesses develop strategies. Also, the research will assess how these developed strategies would affect family and organisational behaviour. This research will use quantitative research techniques.

Topic 4: Analyzing the Effect of Strategy, Innovation, Networks and Complexity on Organisational Adaptability – The Mediating Effect of Leadership

Research Aim: The current study will use empirical analysis to examine the effects of strategy, innovation, networks, and complexity of organisational adaptability using leadership as a mediation factor.

Topic 5: Examining the Effect of Appointment of a Racial Minority Female CEO on White Male Top Manager Intrapsychic and Behavioral Responses

Research Aim: This research will examine white male managers’ behavioural responses to a female racial minority CEO’s appointment. The behaviour that the research will analyse is the amount of help that the white male top manager provides to their fellow executives. The research will be conducted using quantitative techniques.

Topic 6: Analysis of the Effectiveness of an Affect-Based Model to Portray Recipients Responses to Organisational Change Events

Research Aim: The study will use the Affect-Based Model developed by Oreg et al. (2016) to analyse if it is useful in documenting and portraying the recipient responses to organisational change events. The research will use factors of valence and activation to assess the effectiveness of the model. The study will be conducted using quantitative techniques.

Topic 7: Evaluating the Relationship between the personality of a CEO and Employee Motivation

Research Aim: This research will investigate the relationship between a CEO’s personality and employee motivation. The core of this study will be to assess whether a CEO’s character possesses the power to influence employee motivation or not. Case studies from various companies will be used in this study.

Topic 8: Assessing the Role of Managers in Bringing and Implementing Technological Change in an Organisation

Research Aim: This research will focus on how managers implement technological change in their organisations. Change management is challenging as not all employees are open to accepting change. This research will focus on various ways through which managers successfully implement technological change in their companies.

Topic 9: An Analysis of Organisational Change Management: Why Employees Resist Change?

Research Aim: This research will focus on why employees resist change in organisations, i.e., why employees dislike change. Different causes and factors will be discussed in this study, and the research will conclude why employees do not wholeheartedly accept the change.

Knowledge Management Dissertation Topics

The importance of knowledge management for organisations can’t be understated because this aspect of management enhances the workforce’s capabilities and overall productivity. It leads to a competitive advantage and provides the basis for differentiating an organisation from its competitors. Some interesting dissertation topics under this field are;

Topic 1: Examining the Impact of Enterprise Social Networking Systems (ESNS) on Knowledge Management and Organisational Learning

Research Aim: The research will investigate the effect of ESNS on knowledge management processes and organisational learning. The research will use knowledge creation and sharing to play the mediating role in analysing the proposed relationship. The proposed study will use empirical research methods.

Topic 2: A Review of Knowledge Management Research

Research Aim: The research paper will use a systematic literature review technique for the proposed study. The research will review the last twenty years of knowledge management literature to assess the presence of bias in explaining knowledge integration over research by exploring knowledge differentiation processes.

Topic 3: The Impact of the Internet of Things (IoT) on Innovation and Knowledge Management Capacity

Research Aim: The purpose of this research will be to investigate the plausible relationship between knowledge management systems, open innovation, knowledge management capacity, and innovation capacity in firms. The research will be conducted using empirical techniques to draw reliable conclusions.

Topic 4: The Impact of Strategic Knowledge Management on MNC and their Subsidiaries Performance

Research Aim: The research will develop a model to test the possibility of a relationship between strategic knowledge management (SKM) processes and organisation performance compared between multinational companies and their subsidiaries. The research will also analyse the impact of relational context on knowledge creation and transfer.

Topic 5: Analyzing the Relationship between Knowledge Management Practices and Knowledge Worker Performance - The Mediating Role of Organisational Commitment

Research Aim: The study will analyse the role of knowledge management practices to address the issues of insufficient organisational commitment and knowledge workers’ performance in the UK’s public sectors. The proposed study will use quantitative research techniques to fulfil its aim and objectives.

Topic 6: The Relationship between Knowledge Management Processes and Sustainable Competitive Advantage in Private Business Schools in the UK

Research Aim: The proposed research will explore the impact of knowledge management processes on sustainable completive advantages by using knowledge-based view (KBV) and resource-based view (RBV) as mediators in the relationship. The research will be conducted using quantitative techniques of data collection (i.e. questionnaire) and analysis (i.e. structural equation modelling).

Topic 7: The Impact of Strategic Knowledge Management on Manufacturing Firm’s Performance

Research Aim: The purpose of the study will be to empirically investigate the relationship between the availability and use of IT solutions for strategic knowledge management and a manufacturing firm’s performance, which will be measured in unit production. The research will use the resource-based view and the knowledge-based theory to develop a conceptual framework to analyze this relationship’s effect.

Topic 8: Evaluating how Knowledge Management Impacts Company Performance: A Case Study of Sainsbury

Research Aim: This research will discuss the basic concepts of knowledge management. The study will also discuss the impact knowledge management has on a company’s performance, i.e. how it helps companies achieve their goals. The main focus of this research work will be on Sainsbury’s knowledge management framework.

Topic 9: Knowledge Management as a Core Competency? Evaluating the Application and Benefits of Knowledge Management

Research Aim: This research will uncover how companies utilise knowledge management as their core competency and how it benefits their business operations. This study’s main focus will be on applying the various concepts of knowledge management and their implication for businesses.

Topic 10: Exploring the Managerial Concerns and Issues in Knowledge Management and Their Impact on Organisations

Research Aim: This research will explore the managerial concerns and issues related to knowledge management. The study will also focus on assessing the impact of these issues on businesses and how they can influence day-to-day operations. This will be an evidence-based study where evidence from different companies and various situations will be evaluated.

Leadership and Management Information System Dissertation Topics

Leadership drives the organisational agenda and is regarded as one of the most influential factors in streamlining organisations’ processes. Good leadership results in better performance of any organisation because it gives direction to the business activities under the market conditions and requirements.

Similarly, management information systems are pivotal to any organisation’s success and successfully implementing them can benefit the organisation in many ways. Following are some dissertation topics under the subject of leadership and management information systems;

Topic 1: The Role of Information Systems (IS) in Enterprise Architecture and its Impact on Business Performance

Research Aim: This study will examine the relationship between IS Enterprise Architecture and business performance using technical alignment and IS capabilities mediators. This research will be conducted using quantitative techniques to fulfil its aim.

Topic 2: Exploring The Relationship between Ethical Leadership and Employee Knowledge Sharing

Research Aim: This research will use social learning theories and self-determination to investigate the relationship between ethical learning and employee knowledge sharing. The study will be conducted using empirical research techniques.

Topic 3: Analysing the Impact of Relationship Leadership and Social Alignment on Information Security Systems Effectiveness in Private Organisations

Research Aim: This research will use social capital theory as its theoretical foundation to explore the impact of relational leadership on social alignment between business and IT executives. The relational model will study the factors of integrated knowledge, information security system effectiveness, and organisational performance. This research will use empirical techniques.

Topic 4: Examining the Relationship between Operating Room (OR) Leadership and Operating Staff Performance

Research Aim: This research will analyse the relationship between Operating Room leadership and operating staff performance. This will be done using emotional intelligence and collaboration variables to assess staff performance, using recovery numbers. The relationship will also be examined through the mediating role of leadership principles. The data will be collected and assessed using quantitative research techniques.

Topic 5: The Role of Transformational Leadership as a Mediating Variable in the DeLone and McLean Information Success Model.

Research Aim: The research will use the DeLone and McLean Information Success Model to analyse if productivity software implemented in an organisation can improve its performance. However, the research will also evaluate the model and propose modifications to include transformational leadership as a mediating factor in the information success model. The research will be quantitative in nature.

Topic 6: Assessing the Role of Leadership in an Organisation to Help Adopt Advanced Technological Systems

Research Aim: This research will assess the role of leadership in an organisation to help companies realise the importance of innovative, technologically advanced systems. Many companies today are still naive to the ever more important role of technology. Thus this research will aim to help companies adopt innovative technological systems through leadership. The research will be evidence-based in nature.

Topic 7: Evaluating How Changing Business Leadership Impacts Technological Organisational Performance

Research Aim: Changing leadership in organisations can prove a disaster if not handled properly. The transition process is extremely challenging, and companies should have the capability to handle this phase. This research will explore how their decision to change leadership impacts technological and organisational performance and how to optimise the process. This research will be quantitative in nature.

Topic 8: Can Information Systems in Organisations Be Considered a Competitive Advantage?

Research Aim: Information systems, if implemented successfully, benefit organisations immensely. The impact that an information system has and its results help companies stay ahead of their competitors. This research will assess how companies can turn their information systems into a competitive advantage, and most importantly, whether they or not information systems should be considered a competitive advantage.

Topic 9: Understanding the Leadership Challenges of Implementing and Managing an Advanced Information System in an Organisation

Research Aim: This research will help explain the challenges that managers and the entire leadership of an organisation face when implementing an advanced information system. Bringing a change in a company is challenging, and throw in a technology to implement, the process becomes even more challenging. This study will explore in detail all related challenges through quantitative research.

Topic 10: Do all Business Processes in an Organisation need Information System Management?

Research Aim: It is often argued that not all business processes require information systems. However, when talking about today’s world and the technological advancements taking place, it is recommended that business processes in organisations adopt the technology. This research will be a comparative analysis of whether companies are successful and profitable with information systems or without them.

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Organisational Culture and International Business Dissertation Topics

Organisational culture shapes the work ethics and helps in defining the professional image of organisations. Organisational culture plays a huge role in international business.

Organisations that adopt the country’s culture they are operating in are known to run their operations more successfully. The following topics are related to organisational culture and international business and help students choose an appropriate topic according to their interests.

Topic 1: The Impact of Organisational Culture of Collaborative Networks Influence on IT Governance Performance in Large Enterprises

Research Aim: This research will explore the influence of collaborative networks’ organisational culture on IT governance performance. The study will use a case study to analyse multinationals as they have a wide working network. The purpose of the research will be to determine whether or not organisational culture helps businesses effectively use IT in business operations. The research will be conducted using mixed methods research.

Topic 2: Analysing the Relationship between Supervisor’s Job insecurity and Subordinates’ Work Engagement

Research Aim: The purpose of this research is two-fold. The research will analyse the relationship between the supervisor’s job insecurity and subordinates’ work engagement using a mediator and a moderator. The research will first examine the mediating role of subordinate’s pro-social voice between supervisor job insecurity and subordinates’ work engagement. Next, the research will examine the moderating role of organisational culture between the supervisor’s job insecurity and sub-ordinates pro-social voice. The research will be conducted through quantitative techniques.

Topic 3: Analysing the Impact of Individual Perception of Organisational Culture on the Learning Transfer Environment

Research Aim: The research will be conducted empirically to assess the relationship between culture (as perceived by employees) and the work environment based learning factors (i.e. learning transfer environment [LTE]) in the organisation). LTE is measured using feedback and coaching factors that received resistance or openness to chance, personal outcomes, and supervisor and peer support.

Topic 4: The Role of Organisational Culture on the Development of Psychological Distress in the Workplace

Research Aim: The purpose of the study will be to analyse how organisational culture may cause the symptoms of psychological distress in the workforce. The study will use corporate culture and work organisation conditions as base factors to relate them to employees’ psychological distress. The research will be conducted using quantitative research techniques.

Topic 5: Analysing the Role of Leadership and Organisational Culture

Research Aim: The research will examine the relationship between organisational culture, leadership and employee outcomes. The paper will focus on the mediator of leadership processes and their impact on the relationship between culture and employee outcomes. The study will be conducted using quantitative research techniques.

Topic 6: The Role and Relationships among Strategic Orientations, Cultural Intelligence, International Diversification and Performance of Organisations

Research Aim: The research will aim to understand the drivers of the international expansion of globalised firms. The research will explore the relationship between strategic orientations and cultural intelligence as drivers and international diversification and firm performance. Strategic orientations used in the study include international market orientation (IMO) and entrepreneurial orientation (IEO). The study will be conducted using quantitative research techniques.

Topic 7: Dynamics of Corruption Culture Distance to Core Values

Research Aim: The research will examine how corporate bribery is impacted by cultural distance between multinational enterprises (MNEs) in their home and host countries. The research will also analyse the organisational distance to core value between MNE’s entry into the host country and its headquarters. The research will use empirical data collection and analysis techniques.

Topic 8: Examining Organisational Export Performance by International Business Competencies

Research Aim: The study aims to explore the relationship between international business competencies and export performance. The research will also analyse export performance by singular analysis or combined analysis of the competencies. The research will be conducted using empirical data.

Topic 9: Does Organisational Culture Influence the Leadership Type that a Company Should Adopt?

Research Aim: This research will argue whether companies should hire leaders concerning their culture or not. Organisational culture and leadership are interconnected. Thus companies that do not operate according to their culture struggle to grow exponentially. This research will aim to focus on the possible relationship between leadership and organisational culture. The research will be evidence-based.

Topic 10: Organisational Culture and International Business Competition: Are they Interrelated?

Research Aim: Organisational culture plays a huge role in making a company competitive internationally. When a business’s culture is motivating to all employees and identifies the right culture for its employees, there is every likelihood of rapid growth for both the company and the employees. The research will explore how the two concepts are interrelated.

Important Notes:

As a management student looking to get good grades, it is essential to develop new ideas and experiment with existing management theories – i.e., to add value and interest to your research topic.

The management field is vast and interrelated to many other academic disciplines like operations management , business , business administration , MBA , human resource management and more. That is why creating a management dissertation topic that is particular, sound, and actually solves a practical problem that may be rampant in the field is imperative.

We can’t stress how important it is to develop a logical research topic based on your entire research. There are several significant downfalls to getting your topic wrong; your supervisor may not be interested in working on it, the topic has no academic creditability, the research may not make logical sense, there is a possibility that the study is not viable.

This impacts your time and efforts in writing your dissertation , as you may end up in the cycle of rejection at the initial stage of the dissertation. That is why we recommend reviewing existing research to develop a topic, taking advice from your supervisor, and even asking for help in this particular stage of your dissertation.

Keeping our advice in mind while developing a research topic will allow you to pick one of the best management dissertation topics that fulfil your requirement of writing a research paper and adds to the body of knowledge.

Therefore, it is recommended that when finalizing your dissertation topic, you read recently published literature to identify gaps in the research that you may help fill.

Remember- dissertation topics need to be unique, solve an identified problem, be logical, and be practically implemented. Please look at some of our sample management dissertation topics to get an idea for your own dissertation.

How to Structure your Management Dissertation

A well-structured dissertation can help students to achieve a high overall academic grade.

A Title Page
Acknowledgements
Declaration
Abstract: A summary of the research completed
Table of Contents
Introduction : This chapter includes the project rationale, research background, key research aims and objectives, and the research problems. An outline of the structure of a dissertation can also be added to this chapter.
Literature Review : This chapter presents relevant theories and frameworks by analysing published and unpublished literature on the chosen research topic to address research questions . The purpose is to highlight and discuss the selected research area’s relative weaknesses and strengths while identifying research gaps. Break down the topic and key terms that can positively impact your dissertation and your tutor.
Methodology : The data collection and analysis methods and techniques employed by the researcher are presented in the Methodology chapter, which usually includes research design , research philosophy, research limitations, code of conduct, ethical consideration, data collection methods, and data analysis strategy .
Findings and Analysis : Findings of the research are analysed in detail under the Findings and Analysis chapter. All key findings/results are outlined in this chapter without interpreting the data or drawing any conclusions. It can be useful to include graphs, charts, and tables in this chapter to identify meaningful trends and relationships.
Discussion and Conclusion : The researcher presents his interpretation of results in this chapter and states whether the research hypothesis has been verified or not. An essential aspect of this section is establishing the link between the results and evidence from the literature. Recommendations with regards to implications of the findings and directions for the future may also be provided. Finally, a summary of the overall research, along with final judgments, opinions, and comments, must be included in the form of suggestions for improvement.
References : Make sure to complete this by your University’s requirements
Bibliography
Appendices : Any additional information, diagrams, and graphs used to complete the dissertation but not part of the dissertation should be included in the Appendices chapter. Essentially, the purpose is to expand the information/data.

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PhD and Masters Theses

ORC THESES AND THE ORC MISSION

The theses produced at the ORC are a principle way in which the ORC achieves its mission.

Whether you are a member of our doctoral degree (PhD) program or our master’s degree (SM) program in operations research, you will write a thesis based on original, independent research conducted under the guidance of our expert faculty.

Below you will find a listing by year of the research performed by ORC students.

Theses are available on the DSpace@MIT online archive. If you would like to request a copy of a thesis, please contact MIT Document Services at 617.253.5650 or [email protected] .

MIT Document Services owns the copyrights for all MIT student theses.

Behdin, Kayhan Statistical Learning with Discrete Structures: Statistical and Computational Perspectives, June 2024

Bennouna, Mohammed Amine Efficient Robustness and Interpretability in Learning and Data-Driven Decision-Making, June 2024

Blanchard, Moïse Fundamental Limits of Learning for Generalizability, Data Resilience, and Resource Efficiency, June 2024

Das Gupta, Shuvomoy Advances in Computer-Assisted Design and Analysis of First-Order Optimization Methods and Related, June 2024

Hu, Kevin Predicting Risk and Optimizing Resilience of Digital and Physical Supply Chains, September 2024

Johnson, Nicholas André G Advances in Sparse and Low Rank Matrix Optimization for Machine Learning Applications, September 2024

Kim, Cheol Woo Predictive and Prescriptive Trees for Optimization and Control Problems, September 2024

Shah, Sohil Information Design for Platform-Enabled Operations, June 2024

Thayaparan, Leann Analytics and Decision Making in Sustainable Operations, June 2024

Villalobos Carballo, Kimberly M. Integrating Optimization and Modern Machine Learning: Theory, Computation, and Healthcare Applications, June 2024

Wang, Haoyue Large-scale Algorithms for Machine Learning: Efficiency, Estimation Errors, and Beyond, June 2024

Yao, Yuanfan (Evan) Advancements in Models and Algorithms for Management Science, September 2024

Zeng, Cynthia Multimodal Machine Learning for Climate Adaptation, June 2024

Zhai, Chen Wen (Sabrina) Advancements in Management Science: Applications to Online Retail, Healthcare, and Non-Profit Fundraising, September 2024

Boussioux, Léonard Multimodality: Models, Algorithms, and Applications, June 2023

Chen, Wenyu Optimization Methods for Machine Learning under Structural Constraints, June 2023

Cummings, Kayla Toward Microtransit: Design and Operations of Reservation-based Systems, September 2023

Digalakis, Vasileios Analytics under Variability, Volume, and Velocity with Applications to Sustainability and Healthcare, June 2023

Gilmour, Samuel Allocating Scarce Resources: Modeling and Optimization, June 2023

Gong, Xiaoyue Data-Driven Decision Making in Operations Management, June 2023

Liang, Jason Cheuk Nam Automated Data-driven Algorithm and Mechanism Design in Online Advertising Markets, June 2023

Na, Liangyuan Optimal Decision Making for Healthcare Operations: Models and Implementation, June 2023

Susan, Fransisca Online Combinatorial Optimization for Digital Marketplaces, June 2023

Wilde, Joshua Analytics-Enabled Quality and Safety Management Methods for High-Stakes Manufacturing Applications, February 2023

Zhao, Renbo New Theory and Algorithms for Convex Optimization with Non-Standard Structures, June 2023

Zheng, Andrew Experimentation and Control in Online Platforms, June 2023

Baek, Jackie Decision-Making Under Uncertainty: From Theory to Practice, September 2022

Coey, Christopher Daniel Lang Interior point and outer approximation methods for conic optimization, May 2022

Cohen, Peter L. Algorithmic Approaches to Nonparametric Causal Inference, May 2022

Cory-Wright, Ryan Integer and Matrix Optimization: A Nonlinear Approach, May 2022

Foncea Araneda , Patricio Tomas Learning and Optimization in Modern Retail, September 2022

Gibson, Emma Optimizing Healthcare Delivery in Resource-Limited, September 2022

Kapelevich, Lea Techniques for handling nonsymmetric cones in interior point algorithms, May 2022

Lahlou Kitane, Driss Sparsity in Machine Learning: Theory and Applications, February 2022

Li, Michael Lingzhi Algorithms for Large-scale Data Analytics and Applications to the COVID-19 Pandemic, February 2022

Meigs, Emily Information and Incentives in Online Platforms, September 2022

Papalexopoulos, Theodore P. Multi-Objective Optimization for Public Policy, May 2022

Paskov, Ivan Spassimirov Stable Machine Learning, February 2022.

Paynter, Jonathan Modeling Aspects of Military Readiness, May 2022

Skali Lami, Omar Predictive and Prescriptive Analytics in Operations Management, May 2022

Sobiesk, Matthew Machine Learning Algorithms and Applications in Health Care, February 2022

Spantidakis, Ioannis Constrained Inventory Optimization on Complex Warehouse Networks, September 2022

Wiberg, Holly Mika Data-driven healthcare via constraint learning and analytics, May 2022

Xu, Qingyang Financial and Analytic Innovations for Therapeutic Development, May 2022

Amar, Jonathan Z. Algorithmic Advancements in the Practice of Revenue Management, February 2021.

Bandi, Hari Improving Efficiency and Fairness in Machine Learning: a Discrete Optimization Approach, September 2021.

Delarue, Arthur Optimizing School Operations, June 2021.

Hazimeh, Hussein Sparse Learning using Discrete Optimization: Scalable Algorithms and Statistical Insights, September 2021.

Koduri, Nihal Essays on Decision Making Under Uncertainty, June 2021.

Orfanoudaki, Agni Novel Machine Learning Algorithms for Personalized Medicine and Insurance, June 2021.

Paulson, Elisabeth Healthy Food Access and Consumption: Informing Interventions Through Analytics, September 2021.

Renegar, Nicholas Predictive Analytics and Machine Learning for the Risk-Based Management of Agricultural Supply Chains, September 2021.

Sinha, Deeksha Optimization for Online Platforms, February 2021.

Berk, Lauren New Optimization Approaches to Matrix Factorization Problems with Connections to Natural Language Processing, June 2020.

Chodrow, Philip S. Structure, Dynamics, and Inference in Networks, September 2020.

Cohen-Hillel, Tamar Past Price and Trend Effects in Promotion Planning; from Prediction to Prescription, September 2020.

Gaudio, Julia Investigations in Applied Probability and High-Dimensional Statistics, June 2020.

Hu, Michael Leveraging Data Analytics to Improve Outpatient Healthcare Operations, February 2020.

Hunter, David New Approaches to Maximizing Influence in Large-Scale Social Networks, February 2020.

Lamperski, Jourdain Bernard Structural and Algorithmic Aspects of Linear Inequality Systems, September 2020.

Lu, Jing Probabilistic Models and Optimization Algorithms for Large-scale Transportation Problems, February 2020.

Pauphilet, Jean Algorithmic Advancements in Discrete Optimization Applications to Machine Learning and Healthcare Operations, June 2020.

Singhvi, Divya Data-Driven Decision Making in Online and Offine Retail, September 2020.

Singhvi, Somya Improving Farmers’ and Consumers’ Welfare in Agricultural Supply Chains via Data-driven Analytics and Modeling: From Theory to Practice, September 2020.

Sturt, Bradley Eli Dynamic Optimization in the Age of Big Data, June 2020.

Wang, Li Online and Offline Learning in Operations, September 2020.

Wang, Yuchen Interpretable Machine Learning Methods with Applications to Health Care, June 2020.

Yan, Julia From Data to Decisions in Urban Transit and Logistics, June 2020.

Zhang, Kevin Real-Time Calibration of Large-Scale Traffic Simulators: Achieving Efficiency Through the Use of Analytical Models, September 2020.

Baardman, Lennart Analytics in Promotional Pricing and Advertising, June 2019.

Beeler, Michael Francis Inference and Decision Models for Regulatory and Business Challenges in Low-Income Countries, September 2019.

Biggs, Max Prescriptive Analytics in Operations Problems: a Tree Ensemble Approach, September 2019.

Burq, Maximilien Dynamic Matching Algorithms, February, 2019.

Chen, Louis Lester Distributionally Robust Optimization with Marginals: Theory and Applications, September 2019.

Fields, Evan Demand Uncensored: Inferring Demand for Car-Sharing Mobility Services Using Data-Driven and Simulation-Based Techniques, February, 2019.

Hariss, Rim Data-driven Optimization with Behavioral Considerations: Applications to Pricing, September 2019.

Lu, Haihao Large-Scale Optimization Methods for Data-Science Applications, June 2019.

Martin, Sebastien The Edge of Large-Scale Optimization in Transportation and Machine Learning, June 2019.

McCord, Christopher George Data-Driven Dynamic Optimization with Auxiliary Covariates, June 2019.

Mellou, Konstantina Resource Scheduling and Optimization in Dynamic and Complex Transportation Settings, June 2019.

Mundru, Nishanth Predictive and Prescriptive Methods in Operations Research and Machine Learning: An Optimization Approach, June 2019.

Nambiar, Mila Data-driven Pricing and Inventory Management with Applications in Fashion Retail, September 2019.

Ng, Yee Sian Advances in Data-Driven Models for Transportation, June 2019.

Pawlowski, Colin Machine Learning for Problems with Missing and Uncertain Data with Applications to Personalized Medicine, June 2019.

Tay, Joel Integrated Robust and Adaptive Methods in the Heating Oil Industry, February, 2019.

Zadik, Ilias Computational and Statistical Challenges in High Dimensional Statistical Models, September 2019.

Amjad, Muhammad Jehangir Sequential Data Inference via Matrix Estimation: Causal Inference, Cricket and Retail, September 2018.

Chen, Chongli Daniel Operations Management in a Large Online Retailer: Inventory, Scheduling and Picking, September 2018.

Copenhaver, Martin Steven Sparsity and robustness in modern statistical estimation, June 2018.

Dunn, Jack William Optimal Trees for Prediction and Prescription, June 2018.

Galle, Virgile Optimization Models and Methods for Storage Yard Operations in Maritime Container Terminals, February 2018.

Goh, Chong Yang Learning with Structured Decision Constraints, June 2018.

Goh, Siong Thye Machine Learning Approaches to Challenging Problems: Interpretable Imbalanced Classification, Interpretable Density Estimation, and Causal Inference, June 2018.

Gutin, Eli Practical Applications of Large-Scale Stochastic Control for Learning and Optimization, September 2018.

Huchette, Joseph Andrew Advanced mixed-integer programming formulations: Methodology, computation, and application, June 2018.

Li, Andrew A. Algorithms for Large-Scale Personalization, June 2018.

Ma, Will (Wei) Dynamic, Data-driven Decision-making in Revenue Management, September 2018.

Owen, Zachary Davis Owen Revenue Management and Learning in Systems of Reusable Resources, June 2018.

Papush, Anna Data-Driven Methods for Personalized Product Recommendation Systems, February 2018.

Pixton, Clark Operational Decisions and Learning for Multiproduct Retail, June 2018.

Tracà, Stefano Regulating exploration in multi-armed bandit problems with time patterns and dying arms, June 2018.

Udwani, Rajan Vignettes on Robust Combinatorial Optimization, September 2018.

Wang, Shujing Improving Behavioral Decision Making in Operations and Food Safety Management, September 2018.

Zhuo, Ying Daisy New Algorithms in Machine Learning with Applications in Personalized Medicine, June 2018.

Aouad, Mohammed Revenue Management in Face of Choice Heterogeneity, September 2017.

Cheung, Wang Chi Data-driven Algorithms for Operational Problems, February 2017.

Eschenfeldt, Patrick Clark Multiserver Queueing Systems in Heavy Traffic, February 2017.

Flajolet, Arthur Adaptive Optimization Problems under Uncertainty with Limited Feedback, June 2017.

Gupta, Swati Combinatorial Structures in Online and Convex Optimization, June 2017.

Korolko, Nikita A Robust Optimization Approach to Online Problems, June 2017.

Kung, Jerry Lai An Analytics Approach to Problems in Health Care, June 2017.

Lubin, Miles Mixed-Integer Convex Optimization: Outer Approximation Algorithms and Modeling Power, September 2017.

Marks, Christopher E. Analytic Search Methods in Online Social Networks, June 2017.

Thraves Cortés-Monroy, Charles Mark New Applications in Revenue Management, June 2017.

Weinstein, Alexander Michael From Data to Decisions in Healthcare: An Optimization Perspective, June 2017.

Yan, Chiwei Airline Scheduling and Air Traffic Control: Incorporating Passenger and Airline Preferences and Uncertainty, September 2017.

Dunning, Iain Robert Advances in Robust and Adaptive Optimization: Algorithms, Software, and Insights, June 2016.

Grigas, Paul Methods for Convex Optimization and Statistical Learning, September 2016.

Misic, Velibor V. Data, Models and Decisions for Large-Scale Stochastic Optimization Problem, June 2016.

Remorov, Alexander Dynamic Trading and Behavioral Finance, June 2016.

Shaposhnik, Yaron Exploration vs. Exploitation: Reducing Uncertainty in Operational Problems, September 2016.

Shi, Peng Prediction and Optimization in School Choice, June 2016.

Wang, He Dynamic Learning and Optimization for Operations Management Problems, June 2016.

Youssef, Nataly Stochastic Analysis via Robust Optimization, February 2016.

Yuan, Rong Velocity-based Storage and Stowage Decisions in a Semi-automated Fulfillment System, September 2016.

Bisias, Dimitrios Applications of Optimal Portfolio Management, September 2015.

Calmon, Andre du Pin Reverse Logistics for Consumer Electronics: Forecasting Failures, Managing Inventory, and Matching Warranties, June 2015.

Cohen, Maxime C. Pricing for Retail, Social Networks and Green Technologies, September 2015.

Fagnan, David Erik Analytics for Financing Drug Development, June 2015.

Johnson, Kris Analytics for Online Markets, June 2015.

Kallus, Nathan From Data to Decisions Through New Interfaces Between Optimization and Statistics, June 2015.

King, Angela Regression under a Modern Optimization Lens, June 2015.

Letham, Benjamin Statistical Learning for Decision Making: Interpretability, Uncertainty, and Inference, June 2015.

Lin, Maokai Optimization and Equilibrium in Dynamic Networks and Applications in Traffic Systems, February 2015.

Silberholz, John Analytics for Improved Cancer Screening and Treatment, September 2015.

Wang, Hai Design and Operation of a Last Mile Transportation System, June 2015.

Anderson, Ross Michael Stochastic Models and Data Driven Simulations for Healthcare Operations, June 2014.

Elmachtoub, Adam Nabil New Approaches for Integrating Revenue and Supply Chain Management, September, 2014.

Gupta, Vishal Data-Driven Models for Uncertainty and Behavior, June 2014.

Leung, Ngai-Hang Zachary Three Essays in Operations Management, September, 2014.

Zhu, Zhe New Statistical Techniques for Designing Future Generation Retirement and Insurance Solutions, September, 2014.

Bandi, Chaithanya Tractable Stochastic Analysis in High Dimensions via Robust Optimization, June 2013.

Chiraphadhanakul, Virot Large-Scale Analytics and Optimization in Urban Transportation: Improving Public Transit and Its Integration with Vehicle-Sharing Services, June 2013.

Figueroa, Cristian Ricardo Emission Regulations in the Electricity Market: An Analysis from Consumers, Producers and Central Planner Perspectives, September 2013.

Fontana, Matthew William Optimal Routes for Electric Vehicles Facing Uncertainty, Congestion, and Energy Constraints, September 2013.

Keller, Philipp Wilhelm Tractable Multi-product Pricing under Discrete Choice Models, June 2013.

Lu, Xin Online Optimization Problems, June 2013.

Monsch, Matthieu Large Scale Prediction Models and Algorithms, September 2013.

O’Hair, Allison Kelly Personalized Diabetes Management, June 2013.

Simchi-Levi, David Effectiveness and Design of Sparse Process Flexibilities, June 2013.

Uichanco, Joline Ann Villaranda Data-driven Optimization and Analytics for Operations Management Applications, September 2013.

Acimovic, Jason Andrew Lowering Outbound Shipping Costs in an Online Retail Environment by Making Better Fulfillment and Replenishment Decisions, September 2012.

Chang, Allison An Integer Optimization Methods for Machine Learning, June 2012.

Frankovich, Michael Joseph Air Traffic Flow Management at Airports: A Unified Optimization Approach, September 2012.

Gupta, Shubham A Tractable Optimization Framework for Air Traffic Flow Management Addressing Fairness, Collaboration and Stochasticity, June 2012.

Lobel, Ruben Pricing and Incentive Design in Applications of Green Technology Subsidies and Revenue Management, June 2012.

Shi, Cong Provably Near-Optimal Algorithms for Multi-stage Stochastic Optimization Models in Operations Management, September 2012.

Sun, Wei Price of Anarchy in Supply Chains, Congested Systems and Joint Ventures, September 2012.

Telha Cornejo, Claudio Algorithms and Hardness Results for the Jump Number Problem, the Joint Replenishment Problem, and the Optimal Clustering of Frequency-Constrained Maintenance Jobs, February 2012.

Teytelman, Anna Modeling Reduction of Pandemic Influenza Using Pharmaceutical and Non-Pharmaceutical Interventions in a Heterogeneous Population, June 2012.

Zhong, Yuan Resource Allocation in Stochastic Processing Networks: Performance and Scaling, September 2012.

Becker, Adrian Bernard Druke Decomposition Methods for Large Scale Stochastic and Robust Optimization Problems, September 2011.

Chhaochhria, Pallav Forecast-driven Tactical Planning Models for Manufacturing Systems, September 2011.

Dunkel, Juliane The Gomory-Chv´atal Closure: Polyhedrality, Complexity, and Extensions, June 2011.

Goldberg, David Alan Large Scale Queueing Systems: Asymptotics and Insights, June 2011.

Kluberg, Lionel J. Competition and Loss of Eciency: From Electricity Markets to Pollution Control, June 2011.

Michalek Pfeil, Diana Optimization of Airport Terminal-Area Air Traffic Operations under Uncertain Weather Conditions, June 2011.

Mittal, Shashi Algorithms for Discrete, Non-Linear and Robust Optimization Problems with Applications in Scheduling and Service Operations, September 2011.

Rikun, Alexander Anatolyevich Applications of Robust Optimization to Queueing and Inventory Systems, June 2011.

Sun, Xu Andy Advances in Electric Power Systems: Robustness, Adaptability, and Fairness, September 2011.

Trichakis, Nikolaos K. Fairness in Operations: From Theory to Practice, June 2011.

Williams, Gareth Pierce Dynamic Order Allocation for Make-To-Order Manufacturing Networks: An Industrial Case Study of Optimization Under Uncertainty, June 2011.

Zarybnisky, Eric Jack Maintenance Scheduling for Modular Systems–Models and Algorithms, September 2011.

Bimpikis, Kostas Strategic Delay and Information Exchange in Endogenous Social Networks, September 2010.

Doan, Xuan Vinh Optimization under Moment, Robust, and Data-Driven Models of Uncertainty, February 2010.

Fearing, Douglas The Case for Coordination: Equity, Efficiency and Passenger Impacts in Air Traffic Flow Management, Septmeber 2010.

Iancu, Dan Andrei Adaptive Robust Optimization with Applications in Inventory and Revenue Management, Septmeber 2010.

Menjoge, Rajiv New Procedures for Visualizing Data and Diagnosing Regression Models, June 2010.

Weber, Theophane Correlation Decay and Decentralized Optimization in Graphical Models, February 2010.

Harsha, Pavithra – Mitigating Airport Congestion: Market Mechanisms and Airline Response Models, February 2009.

Lobel, Ilan – Social Networks: Rational Learning and Information Aggregation, September 2009.

Lu, Ye – Essays on Inventory, Pricing and Financial Trading Strategies, September 2009.

Nguyen, Tri-Dung – Robust Estimation, Regression and Ranking with Applications in Portfolio Optimization, June 2009.

Nigmatulina, Karima Robert – Modeling and Responding to Pandemic Influenza: Importance of Population Distributional Attributes and Non-Pharmaceutical Interventions, June 2009.

Stratila, Dan – Combinatorial Optimization Problems with Concave Costs, February 2009.

Bjarnadottir, Margret – Data-Driven Approach to Health Care: Applications Using Claims Data, September 2008.

Chandler, Lincoln J. – The Minority Achievement Gap in a Suburban School District, June 2008.

Czerwinski, David – Quality of Care and Drug Surveillance: A Data-Driven Perspective, June 2008.

Mamani, Hamed – Supply Chain Coordination and Influenza Vaccination, September 2008.

Pei, Pamela – Towards a Unified Theory of Procurement Contract Design: Production Flexibility, Spot Market Trading, and Contract Structure, June 2008.

Rogozhnikov, Dmitriy – Algorithmic issues in queueing systems and combinatorial counting problems, September 2008.

Shah, Premal – Analysis of Employee Stock Options and Guaranteed Withdrawal Benefits for Life, September 2008.

Uhan, Nelson – Algorithmic and Game-Theoretic Perspectives on Scheduling, June 2008.

Chan, Timothy – Optimization under Uncertainty in Radiation Therapy, June 2007.

Goundan, Pranava – Essays on Optimization and Incentive Contracts, June 2007.

Kaminski, Kathryn – General Superposition Strategies and Asset Allocation, June 2007.

Le-Tallec, Yann – Robust, Risk-Sensitive, and Data-driven Control of Markov Decision Processes, February 2007.

Shum, Wanhang – Effective Contracts in Supply Chains, June 2007.

Simon, Carine – Dynamic Pricing with Demand Learning under Competition, September 2007.

Sivaraman, Raghavendran – Capacity Expansion in Contemporary Telecommunication Networks, September 2007.

Teo, Kwong Meng – Nonconvex Robust Optimization, June 2007.

Adida, Elodie – Dynamic Pricing and Inventory Control with no Backorders under Uncertainty and Competition, June 2006.

Gupta, Shobhit – Buyout Prices in Online Auctions, June 2006.

McCann, Lauren – Robust Model Selection and Outlier Detection in Linear Regression, June 2006.

Meyers, Carol – Network Flow Problems and Congestion Games: Complexity and Approximation Results, June 2006.

Nogueira, Alexandre – Studies Integrating Geometry, Probability, and Optimization Under Convexity, June 2006.

Roels, Guillaume – Information and Decentralization in Inventory, Supply Chain, and Transportation Systems, June 2006.

Wagner, Michael – Online Optimization in Routing and Scheduling, June 2006.

Yee, Michael – Inferring Noncompensatory Choice Heuristics, June 2006.

Aghassi, Michele Leslie – Robust Optimization, Game Theory, and Variational Inequalities, September 2005.

Bompadre, Agustin – Three Essays on Sequencing and Routing Problems, June 2005.

Martonosi, Susan Elizabeth – An Operations Research Approach to Aviation Security, September 2005.

Xu, Ping Josephine – Order Fulfillment in Online Retailing: What Goes Where, September 2005.

Kang, Laura Sumi – Degradable Airline Scheduling: an Approach to Improve Operational Robustness and Differentiate Service Quality, February 2004.

Correa, José Rafael – Approximation Algorithms for Packing and Scheduling Problems, June 2004.

Craft, David – Local Energy Management Through Mathematical Modeling and Optimization, September 2004.

Farahat, Amr – Tractability Through Approximation: A Study of Two Discrete Optimization Problems, September 2004.

Lesnaia, Ekaterina – Optimizing Safety Stock Placement in General Network Supply Chains, September 2004.

Martínez-de-Albéniz, Victor – Portfolio Strategies in Supply Contracts, June 2004.

Sim, Melvyn – Robust Optimization, June 2004.

Sood, Anshul – Competitive Multi-period Pricing for Perishable Products, June 2004.

Stier-Moses, Nicolás E. – Selfish Versus Coordinated Routing in Network Games, June 2004.

Zaretsky, Marina – Essays on Variational Inequalities and Competitive Supply Chain Models, September 2004.

Beil, Damian Two Topics in Online Auctions, June 2003.

Chen, Xin Coordinating Inventory Control and Pricing Strategies, June 2003.

De boer, Sanne Advances in Airline Revenue Management and Pricing, June 2003.

Hawkins, Jeffrey A Largrangian Decomposition Approach to Weakly Coupled Dynamic Optimization Problems and its Applications, June 2003.

Kumar, Mahesh Error-based Clustering and Its Application to Sales Forecasting in Retail Merchandising, September 2003.

Mersereau, Adam Dynamic Optimization for Adaptive Customized Marketing, September 2003.

Shioda, Romy Integer Optimization in Data Mining, June 2003.

Sun, Peng Constructing Learning Models from Data: The Dynamic Catalog Mailing Problem, June 2003.

Wu, Joseph T. Optimization of Influenza Vaccine Strain Selection, June 2003.

Bossert, John Modeling and Solving Variations of the Network Loading Problem, September 2002.

Cohn, Amy E. Composite-Variable Modeling for Large-Scale Problems in Transportation and Logistics, June 2002.

Kachani, Soulaymane Dynamic Travel Time Models for Pricing and Route Guidance: A Fluid Dynamics Approach, June 2002.

Muharremoglu, Alp A New Perspective on Multi-Echelon Inventory Systems, September 2002.

Ordonez, Fernando On the Explanatory Value of Condition Numbers for Convex Optimization: Theoretical Issues and Computational Experience, September 2002.

Pachamanova, Dessislava A. A Robust Optimization Approach to Finance, June 2002.

Rifkin, Ryan Everything Old is New Again: A Fresh Look at Historical Approaches in Machine Learning, September 2002.

Sharma, Dushyant Cyclic Exchange and Related Neighborhood Structures for Combinatorial Optimization Problems, June 2002.

Ergun, Ozlem New Neighborhood Search Algorithms Based on Exponentially Large Neighborhoods, June 2001.

Haugh, Martin B. Essays in Financial Engineering, September 2001.

Humair, Salal Yield Management for Telecommunication Networks: Defining a New Landscape, February 2001.

Lauprete, Geoffrey J. Portfolio Risk Minimization under Departures from Normality, September 2001

Armacost, Andrew P. Composite Variable Formulation for Express Shipment Service Network Design, September 2000.

Chew, Elaine Towards a Mathematical Model of Tonality, February 2000.

Demir, Ramazan An Approximate Dynamic Programming Approach to Discrete Optimization, June 2000.

Gallien, Jérémie Optimization-Based Auctions and Stochastic Assembly Replenishment Policies for Industrial Procurement, June 2000.

Hollywood, John S. Performance Evaluation and Optimization Models for Processing Networks with Queue-Dependent Production Quantities, June 2000.

Hsu, Leon C. The Bottleneck Phenomenon in Scheduling of Transportation Systems, February 2000.

Taylor, Jonathan D. Essays on the Empirical Properties of Stock and Mutual Fund Returns, June 2000.

Croxton, Keely L., Modeling and Solving Network Flow Problems with Piecewise Linear Costs, with Applications in Supply Chain Management, September 1999.

Epelman, Marina, Complexity, Condition Numbers and Conic Linear Systems, June 1999.

Hall, William, Efficient Capacity Allocation in a Collaborative Air Transportation System, June 1999.

Nemec, Joseph, Diffusion and Decompostition Approximations of Stochastic Models of Muolticlass Processing Networks, February 1999.

Popescu, Ioana, Application of Optimization in Probability, finance and Revenue Management, June 1999.

Sethuraman, Jayachandran, Scheduling Multiclass Queueing Networks and Job Shops using Fluid and Semidefinite Relaxation, September 1999.

Sokol, Joel, Optimizing Paint Blocking in an Automobile Assembly Line: An Application of Specialized TSP1s, June 1999.

Chryssikou, Efthalia, Multiperiod Portfolio Optimization in the Presence of Transaction Costs, June 1998.

D’Amato, Rebecca, Management of Antiretroviral Therapy for HIV Infection: Modeling When to Change Therapy, June 1998.

Epstein, Rafael, Linear Programming and Capacitated Network Loading, February 1998.

Gamarnik, David, Stability and Performance of Multiclass Queueing Networks, February 1998.

Hauksson, Arni, The Commercialization of University Research Discoveries: Are University Technology Transfer Offices Stimulating the Process? February 1998.

Kniker, Timothy, Itinerary-Based Airline Fleet Assignment, June 1998.

Osuna, Edgar, Support Vector Machines: Training and Applications, June 1998.

Ruark, John, Implementing Reusable Solvers: An Object-Oriented Framework for Operations Research Algorithms, June 1998.

Toktay, Latife Beril, Analysis of a Production-Inventory System under a Stationary Demand Process and Forecast Updates, June 1998.

Wang, Yi, Modeling and Solving Single and Multiple Facility Network Restoration Problems, June 1998.

Christodouleas, James, Solution Methods for Multiprocessor Network Scheduling Problems, with Application to Railroad Operations” June 1997.

Nunez Araya, Manuel A., Condition Numbers and Properties of Central Trajectories in Convex Programming, September 1997.

Patterson, Sarah Stock, Dynamic Flow Management Problems in Air Transportation, June 1997.

Aggarwal, Charu C., Faster Algorithms for Some Network Flow Problems, June 1996.

Bonvik, Asbjoern M., Performance Analysis of Manufacturing Systems Under Hybrid Control Policies, June 1996.

Fang, Yue, Volatility Modeling and Estimation of High-Frequency Data with Gaussian Noise, June, 1996.

Markowitz, David M., A Unified Approach to Single Machine Scheduling: Heavy Traffic Analysis of Dynamic Cyclic Policies, June 1996.

Pinker, Edieal J., Models of Flexible Workforce Management in Uncertain Environments, June 1996.

Miller, Michael G., Optimal Allocation of Resources to Clinical Trials, September 1996.

Rimm-Kaufman, Alan P., Risk Mitigation Models for a Japanese Railroad,” June 1996.

Teo, Chung-Piaw, Constructing Approximation Algorithms Via Linear Programming Relaxations: Primal Dual and Randomized Rounding Techniques, September 1996.

Zenios, Stefanos A., Health Care Applications of Optimal Control Theory, June 1996.

Burman, Mitchell H., New Results in Flow Line Analysis, June 1995.

Chi, Zhihang, Airline Yield Management in a Dynamic Network Environment, February 1995.

Luo, Xiao-Dong, Continuous Linear Programming: Theory, Algorithms and Applications, September 1995.

Malone, Kerry M., Dynamic Queueing Systems: Behavior and Approximations for Individual Queues and for Networks, June 1995.

Milner, Joseph, Dynamic Slot Allocation with Airline Participation, June 1995.

Mourtzinou, Georgia, An Axiomatic Approach to Queueing Systems, June 1995.

Nino-Mora, Jose, Optimal Resource Allocation in a Dynamic and Stochastic Environment: A Mathematical Programming Approach, June 1995.

Raghavan, S., Formulations and Algorithms for Network Design Problems with Connectivity Requirements, February 1995.

Ricard, Michael J., Optimization of Queueing Networks: An Optimal Control Approach, June 1995.

Rubio, Rodrigo, Dynamic-Stochastic Vehicle Routing and Inventory Problem, September 1995.

Shumsky, Robert A., Dynamic Statistical Models for the Prediction of Aircraft Take-off Times, September 1995.

Theodosopoulos, Theodore V., Stochastic Models for Global Optimization, June 1995.

Huang, Yen-Chin, Empirical Distribution Function Statistics, Speed of Convergence, and p-Variation, June 1994.

Ingolfsson, Armann, Earthquake Forecasts: The Life-Saving Potential of Last-Minute Warnings, September 1994.

Klaassen, Pieter , Stochastic Programming Models for Interest-Rate Risk Management,” June 1994.

Ramakrishnan, V.S., On Cuts and Clutters, September 1994.

Staats, Richard C., Integration of Predictive Routing Information with Dynamic Traffic Signal Control, September 1994.

Mondschein, Susana V., Optimal Sales Strategies in Stochastic, Dynamic Environments, June 1993.

Srivatsan, Narayanan, Synthesis of Optimal Policies for Stochastic Manufacturing Systems, September 1993.

Athaide, Christopher, Capacity Allocation and Safety Stocks in Manufacturing Systems, February 1992.

Chevalier, Philippe, Two Topics in Multistage Manufacturing Systems, June 1992.

Gopalan, Ramasubramanian, Exploiting Process Flexibility in Metal Forming Operations, September 1992.

Hall, Susan A., New Directions in Queue Inference for Management Implementation, June 1992.

Kodialam, Muralidharan, The O-D Shortest Path Problem and Connectivity Problems on Periodic Graphs, February 1992.

Pappu, Suguna, Production Planning with Due-Date Constraints, June 1992.

Polychronopoulos, George, Stochastic and Dynamic Shortest Distance Problems, June 1992.

Veatch, Michael H., Queueing Control Problems for Production/Inventory Systems, September 1992.

Vranas, Peter B., The Multi-Airport Ground-Holding Problem in Air Traffic Control, June 1992.

Abe, Makoto, A Marketing Mix Model Developed From Single Source Data: A Semiparametric Approach, September 1991.

Bai, Sherman X. , Scheduling Manufacturing Systems with Work-in-Process Inventory Control, September 1991.

Ballman, Karla V., Cost-Effectiveness of Smart Traffic Signals, June 1991.

Gau, Shiow-Hwa, Server Management in Queueing System, February 1991.

Ou, Jihong, Dynamic Scheduling of Queueing Networks, September 1991.

Richetta, Octavio, Ground Holding Strategies for Air Traffic Control Under Uncertainty, June 1991.

Talluri, Kalyan T., Issues in the Design and Analysis of Survivable Networks, September 1991.

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Goemans, Michel X., Analysis of Linear Programming Relaxations for a Class Connectivity Problems, September 1990.

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Tan, Kok-Choon, Newton’s Method for Parametric Center Problems, June 1990.

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Eckstein, Jonathan – Splitting Methods for Monotone Operators With Applications to Parallel Optimization, September 1989

Hall, Leslie A. – Two Topics in Discrete Optimization: Polyhedral Structure of Capacitated Trees and Approximation Algorithms for Scheduling, September 1989

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Chapman, Paul T. – Decision Models for Multistage Production Planning, February 1986

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Leung, Janny M. Y. – Polyhedral Structure of Capacitated Fixed Charge Problems and A Problem in Delivery Route Planning, February 1986

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Constantopoulos, Panagiotis C. – Computer-Assisted Control of Electricity Usage By Consumers, June 1983

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Chiu, Samuel S. – Location Problems in the Presence of Queuing, February 1982

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Sempolinski, Dorothy – Inverse Optimization Applied to Fixed Charge Models, February 1981

Yanasse, Horacio H. – Aggregation and Computational Complexity of Lot Size Problems, September 1981

Livne, Zvi A. – The Role of Time in Negotiations, September 1979.

Berman, Oded – Dynamic Positioning of Mobile Servers on Networks, February 1978.

Modiano, Eduardo M. – Normative Models for Optimal Seismic Design, June 1978.

Pariente, Silvia – Mathematical Programming Approaches to Modeling Technological Change, with Applications to the Energy Sector, June 1978.

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Eriksen, Steven E. – Policy Oriented Multi-Equation Models of U.S. Domestic Air Passenger Markets, September 1977.

Bitran, Gabriel R. – Admissible Points and Vector Optimization: A Unified Approach, February 1975.

Cretin, Shan A. – A Model of the Risk of Death from Myocardial Infarction, February 1975.

Mirchandani, Pitu B. – Analysis of Stochastic Networks in Emergency Service Systems, February 1975.

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Hanley, Zebulon James Delay Characterization and Prediction in Major U.S. Airline Networks, June 2015.

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Lepird, John R. Multi-Objective Optimization of Next-Generation Aircraft Collision Avoidance Software, June 2015.

Rhee, Donguk Faster Fully Polynomial Approximation Schemes for Knapsack Problems, June 2015.

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Sheth, Mallory Predicting Mortality for Patients in Critical Care: a Univariate Flagging Approach, June 2015.

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Kim, Louis Y. Estimating Network Structure and Propagation Dynamics for an Infectious Disease: Towards Eective Vaccine Allocation, June 2014.

Paynter, Jonathan L. Optimized Border Interdiction, June 2014.

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Bunting, Zachary S. Improving Performance through Topology Management and Wireless Scheduling in Military Multi-hop Radio Networks, June 2013.

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Kessler, John M United States Air Force Fighter Jet Maintenance Models: Eectiveness of Index Policies, June 2013.

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Howard, Nicholas J. Finding Optimal Strategies for Influencing Social Networks in Two Player Games, June 2011.

Boyer, Christopher A. Statistical Methods for Forecasting and Estimating Passenger Willingness-to-Pay in Airline Revenue Management, June 2010.

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Diwan, Sarvee Performance of Dynamic Programming Methods in Airline Revenue Management, June 2010.

Frumin, Michael S Automatic Data for Applied Railway Management: Passenger Demand, Service Quality Measurement, and Tactical Planning on the London Overground Network, June 2010.

Gupta, Shubham Transient Analysis of D(t)/M(t)/1 Queuing System with Applications to Computing Airport Delays, June 2010.

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Hung, Benjamin W. K. Optimization-Based Selection of Influential Agents in a Rural Afghan Social Network, June 2010.

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Shenk, Kimberly N. Patterns of Heart Attacks, June 2010.

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Yang, Lang Modeling Preferences for Innovative Modes and Services: A Case Study in Lisbon, June 2010.

Marks, Christopher E. – Optimization-Based Routing and Scheduling of IED-Detection Assets in Contemporary Military Operations, June 2009.

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Chandler, Lincoln J . – A Decision Analytic Approach to Web-Based Clinician Training, February 2005.

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Jeffreys, Christopher G. – Support Vector Machine and Parametric Wavelet-Based Texture Classification of Stem Cell Images, June 2004.

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Timmers, Kendell M. – Learning Together Better: The Structured Design of Learning Teams, June 2004.

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Seyhan, Murat Private Risk and an Example From the Pharmaceutical Industry, February 2003.

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Nielsen, Christopher A. Large-Scale Network Design using Composite Variables:An Application to Air Mobility Command’s 30-day Channel Route Network, June 2002.

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Achy-Brou, Aristide C.E. A New Approach to Multistage Serial Inventory Systems, February 2001.

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Jang, Young Jae Multiple Part Type Decompostion Method in Manufacturing Processing Line, June, 2001.

Moffitt II, Jeffrey D. Applying the Metrics Thermostat to Naval Acquisitions for Improving the Total Ownership Cost-Effectiveness of News Sytems, June, 2001.

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Cervantes, Jose A. Effective Modeling of Throughput in Semiconductor Assembly Processes, February 1998.

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Sylla, Abdoul K. Portfolio Optimization Using Non-Gaussian Return Distributions, June 1996.

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Stamatopoulos, Miltiadis A. A Factory Representation as a Design Tool in a Computer Integrated Manufacturing Environment, June 1994.

Voigtlaender, Christian H. Intermodal Freight Transportation – An Integrated Analysis of Strategy and Operations, June 1994.

Zilberman, Yaron The Asset Allocator, February 1994.

Burman, Mitchell H. A Real-Time Dispatch Policy for a System Subject to Sequence-Dependent, Random Setup Times, February 1993.

Duarte, Maria Cristina Multiple Product Cycle Time Minimization for Serial Placement Machines, September 1993.

Goranson, Jesse Looking for Trouble: How Well the FAA’s Enhanced Traffic Management System Predicts Aircraft Congestion, September 1993.

Jeancard, Henri-Pierre Forecasting Capabilities and Model Diagnostics for Auto-Regressive Conditionally Heteroskedastic Time Series, February 1993.

López-Arteaga, Alfonso J. The Dynamic Traffic Assignment Problem in Intelligent Vehicle – Highway Systems, February 1993.

Malone, Kerry M. Modeling a Network of Queues Under Nonstationary and Stochastic Conditions, February 1993.

Mueller, Alexander T. Optimizing Advertisement Selections and Scheduling, February 1993.

Pinker, Edieal J. Computational Experience with a New Workforce-Workflow Scheduling Model, February 1993.

Rajan, Kavitha Analysis Of Heuristics For The Hierarchical Network Design Problem, June 1993.

Shumsky, Robert A. The Response of the U.S. Air Carriers to the DOT’s On-Time Disclosure Rule, June 1993.

Theodosopoulos, Theodore V. Worst-Case Identification in l1: Algorithms and Complexity, February 1993.

Thomke, Stefan H. Multivariate Quality Control of Flexible Manufacturing Processes, February 1993.

Vanderbeck, Francois A Decomposition Approach for Parallel Machine Assignment and Setup Minimization in Electronics Assembly, February 1993.

Vettas, Lt. Peter C. Cost and Productibility Optimization of Naval Ship Midship Section, June 1993.

Zaman, Zia A Scheduling Package Based on the QIE, February 1993.

Connolly, Stephanie A Real-Time Policy for Performing Setup Changes in a Manufacturing System, June 1992.

Elsesser, Kim The Validation of a Simulation Model for the Allocation of Mental Health Services February 1992.

Hsu, Lina Y. The Design of an Assembly Line with Stochastic Task Times, June 1992.

Longtin, Mark Sequential Screening in Semiconductor Manufacturing: Exploiting Spatial Dependence, June 1992.

Misra, Dipanwita (Diane) Compression and Retrieval of Network Routing Solutions, June 1992.

Park, Jai-Kue Consumer Choice Modeling in the Presence of Brand Extension, September 1992.

Ricard, Michael A Decomposition Approach to Zero-One Integer Programming, February 1992.

Robinson, Jonathan D. A Simulation Testbed for Flow Management in Air Traffic Control, September 1992.

Stanley, Timothy D. The Economic Status of American Causalities of the Vietnam War, June 1992.

Vives, Guillaume-Yves Real-Time Scheduling of an Assembly Stage in a Production Line, February 1992.

Vyas, Mary Pressley Specification of Gaussian Process Models for Asset Returns with Asynchronous or Missing Data, June 1992.

Anderson, Susan M. L. On Queue Audience: Calculating Reach and Frequency for Supermarket Television, June 1991.

Baldi, Martha A. An Analysis of Quality Control Policies on a Two-Station M/M/1 Production System, June 1991.

Bucciarelli, Mark Cluster Sampling Methods for Monitoring Route-Level Transit Ridership, September 1991.

Chen, Meng-Huai How Much Cash Should A Bank Maintain? – An Optimization Approach, September 1991.

Chi, Zhihang An Adaptive Final Approach Spacing Advisory System: Modeling, Analysis and Simulation, June 1991.

Ingolfsson, Armann Run by Run Process Control, September 1991.

Miller, Jennifer A. Spatial Interpretation and Statistical Modeling of Boston High School Dropouts, June 1991.

Milner, Joseph M. The Assembly Sequence Selection Problem: An Application of Simulated Annealing, June 1991.

Savari, Serap Source Coding for Channels with Finite-State Letter Costs, September 1991.

Schenler, Warren Robustness Under Uncertainty: A Normative Reduction of Multi-Future, Multi-Attribute Tradeoffs in Electric Utility Planning, February 1991.

Svrcek, Tom Modeling Airline Group Passenger Demand for Revenue Optimization, June 1991

Vranas, Peter B. Merchant Fleet Size versus External Trade and Other Relevant Variables: A Statistical Investigation, June 1991.

Yoshimura, Junichi Improved Service and Maintenance Through Accident Sequence Precursor Risk Analysis, June 1991.

Abundo, Stephanie F. An Approach for Estimating Delays at a Busy Airport, June 1990.

Chervi, Philippe A Computational Approach to Probabilistic Vehicle Routing Problems, February 1990.

Generazio, Hoa Analysis of First-Term Attrition of Non-Prior Service High-Quality U.S. Army Male Recruits, February 1990.

Horangic, Basil R. Some Queueing Models of Airport Delays, February 1990.

Jacobe de Haut de Sigy, Romuald Loading Control Policy for a Batch Machine, February 1990.

Kierszenbaum, Michael The Impact of Inspection Delays on Quality Contro,l June 1990.

Kurebayashi, Atsushi Comparison of Flow Shop Sequencing Models and Methods, June 1990.

Lemire, Linda Jill Due-Date Setting and Pricing in a M/M/1 First-Come First-Served Queue, June 1990.

Ramakrishnan, V. S. A LaGrange Multiplier Method for Solving Multi-Objective Linear Programs, September 1990.

Vieira, Luiz F. M. Computational Tests of Interior Point Algorithms for Linear Programming, June 1990.

Alston, Andrew – An Integrated System for Tracking of Landmarks on Video Data: TOMAS the Torsional Ocular Movement Analysis System, June 1989

Amblard, Guillaume P. – Rationale for the Use of Subassemblies in Production Systems: A Comparative Look at Sequential and Arborescent Systems, June 1989

Ballman, Karla V. – Screening U.S. Donated Blood for HIV, February 1989

Bespolka, Carl G. – A Framework for Multiple Attribute Evaluation in Electric Utility Planning, June 1989

Caulkins, Jonathan – Inventory And The Strategic Value of Product-Flexible Manufacturing Systems, February 1989

Dickey, Lynn – Where Should Safety Stock Be Held to Minimize Costs and Maximize Flexibility, June 1989

Fouska, Nikoletta – Optimal Location of Discretional Service Facilities on a Network, June 1989

Fujiwara, Tsuneo – Solving the Schedule Transition Problems Using Optimization Techniques, June 1989

Ingco, Divinagracia I. – Network Design Problems for Improving Facility Locations, June 1989

Lin Carrie – Analysis of Open Loop Manufacturing Systems, February 1989

Pappu, Suguna – A Dual-Ascent Algorithm for Finding an Assembly Test Strategy, September 1989

Schreibman, Ruth – Structural-Equation Modeling of the Sources of Market Pioneer Advantages: an Empirical Analysis of the Consumer Goods Industry, June 1989

Valdivieso, Teresa – Discrete Choice Analysis of Demand for Optional Telephone Calling Features, February 1989

Venkatakrishnan, C.S. – Sentencing Changes and Prison Population: The Transient Effects, February 1989

Badekas, Paris – Mathematical Modeling of En route of ATC Intervention Rates, June 1988

Berger, llana – Shipping Strategies in Multi modal Networks Exhibiting Economies, June 1988

Loiederman, Eric – A Planning Tool for Predicting En Route ATC Conflicts and Designing ATC Sectors, September 1988

Louvet-Boutant, Anne-Claire – The Bounded Rationality Constraint: Experimental and Analytical Results, June 1988

Mihara, Shoichiro – A Tactical Model for a Job Shop with Unreliable Work Stations and Capacity Constraints, February 1988

Polychronopoulos, George – Solution of Some Problems in Decentralized Detection by a Large Number of Sensors, June 1988

Sabanogulu Kohen, Jinet – The Economics of Product Design: A Model and An Application, June 1988

Saias, Isaac I. – Study of Probabilistic Noise in One Dimensional Images, June 1988

Srinivasan, K.V. (Cheena) – Effect of Consumer Categorization Behavior on New Product Sales Forecasting, June 1988

Sy-Quia, lll, Gonzalo – A Study of Production Loading in a Job Shop, September 1988

Aslidis, Anastasios Haralampos – Management of Technological Change in the Shipbuilding Industry: A Learning Curve Approach, June 1987

Bertsimas, Dimitris – An Analytic Approach to a General Class of G/G/s Queuing Systems, February, 1987

Chan, Ga-Yin (Leo) – INGRID: An Interactive Color Graphics Interface for Dispatch of Emergency Vehicles, June 1987

Emami, Kayvan – An Investigation of Time Dependent Queues with Priorities, September 1987

Emami, Neda – Analysis of Duality Constructions for Variable Dimension Fixed Point Algorithms, September 1987

Higgins, Mary-Kay – Airline Safety: A Comparative Analysis, February 1987

Lee, Anthony – Nested Decomposition Methods for Vehicle Routing and Scheduling, June 1987

Parrish, Scott H. – Extensions to a Model for Tactical Planning in a job Shop Environment, June 1987

Redfield, Carol Holmes – Equipment Selection and Task Assignment for Multi product Assembly System Design, February, 1987

Shell, Martin C. – Decision Horizons in Multi-Stage Optimization Models: An Analysis of Methods for the Minimization of End-of-Horizon Errors, February, 1987

Berman, Douglas – The Manned Space Station Power System: An Operational Scheduler, September 1986

Calamaro, Jean-Paul – Implementation of a Multistage Production Planning Systems, February 1986

Cheatham, John – Analyzing Service Industries with Applied Quantitative Methods, June 1986

Eckstein, Jonathan – Routing Methods for Twin-Trailer Trucks, June 1986

Huelskamp, Robert M. – Aiding USAF/UPT Aircrew Scheduling Using Network flow Models, June 1986

Kee, Jacqueline – Dispatch Strategies for Some Unusual Bulk Service Queues, June 1986

Marge, Charles – Explaining Optimal Solutions to Assignment and Transportation Problems, June 1986

Newton, Elizabeth A.C. – A Clustering Method for Group Viral Samples Based on Antibody Binding Activity, June 1986

Parekh, Abhay K.J. – Minimizing the Number of Clusters in Mobile Packet Radio Networks, February 1986

Schiodtz, Paul G. – Competitive Price, Position, and Advertising Strategies, June 1986

Wagner, Janet M. – Reliability of Water Distribution Systems, February 1986

Wan, Deborah – Locating New Facilities on a Multi activity, Multi-level Network, June 1986

Chapman, Paul T. – Optimal Production Capacity in a Two Stage Subject to Production Failure, February 1985

Cox, Jr. Louis A. – Risk Attribution in the Presence of Joint Causes, February, 1985

Hiller, Randall – Computer-Aided Planning: A Decision Support Concept for the Corporate Planning Domain, June 1985

Ho, Ping – The Application of the Cross Impact Analysis to Technological Change, September 1985

Lee, I-Jen – Stationary Markovian Queuing Systems: An Approximation for the Transient Expected Queue Length, June 1985

Richetta, Romano – Color Graphics for Interactive Optimization of the Hypercube Queuing Model, June 1985

Arcila Agudelo, Adriana – A Model to Provide Transportation Services for the Elderly and Handicapped, June 1984

Chen, Gloria Hiu-Lai – Information Theoretic Models of Preprocessors and Decision Aids, June 1984

Leong, Poh Leng – Multi attribute Queuing Theory, June 1984

Singhal, Vijay M. – Point-to-Point Package Delivery Systems, September 1984

Smith, Brian – Coordinated Air Defense, June 1984

Brewster, Silvano – Optimal Regulators Designed for Implementation on Computationally Limited Computers, February 1983

Magonet-Neray, Robin C. – Optimal Ship Positions for Naval Battle Group Defense Problems, September 1983

Puente-Angulo, Carlos E. – A Comparison of Linear and Nonlinear Random Field Estimators, June 1983

Roege, William – Pilot Scheduling in a Fighter Squadron, February 1983

Tsai, Christopher L. – Procurement Planning for Reusable Inventory Systems, September 1983

Bardenstein, Ruth – Optimization of Water Resource Projects with Renewable Resources and Multiple Energy Production: The Mediterranean Sea Project to Produce Hydroelectric and Soar Power, June 1982

Josa, Charles – An Heuristic Decision Procedure for a Precedence Constrained Single-Depot Vehicle Routing Problem, February 1982

O’Rourke, Paul F. – A Physically A Based Model of the Space conditioning Load Under Spot, February, 1982

Richardson, James – Regulating Automobile Insurance Residual Markets: A Policy for Controlling the Size of the Pool in Selected Risk Classes, June 1982

Schaack, Christian – Using the Kth Nearest Neighbor Clustering Procedure to Determine the Number of Subpopulations, June 1982

Ser, Shu – Analysis of Automatic Vehicle Location Systems Operating in Systems, June 1982

Guillamon-Duch, Higinio – The Economics of Low Temperature, Liquid-Dominated Hydrothermal Resources, February 1981

Morgan, Kelly B. – The Incorporation of Uncertainty in the Air Pollution Regulation Process, September 1981

Quek, Ser Aik – Diagnostics for Econometric Models, September 1981

Stabile, Debra – The Design of Information Structures: Basic Allocation Strategies for Organization, September 1981

Bendixen, Lisa – Probability Assessment: Issues of Implementation, September 1980

Brown, Richard – A Method for Sensitivity Analysis of L.P. Decomposition Equilibrium, with Application to the Copper Industry, February 1980

Habib, Frances – Investigating Convergence of a Capacity Planning Model Using Generalized Bender’s Decomposition, September 1980

Hook, Jack – Market Impacts of Price Regulation in Automobile Insurance, February 1980

Lamar, Bruce W. – Optimal Machine Selection and Task Assignment in An Assembly System Design Problem, September 1980

Oum, Jai Y. – Harmonic Transformations and Gradient Curves, September 1980

Perakis, Anastassions N. – A New Probabilistic Detection Model for Phase Random Ocean Acoustic Fluctuations and its Comparison with Data, February 1980

Shavel, Ira H. – A Dynamic Optimization Model for Studying the Transition from Depletable Resources to New Technologies, September 1979

Brandeau, Margaret L. – Decision Strategies for Interline Subway Control Systems, February 1978

Cozzi, Claudio – Simple Models for a Single Route Public Transportation System, June 1978

Golush, William G. – Probabilistic Models for Optimal Seismic Design, February 1978

Sadiq, Ghazala – Multifleet Routing Problems February 1978

Chen, Royee C. – Nuclear Reactor Rescheduling Study, February 1977

Sultan, Fareena – A Simulation Model of Population and Agricultural Growth in a Developing Country: A Case Study of Pakistan, June 1977

Tan, Chang-Bin – Port Capacity Modeling of GERT and Queuing Network Approaches, June 1977

Weilmuenster, David P. – Performance Characteristics of Signpost Automatic Vehicle Locating Systems, September 1977

Wexler, Jonathan W. – A Methodology for Configuring Distributed Real-Time microcomputer Systems, with Applications to Inertial Navigational Systems, June 1977

Aashtiani, Hedayat Z. – Solving Large Scale Network Optimization Problems by the Out-of-Kilter Method, February 1976

Assad, Arjang A. – Solution Techniques for the Muti-commodity Flow Problems, June 1976

Bloom, Jeremy A. – A Mathematical Model of Fuel Distribution in New England, February 1976

Dersin, Pierre L. – Sensitivity Analysis of Optimal Static Traffic Assignments in a Large Freeway Corridor, Using Modern Control Theory, September 1976

Franck, Evelyn A. – Implementing Closest Vehicle Dispatching Strategy on the Hypercube Model, February 1976

Laurent, Gilles – A Dynamic Analysis of the Housing Market in Paris, June 1976

Lim, Joseph A. Y. – The Effects of Socio-Eco-Demographic Factors and Family Planning Programs on Fertility, February 1976

Matsushita, Masaki – An Application of Benders Decomposition to Steel Production, February 1976

Talafuse, David W. – Blood Donor Attitudes and Decisions: An Exploratory Analysis, September 1976

Baldini, Vittorio A. – Operations Research Problem in the Motion Picture Industry, February 1975

Bitran, Gabriel R. – Duality and Sensitivity Analysis for Fractional Programs, June 1974

Facet, Tomas B. – Role of Partial Gradient Estimation by Simulation in Water Resource Plan Formulation, February 1975

Johns, Joseph H. – Intelligent Computer-Aided Dispatching for Urban Police Patrol Units, September 1975

Oswald, Louis J. – Preemption – A Visible Strategy?, September 1975

Asser, Sylvain E. T. – An Algorithm to Solve the Nth Shortest Path Problem, February 1974

Bodily, Samuel E. – The Utilization of Frozen Red Cells in Blood Banking System: A Decision Theoretic Approach, June 1974

Brinati, Marco A. – Analysis of the Queuing Process at an Offshore Export Terminal for Dry Bulk Cargo, September 1974

Carlton, Dennis W. – Modeling the Effects of the Housing Allowance Program, September 1974

DeChatillon, Renaud A. – Energy Use in the Steel Industry, June 1974

Emami, Kayvan – An Investigation of Time Dependent Queues with Priorities, September 1974

Falk, Patrick G. – An Optimal Replacement and Maintenance Strategy for Aircraft, June 1974

Finet, Jean-Marc P. L. – The Calibration of Nonlinear Models, June 1974

Golden, Bruce – A Minimum-Cost Multicommodity Network Flow Problem Concerning Imports and Exports, February 1974

Grimm, Ernst -A Study of the Effect of Advertising on Sales, September 1974

Ulrich, Lionel Y. – Heuristic Algorithms for Solving a Large Scale Multicommodity Flow Problem on a Network with a Step Function Cost, June 1974

Cruz-Bracho, Pedro Elias – A Preliminary Simulation Model of Factors Affecting the Nutritional and Health Status of Children in Low-Income Families, September 1973

Layrisse, Francisco Jose – Applications of Control Theory to Socioeconomic Systems, February 1973

Lingley, Gordon Steward – Analysis of Interoceanic Canal Alternatives: A System Approach to Decision Making, February 1973

Ovi, Alessandro – Decision Analysis Applied to Nuclear vs. Fossil Alternatives for Electric Energy Production, February 1973

Bell, David Edwin – A Utility Theory Approach to Preferences for Money Over Time, June 1972

Calvo, Alberto Bruno – Location of Health Services Facilities: A Mathematical Programming Approach, February 1972

Campbell, Gregory Lewis – A Spatially Distributed Queuing Model for Police Patrol Sector Design, June 1972

Gelerman, Walter – Airline Competitive Games and Airport Utilization, June 1972

Haan, Anders Henrik – A Screening Model for Water Resource Development: Stochastic Considerations, February 1972

Honda, William Fumio – Probabilistic Comparison of Automobile Insurance Rating Schemes, September 1972

Horgan, Dennis Neville, Jr. – A Decision Analysis of Sewage Sludge Disposal Alternatives for Boston Harbor, September 1972

Huang, Alexander Kuang Yu – A Market Response Model for New Consumer Durables, June 1972

Weymuller, Stanislas Bruno – Duality Theory and Economic Analysis, June 1972

Carlson, William Edwin – Scheduling Vehicles on Grid Networks of Automated Guideways, June 1971

Crousillat-Velasco, Cesar Oreste – Design Considerations for Airport Landing Systems, June 1971

Kanal, Prakash Mulchand – A Mathematical Model for a Cash Collection System, June 1971

Ketchledge, Bruce Arthur – Optimal Bounded Control of Stochastic Production/Inventory Systems, September 1971

Rosenfield, Donald Barry – Effects of Refractoriness in Hearing Models, February 1971

Shapiro, Roy David – Interlaced Scheduling of Transmit-Receive Pulses, February 1971

Ting, Harold Montford – Aggregation of Attributes for Multi attributed Utility Assessment, June 1971

Howard, Daniel Dale – Dynamic Location-Allocation Analysis, September 1970

McDonald, Jarl W. – The Effects of Free Capacity Transportation Networks on the Distribution of Travel Time and Traffic: A Computer Simulation, June 1970

Robinson, William Owen – Multivariate Probability Assessment, September 1970

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Management Dissertation Topics: 30+ Ideas To Get You Started

by Antony W

July 11, 2022

Every Ph.D. student taking a management course wants to write the best dissertation in the subject, but only few ever manage to complete the project on time. For many students, the most difficult part of the process is choosing the best management dissertation topics.

Fortunately, there are topic ideas that you can either explore or use as inspiration. In this guide, we give you 40+ suggestions from which you can single out a topic to cover in your dissertation assignment.

The most important thing to keep in mind when going through this list is to single out a topic you believe is relevant, interesting, and current in management. Notably, once you single out a topic that falls into these three criteria, you’ll have a solid foundation for your research.

30+ Management Dissertation Topics

The following is a list of management dissertation topics based on the different areas of management:

1. Organizational Behavior Dissertation Topics

The significance of people management, work-life balance, and retention methods in the hotel business.
A case study of RBS’s organizational tactics for increasing competitive strategy in the UK market.
How can businesses encourage ethical and corporate citizenship behaviors?
How can Sainsbury’s compete successfully with Tesco in its product portfolio’s food and non-food categories?
How might big data’s present evolution be used to influence organizational behavior in the retail sector?
How have recent technological improvements changed organizational behavior in the banking industry?
The global financial services industry: assessing the organizational reforms necessary to increase profitability.
What organizational elements influence favorable organizational reviews in the retail sector?
Can Tesco build on the success of its Fresh & Easy brand in the United States?
How can easyJet retain its profitability and market dominance in the low-cost airline industry?

Also Read: Economics Dissertation Topics

2. Management Information Systems Dissertation Topics

Evaluating the Information System management approach and its relevance in improving business operations.
How can businesses leverage management information systems to gain a competitive advantage in its reward card offering?
What are the most important prerequisites for creating a commercially advantageous management information system?
Evaluating the ramifications of social media use in online travel information search.
How does the installation of management information systems fit into the firm’s resource-based perspective?
The use of management information systems in optimizing Rentokil Initial’s operations.
How does British Airways’ usage of management information systems compare to competitors?
Management information systems may be most effectively used in which organizational activities and systems by financial services firms?
How can RBS utilize management information systems to better manage the integration of ABN Amro and expand its retail client base?
Using management information systems to boost customer relationships.
How can British Airways improve its use of management information systems to overcome organizational flaws?
The influence of organizational culture on management information system adoption.
How can Carphone Warehouse and Best Buy utilize management information systems to govern their joint venture and gain market dominance in Europe?

3. Leadership Dissertation Topics

How can Huawei Technologies’ management boost employee engagement as a motivator?
How can businesses handle leadership transitions while yet ensuring continual performance improvement? Morrison’s Case Study following Sir Ken Morrison’s retirement.
Organizational leadership theory and its application in organizational performance.
Do the leadership models used by organizations have an impact on their market performance?
How can leaders persuade employees to improve their organizational performance in order to achieve a competitive advantage in the market?
A thorough examination of transformative leadership approaches aimed at overcoming organizational issues.
Considering the prerequisites for the incoming UBS leadership in restoring the firm’s performance?
Evaluate Tesco’s US format leadership and those of its competitors in the US. A method of comparison.
An empirical research on how RBS and ABN Amro may capitalize on their present leadership?
How might leadership affect a company’s competitiveness in the twenty-first century? Rentokil Case Study
British Airways (BA) Case study on how to create future leaders in order to fulfill organizational goals and ensure long-term sustainability.

You May Also Like: Social Work Dissertation Topics

4. Knowledge Management Dissertation Topics

What are the primary advantages that knowledge management capacity may provide to organizations?
How does Sainsbury’s match Tesco’s knowledge management competency and develop its competence?
An assessment of how an organization may implement a knowledge management approach throughout its operations. Rentokil Case Study is an example of a case study.
An examination of Tesco’s knowledge management skills in comparison to its peer group.
A case study of British Airways demonstrates how organizations may learn from their missteps in resolving consumer complaints.
How will Sainsbury’s use the data gleaned from their Nectar rewards program?
Through knowledge management, organizations can maintain their performance in an age of technological innovation.
A case study of Huawei on the implementation of knowledge management in technology enterprises.
An investigation on the influence of knowledge management on business integration. A case study of the merging of ABN Amro and RBS.
A review of the primary areas in which the Barclays Group may use knowledge management.
The importance of managerial expertise in fostering organizational performance in the UK retail industry.
A study of how an organization might use knowledge management to become a market leader. Tesco as a Case Study
A comparison of British Airways’ and its peer group’s knowledge management capacity.
Challenges of building an organizational knowledge management framework in the context of organizational management.

5. Organizational Culture Dissertation Topics

How can Carphone Warehouse and Best Buy combine their organizational cultures while retaining the best of both?
A comparison between Tesco’s organizational culture with that of its competitors. (Sainsbury’s and Tesco’s)
Rentokil’s methods for developing a new organizational culture.
An assessment on how to manage organizational culture following a joint venture: Carphone Warehouse Best Buy is a case study.
Conflicts originating from differences between Carphone Warehouse and Best Buy’s organizational cultures?
The link between new management and organizational cultural transformation. Rentokil is a case study.
Organizational culture has an impact on the leadership techniques used in organizational management.
Evaluating the changes in Northern Rock’s corporate culture in reaction to the firm’s share price swings.
The effect of organizational culture on Tesco-UK performance.
Which components of ABN Amro’s culture should be preserved and incorporated into the RBS organizational culture?
An inquiry of how organizations may use organizational culture to their advantage: (Case Study: Tesco)
How can Sainsbury’s create an organizational culture that rivals Tesco’s?
A method for developing a strong organizational culture in organizations. (A Sainsbury’s case study)
The impact of organizational culture on the new management team’s implementation. (Rentokil).

Also Check: Engineering Dissertation Topics

About the author

Antony W is a professional writer and coach at Help for Assessment. He spends countless hours every day researching and writing great content filled with expert advice on how to write engaging essays, research papers, and assignments.

Choosing an operations management dissertation topic

Academic research plays a crucial part in your final score as a student. However, you should also consider it an opportunity to add value to the world of knowledge through your research findings. With a well-researched operations management dissertation, you could become a reference for future students and have a respected name in this area of study. Therefore, make the most of the opportunity.

Professional dissertation writers draw their motivation from the sense of fulfillment that comes with a completed research paper of high quality. Having this outlook could be your first step to an exciting operations management dissertation writing process.

Pitfalls to Avoid

Understanding the gravity of this part of your course, you need to be wary of the potential risks you may encounter in choosing the ideal topic in operations management. Some of them are:

A wide scope- The fact that operations management is multidisciplinary in nature, you need to ensure that you focus only on one specific area, such as Total Quality Management. Otherwise the research will not be achievable.
An overly narrow span- As you look at the possible areas you can focus on in your operations management dissertation, you still need to consider all that the area of study covers. For example, operations management also involves strategic planning. Ignoring it could make you miss a potential dissertation topic.
Lack of precision – Even after you decide on the specific aspect of operations management, avoid being overambitious. For example, if you opt to research on the JIT Manufacturing (JIT), settle on only one variable that it directly affects, such as customer satisfaction, instead of two or more.

Your Opportunities

As you go about choosing an appropriate operations management dissertation topic, the following are viable suggestions that coursework writers propose for your inspiration:

Academic journals- Some of the latest findings on operations management in journals can guide you to select a viable topic. For example, behavior in operations management has attracted attention recently.
Prior dissertations- You can go through the dissertations done over the past two years which capture your attention. Read through the writers’ recommendations for future research for viable topic ideas.
Your environment- Look around you with the eyes of an operation manager and see the needs in your surroundings. For example, you could choose a topic on technology and its impact on operations management.
Dissertation defense- Each person writing a dissertation is required to defend his or her proposal and research. Grab the opportunity to pick out interesting ideas during the next defense session for operations management students ahead of you.

With these tips, you are sure to get a good topic for your dissertation paper, one that you will be proud of and will be happy to work on!

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90 Operations Management Topics

Operations management orchestrates all the processes to produce goods and deliver services efficiently. On this page, we suggest operations management research topics for you to explore the multifaceted dimensions of this field. Go through these operations management topics to discover the role of operations management in organizational success.

🔀 TOP 7 Operations Management Topics

🏆 best operations management research topics, 👍 examples of topics in operations management, 🌶️ more operations management topics.

Starbucks Operations and Inventory Management
The Role of Technology in Operations Management
Air New Zealand Airline’s Operations Management
Samsung Group’s Supply Chain and Operation Management
Human Resource Strategy in Operations Management
Operations Management: Apple Case Study
Hard Rock Café’s Operations Management and Productivity
McDonald’s Operations: Self-Service Kiosk Case Study The self-service kiosks can be an outstanding solution in order to improve and enhance the operational flow of the McDonald’s restaurant in DC, Tenley town.
Operations Management: The Case of Concept Design Services Operations management is the approach to managing a range of resources that are used in order to manufacture certain products or propose specific services.
Operational Management: the Case of Apple, Inc. The development of a solid plan is possible after analyzing the operationalization management strategy of Apple and developing recommendations based on the operational theory.
Apple Inc.’s Strategic Operations Management Apple remains one of the most productive corporations in the world. This paper has analyzed the strategic factors that have enabled the American brand to succeed.
Linear Programming Operations Management Linear programming operations management is a mathematical strategy that is employed for arranging scarce or limited resources effectively while performing various tasks.
Kodak: Operations and Innovations Management This paper provides analysis of Kodak’s situation using the 3S model, application to Kodak, providing strategic analysis, systematic analysis, and situational analysis.
Toyota’s vs. Coca-Cola’s Operations Management The adoption of proper operations management is an important success factor for leading global companies, namely Coca-Cola and Toyota.
Nissan Motor Company: Operations Management To ensure financial stability and a strong position in the target market, recently, Nissan has decided to reorganize its operations strategy.
Samsung Electronics: Operations Management Performance Objectives In Samsung Electronics, it can be stated that one of the departments responsible for quality is Corporate Technology Office.
Total Energies: Operations Management The operations management report’s findings for Total Energies show that technology plays a vital role in enriching the goals and objectives of the company.
Heathrow Airport’s Service Operations Management The study evaluates service management at Heathrow airport and evaluates actions and measures that have been taken to improve the service quality at the airport.
Operations Management and Production System: Case of Olive Garden Restaurant The presented paper is devoted to the discussion of operations management and production system using the case of Olive Garden restaurant
Azure: Service Operations Management Overview The operation that Microsoft nurtures provides customers with numerous cloud services that are assembled under the name of Azure.
Hard Rock Café: Operations Management and Productivity This paper describes ten operations and performance management solutions at Hard Rock Café that help create the link between raw data processing and the final product.
Operations Management in Business Operations management is described as the organization of processes used to produce and distribute products and services. There are five main objectives of operations management.
General Motors Operation Analysis: Project Management Speaking of General Motors, the company’s operational objective is improving performance and the level of customers’ satisfaction.
Financial Operation Exposure Management Principles There are many principles that a company can implement to counter financial operation exposure. The definition of operating exposure affirms that it involves unexpected changes.
Operations Management of a Care Facility for the Elderly Any institution dealing with the provision of care to dependent elderly persons should ensure that its strategies are broad enough to cover the wide range of needs of the elderly.
Emergency Operations and Its Management This essay discusses emergency operations centers, and plans, preparing the populace, the press role, risk communication, and training and preparedness exercises.
McDonald Corporation: Operations Management and Productivity In all the restaurants under McDonald Corporation around the world, there are a number of operations that are related to the overall organizational strategy.
General Motors Company: Operations Management Concepts The present essay analyzes the current situation at General Motors and provides some recommendations for effective operations management.
Operations Management and Productivity Operation management aims at ensuring that functions in a business are conducted in the most efficient manner, so as the end results are satisfied customers and reduced cost of production.
Franklin Equipment Ltd Company’s Operations Management The purpose of this paper is to discuss the criteria used by FEL to assign members of the project team, the importance of international projects and possible ethical dilemmas.
Operations Management Trends and Future Operations management has evolved and changed over the years, affecting areas such as manufacturing and service.
Big Bone BBQ and Wicked Wings Restaurants’ Operations Management The current system of Big Bone BBQ is successful, but it does not realize its full potential due to a lack of automation that leads to imprecision and considerable wastage.
Airbus Company Systems and Operations Management In the context of the Airbus and its integration within business, systems and operations management is of significant importance in diverse ways.
Non-Alcoholic Beverage Industry’s Operation and Management The paper regards the non-alcoholic beverages sustainability in the context of company analysis. It discusses organizational hierarchy development and finance raising.
Local Food Venture and Its Operations Management Building a small business enterprise is a complex task. This case study examines a model of expanding a local food venture to a permanent location and franchise.
American Workplace and Operations Management The paper reviews “State of the American Workplace” analysis by Gallup and provides applications of operations management concepts to improving employee engagement.
Lenovo Group Ltd.’s Operations and Information Management The purpose of this paper is to provide an overview of operations and information management and related concepts.
WalMart Stores’ Operation Management Operation management is the process that transfers inputs such as raw materials and labor into output in the form of finished goods and services.
Production and Operations Management Depreciation of products means lower prices for goods produced in mainland China. Products with a lower price may increase exports from both Hong Kong and mainland China.
The Concept of Operations Management Operations management (OM) is defined as the design, operation, and improvement of the systems that create and deliver the firm’s primary products.
Narkee Ltd.’s People and Operations Management Two main challenges Narkee Ltd faces are people management and operations management, which the firm must fix to remain competitive.
Operations Management and Related Ethical Issues Ethics dictates how to conduct operations in a morally right or just way, as well as acknowledging the dignity of employees in a business.
Operations and Information Management: A Case Study of CC Music CC Music has accumulated market knowledge and expertise over the previous years, yet, the industry’s course over the past decade poses a significant obstacle.
Productivity in Operations Management It is certain that operations management is crucial for every business that strives for development. This field addresses an array of organizational processes.
Operational Management in Large Organizations Using the example of Zara and Kohl stores, the paper analyzes the most effective strategies that allowed companies to realize themselves as profitably as possible.
Aspects of Operations Management Operations management is a vast and encompassing term used to collectively describe all business activities, which drive its internal processes.
Operation Management and Value Chain in Healthcare One of the main challenges in healthcare is that service cost reduction should not affect health outcomes in patients.
Strategic Shipping Operations Management: Liquefied Natural Gas This research analyzes some commercial and technical strategies most beneficial to facilitate the transportation of LNG with specialized designed LNG tankers.
Operations Management Definition Operations management is an essential process that uses raw materials to turn them into goods and services. This phenomenon is connected with the supply chain.
Operations Management Research Operations management is connected directly to the value stream and is thus tasked to maximize its effectiveness and efficiency.
The Operations Process and Types of Training Management in the Army Training is a significant aspect of improving the skills of soldiers and preparing them for upcoming or potential operations.
Operations and Supply Chain Management The principal task of this essay is to explain what can happen if a project stage is not completed and if a stakeholder decides not to participate in the project implementation.
Innovation in Operation Management – Personal Experience To overcome the different challenges faced by companies, they must put in place some strategies like differentiating their products or services from those of the competition.
Operations Management: Ford vs. Firestone This paper is an analysis of Ford vs. Firestone case “Death on the Highway: Quality Problems at Ford and Firestone” to unearth the operations management crisis in the two companies.
Thai-Lay Fashion Company’s Operations Management The paper reviews operations management in business with reference to the Thai-Lay Fashion Company Ltd., which is situated in Hong Kong.
Operations Management in Thai-Lay Fashion Company Ltd. Thai-Lay is a textile manufacturing company in Hong Kong with its markets situated mainly in Europe. The company produces a wide range of ready-made garments for adults and children of both sexes.
Combat Stress and Operational Stress Management Combat and operational stress is emotional and physiological stress which is a direct result of dangers faced in combat or the mere tension of being in combat.
Introduction to Operations Management Course The “Introduction to management” course built a strong foundation of knowledge connected with the organization’s peculiarities, management strategies, and organization operations.
CB&I Firm’s Operations and Supply Chain Management CB&I is an American construction and building company that also supplies raw materials to various small and medium-sized firms.
Operations Management: Factors and Approaches Operations management is critical for any business because it can be used for effective work that ensures the possibility to meet the overall business objectives.
Transport Efficiency Through Operation Management Operations management is one of the management fields which are increasingly becoming relevant in the competitive business environment.
Online Grocery Business: Operations Management The project can have one and more critical paths. When a project has multiple critical paths, project risks increase according to the number of paths.
Project and Operation Management Essentials Operation management can be defined as a system of theories and strategies aimed at optimizing the processes occurring in the setting of entrepreneurship or aimed at completing a specific project.
Azzaz Shop’s Operations and Information Management Azzaz is a mobile phone and accessories retailer based in England, owned by Lewis. The business started with a single shop, which Lewis has grown into a chain of eleven.
Metrics and Performance Measurement in Operations Management Metrics is indeed a powerful management tool in aligning company strategies and objectives and ensuring people are working towards a common direction.
Nutmeg Enterprises’ Operations Management In the case study of Nutmeg Enterprises, the operational framework of the beverage manufacturer and distributor is provided.
Construction Company’s Operational Risk Management This work presents an operational risk assessment connected to standard masonry techniques and procedures in the development of five-story apartment blocks.
Lean Process and Operation Management The lean process applied along with the operations management is the popular paradigm that affects the functioning of companies and results in the rise of positive shifts in them.
Operations Management of Logistics and Supply Chain The effective operations management of logistics and supply chain can deliver various goals such as cost reduction, timely response, waste reduction, and improved profitability.
Launching an Airline: Operations and Management Launching an airline requires a deep understanding of the market forces. The industry has many challenges, from stiff competition, to fluctuating oil prices, and policies that may hurt profitability.
Oman Refinery Company’s Operations Management T report aims to analyse critically ORPIC’s existing operations management practices, focusing on such areas as HR, quality management, and supply chain.
Roche Company’s Operations Management This report examines three of Roche’s OM decision areas, compares and contrasts the organisation with another firm using the 4Vs of operations.
Worldwide Chemical Company’s Operations Management The current “fix it” approach maintained by the Worldwide Chemical Company is ultimately faulty. It leads to the decreased first-quality product yields and on-time deliveries.
Abasco, Inc. Manufacturing Process: Reducing Waste and Improving Quality Although Abasco, Inc. has been developing at a rather fast pace in the manufacturing department, it has been showing comparatively low performance rates since recently.
EBags Company: Operations Management Analysis EBags had big expectations for the opportunities that the European market supposedly had in store for the company since there was a niche that the entrepreneurship was going to fill.
The Oasis Company Operations Management The Oasis Company has been in business for quite a while (since the 1990s). The essential purpose of the organization under analysis concerns providing flowers.
Insights from Operations and Supply Chain Management Course The course serves as a real eye-opener in terms of what gravity the choice of the operation strategy and framework has on the overall efficacy of an organization.
Canbide Corporation Operations Management Tools This paper focuses on individual problems and potential solutions of Canbide Corporation with an emphasis on the need to have managers who are experienced to use analysis tools efficiently.

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Management Dissertation Topics Ideas and Examples

Table of Contents

The basic idea of Management dissertation topics for writing high-quality dissertation.

Believe me; I know you are at the end of your wits right now. Your final submission date for the dissertation is coming up, and you still don’t have the slightest idea of any management dissertation topics you could use or get ideas from. Welcome to the world of thousands of management students who face the same dilemma.

Choosing management dissertation topics is like choosing a career or a life partner. Sometimes you never know if you’ve made the right decision until it’s too late and sometimes you know you already know that you have made the best decision.

I’m here to help you choose dissertation topics in management that are going to instantly click in your mind.

Firstly, let me tell you what management in business is. It is a simple act of getting people together to achieve their desired goals. When choosing a topic divide the term “management” into its basic functions which are:

Planning : to decide what needs to happen in the future and generate a work plan for it.
Organizing: carrying out successful plans by using the given resources to the maximum.
Staffing: Recruiting and hiring people for appropriate jobs.
Leading: Exhibiting leadership in order for others to play their roles positively.
Monitoring: checking progress against plans.
Motivating: Process to stimulate someone in order to achieve his/her desired goals and targets.

Secondly, another secret to a successful dissertation is clearly defining the vision, mission, objectives, and strategies. Nothing impresses the dissertation advisor more than a well-specified mission and objectives to achieve that mission.

Strategic Management:

The role of strategic planning in organizational success.
Strategic decision-making processes in dynamic environments.
Competitive advantage and sustainable strategies.
Corporate diversification strategies: Case studies and analysis.
Strategic alliances and their impact on organizational performance.
More Strategic Management Dissertation Topics Ideas

Organizational Behavior:

Leadership styles and their effects on employee motivation.
Organizational culture and its influence on employee engagement.
Managing diversity in the workplace: Strategies and challenges.
Employee empowerment and its impact on organizational performance.
Organizational change management : Best practices and pitfalls.

Marketing Management:

Consumer behavior in the digital age: Trends and implications.
Brand management strategies for global markets.
Pricing strategies and their effects on consumer perception.
Integrated marketing communication: Effectiveness and challenges.
Market segmentation strategies for niche markets.
More Marketing Management Dissertation Topics Examples

Financial Management:

Financial risk management in multinational corporations.
Capital budgeting techniques: Comparative analysis and applications.
Corporate governance and financial performance.
Working capital management: Strategies for optimizing liquidity.
Financial derivatives and their role in hedging risk.
More Financial Management Dissertation Topics Ideas and examples

Human Resource Management:

Talent acquisition and retention strategies in competitive industries.
Performance appraisal systems: Effectiveness and employee satisfaction.
Employee training and development programs: Assessing impact on organizational performance.
Work-life balance initiatives: Implications for employee productivity and well-being.
Diversity management in multinational corporations: Policies and practices.
More HR dissertation topics

Operations Management:

Lean production techniques: Implementation challenges and benefits.
Supply chain management practices in the era of globalization.
Quality management systems: Continuous improvement and customer satisfaction.
Inventory management strategies: Just-in-time vs. traditional approaches.
Sustainable operations: Environmental implications and corporate responsibility.
More Operations Management Dissertation Topics

Entrepreneurship:

Start-up financing options: Venture capital vs. bootstrapping.
Entrepreneurial mindset and success factors.
Business model innovation : Disruptive technologies and market opportunities.
Entrepreneurial ecosystems: Case studies and best practices.
Social entrepreneurship: Balancing social impact and financial sustainability.

Project Management:

Agile project management methodologies: Implementation challenges and benefits.
Project risk management: Strategies for identifying and mitigating risks.
Stakeholder management in complex projects: Communication and engagement strategies.
Project scheduling techniques: Critical path method vs. Gantt charts.
Project management tools and software: Comparative analysis and recommendations.
More Project Management Dissertation Topics Ideas

Innovation Management:

Open innovation strategies: Collaborative approaches to innovation.
Intellectual property management: Protection and commercialization strategies.
Innovation ecosystems: Creating conducive environments for innovation.
Technology transfer and commercialization: Bridging the gap between research and market.
Innovation metrics: Evaluating the effectiveness of innovation initiatives.

International Business Management:

Cross-cultural management: Challenges and strategies for global teams.
International market entry strategies: Modes of entry and risk assessment.
Managing global supply chains: Logistics and coordination in diverse markets.
International business negotiation strategies: Cultural influences and bargaining tactics.
Foreign market analysis: Assessing opportunities and risks in emerging economies.
More International Business Dissertation Topics Ideas and Examples

Knowledge Management:

Knowledge sharing platforms: Enhancing collaboration and knowledge transfer.
Knowledge retention strategies in aging workforces.
Communities of practice: Facilitating knowledge sharing and learning.
Knowledge management systems: Implementation and adoption challenges.
Measuring the effectiveness of knowledge management initiatives.

Corporate Social Responsibility (CSR):

CSR reporting and disclosure: Transparency and accountability.
Stakeholder engagement in CSR initiatives: Building trust and credibility.
Environmental sustainability practices: Green initiatives and corporate impact.
Ethical leadership in CSR: Fostering a culture of social responsibility.
CSR and brand reputation: The link between social responsibility and consumer perceptions.

Supply Chain Management:

Supplier relationship management: Strategies for enhancing collaboration and performance.
Logistics outsourcing: Risks and benefits for supply chain efficiency.
Sustainability in supply chains: Environmental and social responsibility considerations.
Resilient supply chain strategies: Mitigating disruptions and building flexibility.
Blockchain technology in supply chain management: Applications and implications.
More Supply chain management Dissertation Topics

Management Information Systems (MIS):

Big data analytics: Leveraging data for strategic decision-making.
Cloud computing adoption in organizations: Benefits and challenges.
Cybersecurity management: Protecting information assets in the digital age.
Enterprise resource planning (ERP) systems: Implementation challenges and best practices.
Business intelligence tools: Enhancing data-driven decision-making processes.

Change Management:

Change readiness assessment: Evaluating organizational readiness for change initiatives.
Communication strategies in change management: Managing resistance and fostering buy-in.
Change leadership: The role of leaders in driving successful organizational change.
Employee involvement in change initiatives: Empowerment and participation strategies.
Change management methodologies: Comparing models such as Kotter’s 8-Step Process and Lewin’s Change Management Model.

General Management Dissertation Topics for Students

Dissertation topics in management encompass a diverse range of areas, such as strategic planning, organizational behavior, marketing strategies, and financial analysis, providing scholars with opportunities to delve into critical issues and propose innovative solutions to contemporary challenges in the corporate world.

Through rigorous research and analysis, these topics contribute to advancing knowledge and driving positive change within the dynamic landscape of business administration. The following business management dissertation topics will give you some ideas in order to alter the topic to your own preference.

The impact of artificial intelligence on management decision-making
The use of big data in supply chain management
The role of corporate social responsibility in business strategy
The impact of globalization on international management
The use of agile project management in software development
The role of emotional intelligence in leadership
The impact of digital transformation on organizational structure
The use of process management in service operations
The role of strategic management in the digital age
The impact of cultural diversity on team dynamics and performance
The use of scenario planning in strategic management
The role of innovation management in the development of new products and services
The impact of sustainability on business performance and competitiveness
The use of change management in organizational development
The role of stakeholder management in corporate governance
The impact of the gig economy on management practices and workforce strategies
The use of digital platforms in business model innovation
The role of human resource management in talent development and retention
The impact of the sharing economy on business models and strategies
The use of blockchain technology in supply chain management.
How can you achieve your goal by starting your own business? (any business you fancy).
How to plan for a successful business using the least resources? (Again any business you fancy but focus more on the service industry as they require less financial input).
Reasons for high turnover rate. How to plan ahead and motivate employees to avoid high turnover?
How far would good leadership and proper management lead your business to success?
Assessing risks when introducing a new project plan
Corporate social performance models.
How to successfully handle project complexity and performance?
How to plan ahead for bad times in your business?
Employee attitude, performance, and organizational structure.
On what basis do organizations compete? Analyzing differentiation in the U.K universities.
How can a small IT firm compete in a highly competitive environment and maintain its market share?
Outsourcing to the sub-continent: risks and benefits.
Analyzing the Trends of Public Administration and Management in Post-WWII Europe.
The Impact of Gender-comprehensive Gatekeeping and Predecessors’ Influence on the Success of Female CEOs.
Analyzing the Psychological Power of Leaders.
Examining the Diversity on Interaction Process and Performance management dissertation topics.
Analyzing the Impact of ‘Voice’ and ‘ Quietness ’ on Destructive Leadership.
Analyzing the Relationship between Productivity, Management Practices, and Employee Ability in the UK Setting.
Analyzing the Impact of International Differences in Gender Pay Gap.
The Impact of Psychosocial Risks on Workplace Risk management dissertation topics.
Role of Managers in Implementing Technological Change in an Organization.
Investigating the Managerial Concerns and Issues in Knowledge Management and Their Impact on Organizations

Note that some of these management dissertation topics like the first two are very vague. The reason I advised you on these topics is that you can change the topic according to your own choice. For more topics, contact me any time and I’ll gladly help you out in any way I can.

Finally, I hope some of your confusion regarding the management dissertation topic has been removed. These topics can be used as a basis for your own topic. Students like you are like matchsticks. They need a spark to ignite. For further inquiries , you can get in touch, and I just may be able to help you out with your dissertation problems.

39 Talent Management Dissertation Topics Examples
38 Strategic Management Dissertation Topics Ideas
39 Retail Management Dissertation Topics Ideas
37 Project Management Dissertation Topics Ideas

In conclusion, the myriad dissertation topics in management provide a fertile ground for scholars to explore and innovate, tackling pressing issues and shaping the future of business. By delving into these topics, researchers can contribute valuable insights and propel the field of management forward, addressing challenges and driving sustainable growth.

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Operations Management Dissertation Topics For Distinguished Dissertation

Date published July 27 2020 by Hector Shaw

Dissertation topics hold a lot of weightage in not only on your academic journey, but also your professional one. It can be the deciding factor when a company or organization reviews the work you did and then hire you on the basis of your expertise. This is the reason why you should pay the utmost attention to your dissertation topics and thrive to finalize the best one.

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Operations Management Dissertation Topics For An Exemplary Dissertation

To make sure that both, your academic and professional, journeys go as exceptional as possible, our team of senior industry leading professional writers have prepared a free list of the best operations management dissertation topics and operations management dissertation ideas, just for you.

The aim of this research is to provide a systematic review for testing practical applicability of theoretical concepts of operations management. In this context, the researcher is inclined to cover the automobile manufacturing companies specifically in USA.

Objectives:

The primary aim of this research study is to provide a systematic review for testing practical applicability of theoretical concepts of operations management. For the purpose of the study the researcher wants to the automobile manufacturing companies of USA. In this regard, the researcher is eager to test the practical applicability of theoretical concepts of operations management in USA based automobile manufacturing companies. Moreover, for the purpose of supporting the primary objective of the research, the study investigator formulated the secondary objectives, which are as following:

To comprehend the significance of operations management from theoretical perspectives.
To analyze the applicability of theoretical concepts of operations management in automobile manufacturing companies in USA.
To test practical applicability of theoretical concepts of operations management in automobile manufacturing companies in USA.
To identify the underlying factors affecting the practical applicability of operations management in automobile manufacturing companies in USA.
To provide adequate recommendations for effectively implementing the theoratical concepts of operations management in the automobile manufacturing companies in USA.

The purpose for carrying out this research is to conduct an analysis for determining the role of effective strategy implementations on an organization’s employee base. In this regard, the investigator of the study wants to cater the healthcare sector of US.

The primary aim of this research study is to perform an analysis for determining the role of effective strategy implementations on an organization’s employee base. For this, the researcher decided to cover the healthcare sector of US. For the purpose of supporting the key objectives, the researcher also designed the secondary objective by breaking down the primary objectives in different sub sections so that each section can be covered in an effective manner to produce appropriate results. Following are the secondary objectives:

To study the implications of strategy implementation from theoretical perspective.
To determine the role of effective strategy implementations on an organization’s employee base in the healthcare sector of US.
To analyze the impacts of the strategic implementation role on the healthcare employees in the US.
To rectify the potential factors which tends to influence the effective role of strategy implementations in the health care sector of US.
To deliver appropriate recommendations for effectively using strategy implementations on the employees of US health care organizations.

Recent studies have shown that performance management and company objectives play a vital role in the success of the organisation. However, there is a lack of studies which determines their relationship with each other for analysing the key factors which can impact the success of the firms. Therefore, the researcher wants to conduct the study in domain. The aim for conducting this research study is to carry out an analysis of the relationship between performance management and company objectives. Moreover, the researcher wants to perform this study in the context of human resource division of audit firms, particularly in the UK.

The researcher formulated following objectives for the of audit firms of UK:

To understand the concept of performance management from theoretical perspective.
To assess the performance management and company objectives of the UK based human resource division audit firms.
To analyse the relationship between performance management and company objectives in the human resource division audit firms of the UK.
To recognise the impacts of performance management and company objectives in the human resource division audit firms of the UK.
To find potential factors affecting the relationship between company objectives and performance management in the audit firms of the UK.

Researchers have defined Operations management as the business practices for creating highest efficiency level inside the organization, however, without effective employee management it is not possible to attain success in it. Therefore, the researcher determines to conduct a research in this domain. The aim of this research is to perform a correlative study for understanding the relationship between employee management and its impact on successful operations management. In this regard, the researcher has decided to cover the study in the context of Toyota company.

The primary objective of this research study is to perform a correlative study for understanding the relationship between employee management and its impact on successful operations management. For this study, the researcher has considered the case of Toyota company. The secondary objectives of the research are as follows:

To study the concept of employee management from theoretical perspective.
To evaluate the relationship between employee management and its impact on successful operations management of Toyota company.
To examine the impacts of operations management in the success of Toyota company.
To discover the underlying factors affecting the relationship between employee management and operations management of the organization.
To provide relevant recommendation on effectively using employee management practices for the success of operations management in Toyota company.

The key aim of this research study is to carry out a novel evaluation of company’s tradeoff between originality and standardization. For this study, the investigator of the study wants to cover the aspects of IT sector, particularly in the UK.

The primary objective of this research study is to carry out a novel evaluation of company’s tradeoff among originality and standardization. For this, the researcher considered the IT sector of the UK. In this regard, the researcher is inclined to assess the potential impacts of company’s tradeoff originality and standardization in the IT sector of the UK. In order to support the primary objectives of the research, the researcher designed the secondary objectives of the study so that accurate results can be gather for the evaluation of the study. Following are the secondary objective of the research:

To understand the importance of originality and standardization from theoretical perspective.
To evaluate company’s tradeoff between originality and standardization in the IT sector of the UK.
To assess the impact of tradeoff originality and standardization in the IT sector of the UK.
To examine the role of originality and standardization in the IT sector of the UK.
To rectify the risk factors involved in the tradeoff between originality and standardization in the IT sector of UK.

Studies have shown that operation management is the domain of management related to the designing and managing the production process of goods as well as services. Therefore, the researcher has decided to conduct a study for measuring the effectiveness of operations management. The aim of the study is to carry out a comparative evaluation of the effectiveness of operations management for products and services. In this regard, the researcher is determined to cater the service sector of UK.

The primary objective of this research study is to carry out a comparative evaluation of the effectiveness of operations management for products and services. For this, the investigator of the study considered the service sector of the UK. Following are the secondary objective of the study designed by the researcher:

To study the implications operation management from theoretical perspective.
To evaluate the effectiveness of operations management for products and services in the service sector of UK.
To assess the impacts of effective operations management for products and services in the service sector of UK.
To find the underlying factors affecting the effectiveness of operations management.
To develop a framework for the effectiveness of operations management for products and services in the service sector of UK.

Recent studies have shown that banking sector is operating in an extremely dynamic environment where they resources are less in number and the ratio of uncertainty is really high. Moreover, it is observed that current market tends to impose high standards of efficiencies and firms who are not practicing operations management in an effective manner are facing huge amount of business losses. Therefore, the researcher wants to examine the impact of operations management in the banking industry. The aim of researcher for accompanying the research is to conduct an analysis on the impact of operations management quality on provision of bank loans.

The primary objective of this research study is to conduct an analysis on the impact of operations management quality on provision of bank loans. Following are the secondary objective of the research:

To study the significance of operation management from theoretical perspective.
To analyze the impacts of operations management quality on the provision of bank loans.
To identify potential factors affecting the operations management quality on the provision of bank loans.
To build a framework for the mitigation of negative impacts of operations management quality on the provision of bank loans.
To provide relevant recommendations for effectively using operations management quality for the provisions of bank loans.

The studies have shown that the role of government subsidies is critical for the success of business in any country, as aids the business industry by paying some extent of consumer cost for the purchasing of goods or services. Therefore, the researcher decided to analyze the role that government subsidies play for enabling the reasonable prices for consumers. The main purpose of this research study is to perform an analysis of the role of government subsidies on the factors of production in ensuring fair prices for consumers.

The primary objective of this research study is to perform an analysis of the role of government subsidies on the factors of production in ensuring fair prices for consumers. In this regard, the researcher formulated secondary objectives for the study, which are as following:

To understand the importance of government subsidies from theoretical perspective.
To analyze the role of government subsidies on the factors of production in ensuring fair prices for consumers.
To assess the impacts of government subsidies on the production of fair prices for consumers.
To identify the underlying factors associated with government subsidies which influences the production of fair prices for consumers.
To provide a framework assessing the role of government subsidies on the production of fair prices for consumers.

Research Aims

The purpose of conducting the research is to critically examine the supply chain functions of operations management in service sector of UK. The study further enhances the role of supply chain function in the service sector of UK and enlightens what possesses the supply chain function of operations management in service sector of UK. The research is conducted to determine the positive and negative aspects of the supply chain functions of operations management in service sector of UK. It further illustrates the effective functioning of supply chain in managing the operations in service sector of UK.

Research Objectives

There are certain objectives that are formulated on the basis of the aims of the research. Though, the objectives of the research are as follows;

To develop knowledge and understanding on the supply chain functions of operations management.
To determine the significance of the supply chain functions of operations management in service sector of UK
To examine the supply chain function of operations management in service sector of UK
To rectify the factors affecting the supply chain functions of operations management in service sector of UK.
To offer effective and appropriate suggestions with regards to the improvement n the supply chain functions of operations management in service sector of UK.

The aim of the research is to investigate and provide systematic study on the identification of management and risk of disaster through operations management. The research further sheds light on the theories and frameworks that will help in providing support and evidence to the study. The research will demonstrate the effectiveness of identifying the risk of disaster through operations management initially which would help the organizations to progress efficiently. Thus, the research will shed light on the pros and cons of the identification of management and risk of disaster.

Although, there are certain objectives that are designed based upon the aims of the research. Thus, the objectives of the research are crafted as follows;

To understand what is the risk of disaster through operations management.
To determine the significance of the identification of management and risk of disaster within the organizations.
To examine the identification of management and risk of disaster through operations management.
To provide effective theories and literatures that lead towards the identification of management and risk of disaster through operations management.
To provide relevant suggestions in order to improve the identification of management and risk of disaster through operations management.

The main purpose of the research is to investigate the advantages that complex data and big data algorithms can provide to revolutionize operations management. The study further emphasizes on revolutionizing the operations along with developing keen knowledge with regards to complex data and big data algorithms. The research is likely to make use of theories and algorithms that can provide better understanding. Besides, the research will highlight the pros and cons of the complex data and big data algorithms related to revolutionizing operations management.

However, there are certain objectives that are designed keeping in consideration the aims of the research. Though, following are the objectives of the study that are formulated;

To develop understanding over the complex data and big data algorithms.
To determine what lead the complex data and big data algorithms to provide revolutionize operations management.
To identify the advantages that complex data and big data algorithms.
To examine the advantages that complex data and big data algorithms can provide to revolutionize operations management
To rectify the factors affecting the complex data and big data algorithms that could revolutionize the operations management.
To provide relevant and appropriate recommendations for maximizing the advantages of complex data and big data algorithm that can improve to revolutionize operations management.

The aim of the research is to analyze the different forecasting methodologies used in product operations management. The study is conducted to highlight the methodologies that are used in product operations management. Besides, the research sheds light on the products operations management and what tends it to be more effective. Furthermore, the research will determine the factors and impacts of several forecasting methodologies used in product operations management.

Although, there are several objectives that are formulated based upon the aims of the research. Though, the objectives of the research are crafted as follows;

To develop understanding and the significance of the forecasting methodologies that are used in product operations management.
To provide comparative analysis of the different forecasting methodologies used in product operations management
To determine the methodologies used in product operations management.
To identify the factors affecting several forecasting methodologies utilized in product operations management
To provide effective recommendations in order make efficient use of the forecasting methodologies in operations management.

The aim of the research is to investigate the current mediation models in operations management followed by companies. The study illustrates the importance of these mediation models. Further, it will shed light on what changes does these models developed by the incorporation of it in the operations management. The study highlights the critical factors that impacts upon the operation management.

There are several objectives that are crafted on the basis of the aims of the research. Though, the objectives of the research are designed as follows;

To identify the current mediation models in operations management followed by companies.
To analyze the current mediation models in operations management followed by companies
To determine what lead the companies to follow the current mediation models in operations management.
To determine the factors affecting the current mediation models in operations management followed by companies
To provide relevant suggestions in order to improve the productions of the companies by utilizing the current mediation models in operations management.

The purpose of the research is to examine the provisional strategies for management of quality failure in oil and gas operations management. The study is conducted to identify effective strategies that helps in the management of quality failure in oil and gas operations management. The research further sheds light on the how to manage the failure and how it may help in assuring quality. Therefore, it helps in understanding what tends towards the provisional strategies for management. It will determine the pros and cons of the provisional strategies for managing the quality failure in oil and gas operations management.

However, there are certain objectives that are designed keeping consideration the aims of the research. The objectives of the research are formulated as follows;

To understand the provisional strategies that could help in the management of quality failure in oil and gas operations management.
To determine quality assurance to analyze the failure in oil and gas operations management
To identify the factors affecting the provisional strategies for management of quality failure in oil and gas operations management.
To provide effective recommendations for maximizing the analyzation of the quality failure in oil and gas operations management.

The aim of the research is to examine the decision-making process of manufacturers and how does management decide whether to manufacture in house or outsource with regards to the textile industry. Furthermore, the research will develop knowledge on the difference of in house and outsource manufacturing. The research will further help in the identification of what is better either manufacturing in house or out sourcing. The study is likely to determine the effectiveness of manufacturing in house and what factors lead the management to choose what is better for manufacturing either in house or outsource.

Although, there are several objectives that are designed on the basis of the aims of the research. Though, the objectives of the research are formulated as follows;

To identify the decision-making process of manufacturers.
To rectify what lead the management to decide whether to manufacture products in house or out source in context to the textile industry.
To examine the decision-making process of manufacturers and how does management decide whether to manufacture in house or outsource with regards to the textile industry.
To determine the what is more suitable either manufacturing in house or outsourcing in context to textile industry.
To provide relevant suggestions on improving the decision-making process of manufacturers.

The aim of the research is to assess the practical efficacy of Resource Based Theory (RBT) in strategic operations management in UK manufacturing sector. The research sheds light on the strategic operations management and its effectiveness in the manufacturing sector. The research further highlights the pros and cons of the strategic operations management within the manufacturing sector in UK. Moreover, the study demonstrates the significance of Resource Based Theory (RBT) in strategic operations management n manufacturing sector in UK.

However, there are certain objectives that are designed keeping in consideration the aims of the research. Though the objectives of the study are crafted as follows;

To comprehend the notion of Resource Based Theory (RBT) in the paradigm of strategic operations management in UK.
To analyze the practical efficacy of Resource Based Theory (RBT) in strategic operations management in UK manufacturing sector.
To identify the factors affecting the practical efficacy of Resource Based Theory (RBT) in strategic operations management in UK.
To provide effective recommendations in order to enhance the practical efficacy of Resource Based Theory (RBT) in strategic operations management in UK.

The purpose of the research is to critically analyze the scope of operations management in the finance sector of healthcare systems of UK. The study helps in understanding the role of operations management in the finance sector of healthcare systems of UK. It further identifies the significances of the operations management in the finance sector of healthcare systems of UK and how these healthcare systems be effective for the organizations in future. The research intends to sheds light on the positive and negative impact of the operations management in the finance sector of healthcare systems of UK.

However, there are certain objectives that are illustrated on the basis of the aims of the research. Thus, the objectives of the study are formulated as follows;

To examine the scope of c
To identify the impact of operations management in the finance sector of healthcare systems of UK
To determine the factors affecting the scope of operations management in the finance sector of healthcare systems of UK.
To provide relevant recommendations in order to vast the scope of the operations management in the finance sector of healthcare systems of UK that will possess in better resulting.

Aims and Objectives: The main aim of this study is to first identify the tools that are used by the people in operation management activities. The aim would be to also identify the various models that are commonly used in the activities if operational management. The next aim of the study would be then to systematically compare the various tools and models and then carefully analyze them to understand just how much are the operational management activities are actually affected by the said models and tools that are used. The aim would be to understand just how much the said tools will affect the quality of the management done. Will the quality improve or will it decrease. The following are the main objectives of the research.

What are the main tools used in the various operational management activities?
What are the main models used in the various operational management activities?
How will each tool used affect the operational management activities?
What are the common aspects found in the tools and the models used and what will happen if they are not used in the operational management activities?

Aims and Objectives: The main aim of the study is to conduct an extensive study of the operational management activities to effectively understand and the and then analyze them to determine the effectiveness of the various strategies that are commonly used. The study will aim to first identify the main strategies that are used in the operational management activities, the study will then aim to understand after analyzing how will these operational management strategies can be implemented in the home care organizations on a global scale. The study will aim to first understand if the integration of the said operational management strategies will affect the home care organizations and if they will they will it be a positive or negative change. The study will be done form the perspective of the global home care organizations. Following are the main objectives of the study.

What are the main strategies for operations management activities?
Will the strategies if operations management be implemented in the home care organization?
How will the integration of operational management strategies be effective for the home care sector?

Aims and Objectives: The main aim of the study is to first identify and then analyze all the operational management practices that are used universally in the case of a crisis. The study would first identify various crisis management practices that are related to operational management. The study will then aim to first understand exactly how the said practices operate and help in the management activities. The study will first understand the various management activities and then analyze them for their effectiveness. The study will then carefully focus on understanding the advantage or disadvantage that the said practices would bring in managing the crisis situations. The main aim of the study would be in the end to explore the operational management practices and analyze them in a way to tackle the situation caused by the Corona virus. Following are the main objectives of the study are as follows.

What are the main operations management practice used in crisis management?
What is the advantage of using operations management activities in crisis managing?
How will the operations management activities be used in the Corona virus?

Aims and Objectives: The main aim of the research is gathering material that is related to the operational management. The first main aim of the study is the gathering and study of all the operational management practices that are used commonly throughout the world. In this study the first aim would be to then analyze each of the method that is used to conduct the research in the field of management research. The study will extensively conduct analysis on each of the method. The study will first aim to understand the use of each method such as for which purpose a particular method will be used. The study will then aim to understand and then explain what will be the advantages of the said research methods and how will these methods help in making the process of operations management easier. Following are the main objectives of the study.

What are the main operational management activities that are commonly used?
What are the main advantages of using specific strategies in operational management?
How does the use of specific strategies change the practice of operational management?

Aims and Objectives: The main aim of the study is to first find and then systematically understand the concept and the entire of supply chain. The study will first aim to understand the main principle and other practices that are part of the supply chain process and also the process of procurement in the supply chain process. The study will then look to understand and then understand the implementation of supply chain implementation in various other operations. The main focus and aim of the study would be to look for the main ways in which the supply chain can be used for other operations particularly in the operation of construction management. The study will greatly explore the need of supply chain in the field of construction management and will first highlight how the supply chain operations are helpful in the construction management operations. Following are the main objectives of the study.

What are the concepts of supply chain?
How are the concepts of supply chain implemented for the procurement functions?
How will the concepts and practices of supply chain be used in construction operations?

Aims and Objectives: The main aim of the study is to first explore the main operations management practices that are followed globally. The next aim of the study is to understand how the operations management practices will be used in the global tourism and travel industry. One of the aims of the study will be to first identify the practice and the individually evaluate them to understand that which practices can be implemented in which part of the tourism industry. The study will focus on finding out how will the tourism industry will benefit from the implementation of the operations management practices and how much will the integration affect the changes. Following are the main objectives of the study.

What are the main practices of operational management that are followed globally?
How will the global operational management practices be implemented in the global tourism industry?
How will the implementation of the global operational management practices in the global tourism industry?

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Operations Management Dissertation Ideas For An Easy Top Grade

Operations management dissertation ideas are more helpful than mere operations management dissertation topics. Reason being that these dissertation ideas allow for a better formulation of operations management dissertation topics. For these reasons, our exceptional writing experts have also prepared a free list of operations management dissertation ideas you can find online, that you can use to custom make operations management dissertation topics.

Aims and Objectives: The main aim of the study is to find out the important role that suppliers play in the operations management industry. The aim of the study will be understanding the main operations of the industry and then study them individually and them come to a conclusion. The study will then understand just how much the integration of the data will be done. The one of the aims of the study will be to first identify the practice and the individually evaluate them to understand that which practices can be implemented in which part of the construction industry. The study will focus on finding out how will the construction industry will benefit from the implementation of the operations management practices and how much will the integration affect the changes. Following are the main objectives of the study. The study will then focus on the integration of the suppliers in the construction industry.

Aims and Objectives: The main aim of the study is to conduct an extensive study on the various concepts of the use of economic policies and their effective use in the strategic operations management. The aim of the study will be understanding the main operations of the industry and then study them individually and them come to a conclusion. The study will then understand just how much the integration of the data will be done. The one of the aims of the study will be to first identify the practice and the individually evaluate them to understand that which practices can be implemented in which part of the construction industry. The study will focus on finding out how will the economic policies will help in the strategic operations management and what will the advantages and disadvantages of this type of integration. The study will focus on finding out exactly how much will the economic policy will be effected.

TYPE	SUBJECT
An exploration for determining the contextual relevance of supplier integration in operations management. A case study of the construction industry.
BS	A critical analysis on the relevance of economic policy structures on strategic operations management.
MSC	A systematic review for testing practical applicability of theoretical concepts of operations management in automobile manufacturing companies in USA.
MSC	An analysis for determining the role of effective strategy implementations on an organization’s employee base. A case study of the US healthcare sector.
MS	An analysis of the relationship between performance management and company objectives. A systematic review of the Human Resource Division of audit firms in UK.
MS	A correlative study for understanding the relationship between employee management and its impact on successful operations management. A case study of Toyota company.
MS	A novel evaluation of company’s tradeoff between originality and standardization. A case study of the IT sector of UK
PhD	A comparative evaluation of the effectiveness of operations management for products and services service of UK.
PhD	A critical analysis on the impact of operations management quality on provision of bank loans.
PhD	An analysis of the role of government subsidies on the factors of production in ensuring fair prices for consumers.

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There are some simple techniques that you can use to make your dissertation topic prolific. For example, you need to keep your dissertation topic focused, yet simple. This topic should be creatively written and should pique reader’s interest. Before finalizing a topic, explore all the options as extensively as you can, make you of all the resources at your disposal. And lastly make sure that your topic is relevant to your career goals.

A dissertation can take from a few months to even a few years to complete. Therefore, the best ways of making the most out of your time are that you should start the writing process as early as possible. Make a proper time table from the start till the very end and then strictly adhere to it. Take the advice of your supervisors and advisors religiously, brainstorm with them, ask them suggestions and follow them.

There are various websites that you can visit for finding data related to operation management, for example arxiv.org, science direct, research gate, wiley’s online library, google scholar, to name a few.

Citation style or referencing style depends on a number of factors, for example the style that your supervisor wants, the one that your department follows, the one acceptable by your university, the one that is prerequisite for the journal you want to publish it in

Dissertation Topics: 190 Best Ideas

Coming up with the right dissertation topics is one of the most important decisions you'll make in your academic life. With so many fields to explore, finding a subject that not only interests you but also has enough research material can feel overwhelming. In 2024, some topics are gaining particular attention:

Sustainability and environmental challenges
Artificial intelligence and its impact on society
Mental health and well-being
The future of work and remote employment
Social media's role in shaping political discourse

In this article, we'll guide you through these trending dissertation topics and provide insights into choosing one that suits your interests and goals. We'll also cover how to approach your research and craft a strong argument without getting lost in the process. If you still find yourself stuck after reading, DoMyEssay offers top-tier assistance to help you with writing a dissertation and beyond.

Economics Dissertation Topics

Here are 10 unique topics that offer a fresh perspective on key economic issues, giving you a solid starting point for in-depth research.

How do cryptocurrency regulations impact global financial stability?
What role does AI play in shaping modern economic forecasting models?
How has remote work affected productivity and wage inequality in developed economies?
Can universal basic income reduce poverty in high-income countries?
How does climate change influence global trade patterns and resource allocation?
What are the long-term economic effects of the gig economy on traditional labor markets?
How does social media advertising impact consumer behavior and economic growth?
What are the economic consequences of shifting to renewable energy sources?
How do international sanctions affect the economic development of targeted countries?
What is the impact of rising inflation on small businesses in emerging markets?

Business Dissertation Topics

When it comes to business dissertations, focusing on current trends and challenges is key. Each question below tackles a unique aspect of the evolving business landscape.

How does corporate social responsibility influence consumer loyalty in 2024?
What are the most effective leadership styles in hybrid work environments?
How do start-ups use innovation to compete with established brands in crowded markets?
What is the role of emotional intelligence in modern business negotiations?
How do data-driven strategies improve decision-making in the retail sector?
What are the key factors affecting the success of mergers and acquisitions in tech companies?
How does influencer marketing impact brand credibility and sales growth?
What are the long-term effects of supply chain disruptions on global business operations?
How do sustainability practices impact profitability in the fashion industry?
What is the role of workplace diversity in enhancing creativity and innovation?

Dissertation Ideas in Management

These management-focused ideas offer timely topics for research while addressing real-world challenges in modern organizations.

How can companies build a resilient workforce in the face of global crises?
What are the most effective strategies for managing remote teams across multiple time zones?
How does emotional intelligence in leadership improve employee performance and satisfaction?
What role does digital transformation play in streamlining operations in large organizations?
How can change management frameworks help companies adapt to disruptive technologies?
What are the best practices for managing diversity and inclusion in the workplace?
How can performance management systems be redesigned to suit hybrid work models?
What impact does ethical leadership have on organizational culture and long-term success?
How can agile project management be effectively implemented in non-tech industries?
What strategies help reduce employee burnout and improve retention in high-pressure industries?

Finance Dissertation Ideas

Finance is a field rich with complex, evolving topics. Here are ten dissertation ideas in finance, each presenting a unique angle for exploration:

How do interest rate changes impact investment decisions in emerging markets?
What are the effects of fintech innovations on traditional banking practices?
How can risk management strategies be optimized for volatile cryptocurrency markets?
What role does behavioral finance play in stock market volatility?
How do environmental, social, and governance (ESG) factors influence investment portfolios?
What are the economic implications of high-frequency trading on market stability?
How do regulatory changes affect financial market efficiency and investor behavior?
What impact does corporate governance have on financial performance and shareholder value?
How can predictive analytics improve credit risk assessment for financial institutions?
What are the financial risks and opportunities associated with sustainable investment funds?

Dissertation Topics in Marketing

These topics focus on contemporary issues and innovations in marketing, providing a range of options for impactful research.

How does personalized marketing affect customer loyalty and retention in e-commerce?
What are the impacts of influencer marketing on brand perception and sales conversion?
How can companies leverage big data to enhance their digital marketing strategies?
What role do mobile marketing strategies play in influencing consumer purchasing decisions?
How do environmental and sustainability claims influence consumer brand trust and purchase behavior?
What are the effects of social media advertising on brand equity and consumer engagement?
How can businesses effectively use customer feedback to drive product development and marketing strategies?
What are the challenges and opportunities of integrating artificial intelligence into marketing automation?
How does cross-cultural marketing impact global brand positioning and market entry strategies?
What are the trends and effectiveness of experiential marketing in enhancing brand experiences?

Dissertation Topics in Accounting

Accounting is important for managing financial health and ensuring compliance. Here are ten dissertation topics in accounting, each offering a fresh perspective on key issues and developments:

How do blockchain technologies improve transparency and reduce fraud in financial reporting?
What are the effects of new accounting standards on financial statements and investor decisions?
How can forensic accounting techniques be enhanced to better detect financial irregularities?
What impact do tax reforms have on corporate financial strategies and compliance?
How does environmental accounting contribute to corporate sustainability and reporting practices?
What role does artificial intelligence play in automating and improving auditing processes?
How do international accounting standards affect financial reporting for multinational corporations?
What are the implications of revenue recognition changes on performance metrics and financial health?
How can small businesses effectively manage and report financial risks in a volatile economy?
What are the challenges and benefits of integrating cost management systems into strategic decision-making?

Human Resources Dissertation Topics

These topics cover contemporary issues and advancements in HR, providing a range of options for in-depth and impactful research.

How can organizations effectively implement remote work policies while maintaining employee engagement and productivity?
What are the impacts of AI and automation on HR practices and job roles?
How does diversity and inclusion training influence workplace culture and employee performance?
What strategies can HR departments use to address and reduce employee burnout in high-stress industries?
How does employee well-being and mental health support impact organizational performance and retention?
What are the best practices for managing talent acquisition in a competitive job market?
How can HR analytics be utilized to improve decision-making and workforce planning?
What role does leadership development play in preparing employees for succession planning?
How do compensation and benefits strategies affect employee satisfaction and organizational loyalty?
What are the challenges and opportunities in implementing effective performance management systems?

Political Science Dissertation Titles

Political Science examines the dynamics of power, governance, and policy.

How do migration and refugee crises affect national security policies and international diplomacy?
What are the consequences of foreign interference in democratic elections on national sovereignty?
How does the rise of authoritarian regimes challenge global human rights standards?
What role does political ideology play in shaping public policy and legislative outcomes?
How do social media platforms influence political mobilization and public opinion?
What are the effects of populist movements on democratic institutions and governance?
How do international sanctions impact the political stability and economic development of targeted nations?
What role does political corruption play in undermining democratic processes and reforms?
How do environmental policies shape political agendas and international relations?
What are the impacts of electoral system reforms on political representation and voter participation?

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Law Dissertation Topics

Law is a vast field with many evolving areas of interest. Here are ten dissertation topics in law, each focusing on contemporary issues and legal challenges:

How do recent changes in data protection laws impact corporate compliance and consumer privacy?
What are the legal implications of autonomous vehicles on liability and insurance frameworks?
How do international human rights treaties influence domestic legal systems and practices?
What role does corporate governance play in preventing financial fraud and ensuring ethical business practices?
How effective are current anti-terrorism laws in balancing national security and civil liberties?
What are the legal challenges and opportunities in regulating cryptocurrency and digital assets?
How does the rise of environmental litigation affect corporate environmental responsibility and regulatory compliance?
What are the legal implications of remote work on labor laws and employment contracts?
How do family law reforms impact child custody decisions and parental rights?
What are the effects of legal reforms on access to justice and legal representation for marginalized communities?

History Dissertation Topic Ideas

These history dissertation topics are designed to shed light on significant and unique aspects of the past:

How did the rise of industrialization impact social structures and labor conditions in 19th-century Europe?
What were the long-term effects of colonialism on indigenous cultures and economies in Africa?
How did the Cold War influence global political alignments and conflicts in the Middle East?
What role did women play in social and political movements during the early 20th century?
How did the Great Depression shape economic policies and social welfare programs in the United States?
What were the causes and consequences of the fall of the Roman Empire on European civilization?
How did technological advancements during World War II alter warfare strategies and post-war geopolitics?
What impact did the Civil Rights Movement have on legislation and race relations in post-1960s America?
How did the Silk Road facilitate cultural and economic exchanges between East and West in ancient times?
What were the effects of political revolutions in Latin America on regional stability and international relations?

Psychology Dissertation Topics

The psychology dissertation topics below cover a wide range of topics related to human behavior and mental processes.

What role does early childhood trauma play in the development of personality disorders?
How do sleep patterns affect cognitive functioning and emotional regulation in young adults?
What are the psychological effects of remote work on employee motivation and job satisfaction?
How does attachment style influence romantic relationships and relationship satisfaction?
What are the impacts of virtual reality exposure therapy on treating phobias and PTSD?
How does social media use impact adolescent self-esteem and mental health?
What are the effects of mindfulness-based interventions on anxiety and depression in adults?
How do cognitive biases influence decision-making in high-stress environments?
How does cultural background affect the perception and treatment of mental health issues?
What are the psychological factors contributing to addiction and effective strategies for intervention?

Sociology Dissertation Topics

Here are ten social work dissertation topics that examine the complex interactions between individuals and society:

What are the social consequences of rising political polarization and partisan identity?
How does the gig economy impact traditional employment structures and worker rights?
What are the effects of environmental degradation on marginalized communities and social justice?
How does the rise of digital technologies influence social relationships and interpersonal communication?
What are the implications of aging populations on healthcare systems and social policies?
How does social media influence identity formation and self-perception among teenagers?
What are the effects of urbanization on community cohesion and social networks in modern cities?
How does economic inequality impact access to education and social mobility?
What role does family structure play in shaping children's academic and social outcomes?
How do migration and globalization affect cultural identity and integration in host societies?

PhD Dissertation Topics

PhD dissertations often tackle complex and advanced subjects.

How can adaptive algorithms improve real-time decision-making in autonomous drone systems?
What are the long-term impacts of synthetic biology on ecological balance and biodiversity?
How do blockchain technologies influence transparency and accountability in supply chain management?
What are the effects of neuroplasticity-focused interventions on cognitive rehabilitation for brain injury survivors?
How can advanced data analytics reshape predictive models for rare disease diagnostics?
What role does gene-environment interaction play in the development of complex psychiatric disorders?
How does the integration of augmented reality in educational settings affect student engagement and learning outcomes?
What are the implications of nanotechnology in the development of next-generation drug delivery systems?
How do sociopolitical narratives shape the perception and policy responses to emerging infectious diseases?
What are the ethical considerations and societal impacts of using AI in autonomous legal decision-making systems?

Ecology Dissertation Ideas

These topics explore different aspects of ecosystems and environmental interactions:

How does climate change affect the migration patterns of avian species?
What are the impacts of deforestation on biodiversity and ecosystem services in tropical rainforests?
How do invasive species alter native ecosystems and food webs?
What role do urban green spaces play in supporting local wildlife and improving ecological health?
How does pollution from agricultural runoff affect aquatic ecosystems and water quality?
What are the effects of habitat fragmentation on animal behavior and population dynamics?
How do conservation strategies influence the recovery and resilience of endangered species?
What is the impact of ocean acidification on marine biodiversity and coral reef ecosystems?
How do changes in land use impact soil health and ecosystem productivity?
What role do ecological interactions play in the spread and control of zoonotic diseases?

Biology Dissertation Topics

Biology covers the study of living organisms and their interactions with the environment.

How do genetic modifications impact the resistance of crops to pests and diseases?
What are the effects of climate change on marine biodiversity and ecosystem dynamics?
How do microbial communities in the gut influence human health and disease?
What are the mechanisms of resistance development in bacteria against antibiotics?
How does habitat loss affect the genetic diversity and survival of endangered species?
What role do epigenetic changes play in cancer development and progression?
How can CRISPR technology be used to address genetic disorders and enhance gene therapy?
What are the ecological impacts of plastic pollution on terrestrial and aquatic ecosystems?
How do plant-pollinator interactions affect crop yields and ecosystem stability?
What are the implications of evolutionary biology for understanding human diseases and treatments?

Dissertation Topics in Educational Leadership

These education dissertation topics focus on critical issues and trends in the field:

How do transformational leadership styles impact teacher motivation and student achievement?
What are the effects of school leadership on implementing inclusive education practices?
How does distributed leadership influence decision-making and collaboration in schools?
What role does educational leadership play in addressing and reducing achievement gaps?
How can leaders effectively manage and support the integration of technology in the classroom?
What are the challenges and benefits of leadership in diverse and multicultural school settings?
How do principal leadership practices affect school culture and climate?
What strategies can educational leaders use to foster professional development and continuous learning among teachers?
How does leadership in early childhood education differ from leadership in K-12 settings?
What are the impacts of policy changes on school leadership and educational outcomes?

Dissertation Topics in Education

Here are ten education dissertation topics covering a range of issues within the field.

How does early childhood education impact long-term academic success and social development?
What are the effects of differentiated instruction on student engagement and learning outcomes?
How can educational institutions effectively support students with learning disabilities?
What is the role of parental involvement in enhancing student performance and motivation?
How do online learning platforms compare to traditional classroom settings in terms of student achievement?
What are the challenges and opportunities of implementing culturally responsive teaching practices?
How does formative assessment influence student learning and instructional strategies?
What impact does school leadership have on teacher job satisfaction and retention?
How can schools address and prevent bullying through educational programs and policies?
What are the effects of integrating social-emotional learning into the school curriculum on student behavior and academic performance?

Dissertation Topics in Higher Education

Higher education is a dynamic field with many areas ripe for exploration.

How do university admissions policies impact diversity and inclusion in higher education institutions?
What are the effects of online learning platforms on student engagement and academic performance in higher education?
How can higher education institutions better support first-generation college students?
What role does academic advising play in student retention and success in university settings?
How do financial aid programs influence students' academic choices and career outcomes?
What are the impacts of global exchange programs on students' cultural competence and academic growth?
How does campus climate affect student mental health and well-being in higher education institutions?
What strategies can universities employ to enhance the integration of career readiness into the curriculum?
How do faculty development programs impact teaching effectiveness and student learning in higher education?
What are the challenges and opportunities of implementing sustainability practices within university operations and curricula?

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How to Choose a Dissertation Topic?

Choosing topics for dissertation on your own doesn't have to be overwhelming. Here's a straightforward approach to help you land on the perfect subject:

Check the Research Gaps: Look for areas in your field that haven't been fully explored yet, offering you a chance to contribute something new.
Consider Relevance: Make sure the topic is timely and has a connection to current trends or future developments in your field.
Scope It Right: Don't choose a topic that's too broad or too narrow. Aim for one with enough material to explore but manageable within your timeline.
Availability of Resources: Ensure you have access to the necessary data, studies, and experts to support your research.
Consult Your Advisor: Don't hesitate to discuss your dissertation ideas with your advisor. Their feedback can help refine your topic and make it more focused.

Where to Look For a Unique Dissertation Topic?

Here are some simple yet effective ways to discover truly great topics for dissertation :

Academic Journals: Browse the latest issues of relevant journals to spot emerging trends or unexplored areas of research.
Conferences and Seminars: Attending academic events can expose you to cutting-edge research and provide inspiration for your topic.
Online Databases: Platforms like Google Scholar or JSTOR are excellent for identifying recent studies and some great examples of dissertation topics.
Current News and Industry Reports: Look for real-world issues in your field by staying up to date with news articles and industry reports. These sources often highlight hot topics.
Your Own Work Experience: If applicable, draw from any personal experience or previous research projects that you can expand upon or dive deeper into.

What Does a Good Dissertation Title Look Like?

Once you've settled on a topic, crafting the right title is the next critical step. A strong dissertation title should do more than just summarize your research—it should grab attention and clearly communicate the focus of your study. Here's what makes a good dissertation title:

Clarity: Your title should be straightforward and easy to understand, leaving no room for confusion about what your dissertation ideas cover.
Specificity: A good title narrows down your topic to a specific area, highlighting exactly what your research will focus on.
Relevance: Ensure the title reflects current issues or debates within your field. It should immediately signal why your research matters.
Conciseness: Keep it short and to the point. Long, complicated titles can be overwhelming and less memorable.
Keywords: Include key terms related to your topic that will help others find your work during searches.

What are Some Relevant Ideas to Research in 2024?

As we move through 2024, certain areas of research are more relevant than ever, especially in fields like AI, technology, and politics. These subjects are constantly evolving, offering plenty of opportunities for fresh and impactful research:

Artificial Intelligence: Focus on the ethical implications, advancements in machine learning, or AI's impact on industries such as healthcare, education, or the job market.
Technology: Explore emerging technologies like blockchain, quantum computing, or virtual reality and how they're transforming sectors like finance, entertainment, or data security.
Politics: Research the influence of social media on political movements, the rise of populism, or how global events are shaping new policies and governance models.

Final Remarks

In 2024, some of the hottest areas for research include:

The ongoing challenges of climate change policies
AI's role in modern industries
Mental health in the workplace
Cryptocurrency regulations
The rise of sustainable practices across different sectors.

Whether you're drawn to technology's advancements, the future of education, or gender equality in leadership, there's no shortage of fascinating directions you can take your research. If you're still feeling unsure about which topic is right for you, DoMyEssay's dissertation writing service is ready to step in and assist—not only with writing but even helping you pinpoint a unique topic that suits your interests and academic goals.

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Grab The Best Operations Management Dissertation Topics Ideas

Home » Ideas » Management Dissertation Topics » Grab The Best Operations Management Dissertation Topics Ideas

Updated: December 7, 2023

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Investigating possible dissertation topics in the field of operations management reveals an intriguing area where strategy optimization and organizational efficiency coexist. Entering this sector requires a combination of academic research and a strong dedication to solving the complex problems that come with contemporary operations management.

Offering a carefully chosen selection of dissertation themes piques students’ interest and encourages them to view operations management as an exciting and vibrant field of study. People who critically interact with current practices, new problems, and different viewpoints are better able to come up with creative answers to urgent operational problems. Let’s now explore the carefully curated list that the seasoned professionals at Dissertation Help Services UK have put together.

List Of Operations Management Dissertation Topics In UK

Make use of our experience navigating the wide range of operations management dissertation topics in the UK setting. With our online support, set out on an academic investigation into the multitude of topics within this ever-evolving field. Give our committed staff the freedom to choose the most interesting and rewarding courses of study for your operations management degree, so that you can have a rewarding and enriching academic experience.

With our online dissertation services, our team is prepared to assist you at any point during the dissertation process. We can assist you with finding creative ideas for topics or expert advice on how to improve already-existing notions. Contact us right now by filling out the form on this page, sending us an email, or using live chat to obtain topics that are specifically matched to your interests.

Whether you decide to study topics like supply chain optimization, lean manufacturing, or quality management, each dissertation topic offers a chance to have a big impact on the operations management industry. By conducting a thorough examination of the importance, practicability, and moral ramifications of these subjects, students not only improve their understanding of the subject matter but also have the ability to influence good changes in policies and procedures that are implemented in the UK.

1. Sustainable Operations Management: Integrating Circular Economy Principles into Supply Chains..

This research endeavors to explore how operations management can embrace principles of the circular economy for a more sustainable supply chain model.

To examine the relevance of circular economy principles in modern supply chain management.
To assess successful case studies where these principles have been integrated.
To understand the challenges faced during such integration.
To develop a framework for sustainable operations management in the context of the circular economy.

2. Artificial Intelligence in Operations: Assessing Efficiency Improvements in Automated Production Lines.

The study aims to understand the role of artificial intelligence in enhancing the efficiency of automated production lines.

To analyze the current integration of AI in production operations.
To evaluate improvements in efficiency and output due to AI.
To assess the challenges and limitations of AI integration.
To project future trends in AI-driven operations management.

3. Agile Operations Management: An Analysis of Flexibility and Responsiveness in Manufacturing.:

This research seeks to delve into the benefits and challenges of employing agile methodologies in operations management, specifically in manufacturing.

To study the principles and practices of agile operations management.
To evaluate the performance enhancements attributed to agile methodologies.
To understand the prerequisites and challenges of adopting agility in operations.
To develop best practices for integrating agile methods in manufacturing operations.

4. Risk Mitigation in Global Supply Chains: A Post-pandemic Perspective.

The dissertation aims to understand the importance and methods of risk mitigation in global supply chains, especially after disruptive events like the pandemic.

To assess the vulnerabilities exposed during the COVID-19 pandemic.
To evaluate the strategies employed for risk mitigation during and after the pandemic.
To understand the long-term implications of such strategies.
To develop a framework for robust risk mitigation in future disruptions.

5. Operational Resilience through Technology: Role of IoT and Big Data in Supply Chain Management.

This research intends to evaluate the role of emerging technologies, like IoT and Big Data, in enhancing operational resilience in supply chain management.

To study the integration of IoT and Big Data in modern supply chains.
To assess the improvements in visibility, traceability, and responsiveness.
To understand the challenges in technology adoption and data management.
To forecast future trends in tech-driven operations management.

6. Innovations in Inventory Management: Assessing the Role of Predictive Analytics and Machine Learning.

The study endeavors to understand the transformative role of predictive analytics and machine learning in inventory management.

To analyze current innovations in inventory management using these technologies.
To evaluate the efficiency improvements and cost savings due to these tools.
To understand the potential pitfalls and challenges in technology adoption.
To project future advancements in inventory management practices.

7. Operations Strategy for Customization: Assessing the Shift from Mass Production to Mass Customization.

This dissertation seeks to explore the operational shifts and strategies required to move from mass production models to mass customization.

To study the principles of mass customization in production.
To evaluate the benefits and challenges of this shift.
To understand the consumer demand and reception of customization.
To develop best practices for operations focused on mass customization.

8. Green Operations and Environmental Responsibility: A Study of Eco-friendly Production Methods and Practices.

The research aims to delve into the integration of eco-friendly practices and methods in production operations.

To analyze the current green initiatives in operations across industries.
To evaluate the environmental and financial impacts of such practices.
To assess the challenges and barriers in adopting green operations.
To forecast trends and advancements in environmentally responsible operations.

9. Operational Excellence in the Service Industry: An Analysis of Lean Practices and Continuous Improvement.

This study intends to understand the application and benefits of lean practices and continuous improvement methodologies in the service industry.

To assess the relevance of lean principles in service operations.
To evaluate case studies showcasing operational excellence in the service domain.
To understand the challenges in lean adoption in non-manufacturing settings.
To develop a blueprint for achieving operational excellence in service industries.

10. Global Sourcing and Operations: Challenges and Strategies in Multi-sourced Supply Chain Management.

This research endeavors to delve into the intricacies, challenges, and strategies associated with managing a multi-sourced global supply chain.

To study the dynamics and complexities of global sourcing in operations.
To evaluate the benefits, risks, and challenges of multi-sourced supply chains.
To understand the strategies employed for effective global sourcing.
To project future trends and challenges in global operations management.

11. Operational Synergy in Mergers and Acquisitions: A Study of Post-merger Integration in Manufacturing Units.

This research endeavors to understand the challenges and strategies associated with achieving operational synergy following mergers and acquisitions in manufacturing sectors.

To evaluate the challenges faced during post-merger operational integration.
To analyze successful case studies of post-merger operational synergy.
To develop strategies to smooth the integration process.
To understand the long-term implications of mergers on operations.

12. Ethical Considerations in Operations Management: Practices, Challenges, and Benefits

The study aims to delve into the ethical aspects of operations, assessing their relevance, challenges, and potential benefits.

To study the role of ethics in modern operations management.
To evaluate the challenges and barriers in adopting ethical practices.
To understand the benefits and competitive advantages of ethical operations.
To develop a framework for ethics in operations.

13. 3D Printing in Operations: Implications, Challenges, and Future Prospects in Manufacturing.

This research seeks to understand the transformative role of 3D printing in manufacturing operations.

To assess the current state of 3D printing in operations.
To understand the benefits and limitations of this technology.
To evaluate the implications for supply chains and inventory management.
To project future advancements and trends in 3D printing operations.

14. Cross-functional Integration in Operations and Marketing: Strategies for Enhanced Customer Value.

The dissertation aims to understand the significance and strategies of integrating operations with marketing functions to deliver superior customer value.

To study the interface between operations and marketing in organizations.
To evaluate successful integration practices that enhance customer value.
To understand challenges in cross-functional integration.
To develop best practices for integrated operations and marketing strategies.

15. Operations in a Digital World The Role of Blockchain in Supply Chain Management.

This research aims to evaluate the potential of blockchain technology in revolutionizing supply chain operations.

To study the principles and application of blockchain in supply chains.
To assess the transparency, traceability, and efficiency enhancements due to blockchain.
To understand barriers and challenges to blockchain adoption.
To forecast trends in blockchain-enabled operations.

16. Operational Efficiency in the Healthcare Sector: Lean and Six Sigma Applications.

This study endeavors to understand the application, challenges, and benefits of lean and Six Sigma methodologies in healthcare operations.

To evaluate the relevance of lean and Six Sigma in healthcare.
To assess improvements and efficiencies due to these methodologies.
To understand the challenges in implementing lean and Six Sigma in healthcare.
To project future trends in healthcare operations management.

17. Reverse Logistics in Operations: Challenges, Strategies, and Implications for Sustainability.

This research seeks to delve into the complexities of reverse logistics in operations and its implications for sustainability.

To understand the significance of reverse logistics in modern operations.
To evaluate strategies for efficient reverse logistics systems.
To assess the challenges and hurdles in implementing reverse logistics.
To understand the role of reverse logistics in sustainable operations.

18. Distributed Manufacturing and Operations: Advantages, Challenges, and Future Trends.

The study aims to explore the paradigm of distributed manufacturing and its implications for operations management.

To study the principles and advantages of distributed manufacturing.
To evaluate the challenges and barriers in this model.
To understand the implications for supply chains and distribution.
To forecast the growth and trends of distributed manufacturing.

19. Operations Management in E-commerce: Strategies for Scalability and Responsiveness.

This research intends to understand the unique challenges and strategies associated with operations management in e-commerce businesses.

To assess the complexities of e-commerce operations.
To evaluate strategies for scalability, responsiveness, and efficiency.
To understand the role of technology in e-commerce operations.
To project future challenges and trends in e-commerce operations.

20. Safety and Security in Operations: Strategies, Technologies, and Best Practices.

This study aims to delve into the safety and security considerations of operations, especially in industries prone to hazards and breaches..

To evaluate the significance of safety and security in operations management.
To understand the technologies and strategies employed for safety.
To assess the challenges and implications of security breaches.
To develop best practices for ensuring operational safety and security.

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Operations Management Dissertation Topics
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Operations Management Dissertation Topics: Managing the operations of a company is the basic domain that comes under the umbrella of operations management. Research topic in operations management covers all those business practices that are linked with managing operations. This includes initial strategy, implementation, and final outcomes.
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The pandemic has transformed supply chains. Study the changes and strategies for effective supply chain management post-pandemic. This topic is suitable for those interested in operations management and global business trends. Conclusion. Selecting a topic for your business management dissertation is a journey of exploration and discovery.
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The theses produced at the ORC are a principle way in which the ORC achieves its mission. Whether you are a member of our doctoral degree (PhD) program or our master's degree (SM) program in operations research, you will write a thesis based on original, independent research conducted under the guidance of our expert faculty.
PDF Operations Management Dissertation
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30+ Management Dissertation Topics. The following is a list of management dissertation topics based on the different areas of management: 1. Organizational Behavior Dissertation Topics. The significance of people management, work-life balance, and retention methods in the hotel business. A case study of RBS's organizational tactics for ...
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As you go about choosing an appropriate operations management dissertation topic, the following are viable suggestions that coursework writers propose for your inspiration: Academic journals- Some of the latest findings on operations management in journals can guide you to select a viable topic. For example, behavior in operations management ...
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Assessment of human factors as a main contributory factor to youth-related road fatalities, and countermeasures to address the problem. Mofokeng, Motselisi Precious (2023-05) Road-related deaths contribute significantly to the death rate in South Africa (SA) and across the world, especially among the youth. The current study investigated road ...
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A case study of the textile industry. 16. An analysis of the practical efficacy of Resource Based Theory (RBT) in strategic operations management in UK manufacturing sector. 17. A critical evaluation of the scope of operations management in the finance sector of healthcare systems of UK. 18.
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Where to Look For a Unique Dissertation Topic? Here are some simple yet effective ways to discover truly great topics for dissertation : Academic Journals: Browse the latest issues of relevant journals to spot emerging trends or unexplored areas of research. Conferences and Seminars: Attending academic events can expose you to cutting-edge research and provide inspiration for your topic.
Best Operations Management Topics and Ideas [2024 Updated]
List Of Operations Management Dissertation Topics In UK. Make use of our experience navigating the wide range of operations management dissertation topics in the UK setting. With our online support, set out on an academic investigation into the multitude of topics within this ever-evolving field. Give our committed staff the freedom to choose ...

Top 50 Operations Management Dissertation Topics Trending in the Year 2021

Introduction

The Levels of Operations Management Implementation

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Operations Management Research Paper Topics

100 Operations Management Research Paper Topics

Academic Writing, Editing, Proofreading, And Problem Solving Services

Supply Chain Management

Quality Control and Assurance

Logistics Management

Service Operations Management

Strategic Operations Management

Sustainability and Environmental Considerations

Technology and Innovation Management

Project Management

Human Resources and Operations

Operations Management and the Range of Research Paper Topics

Introduction to Operations Management

Significance of Operations Management

The Ever-Evolving Nature of Operations Management

Range of Research Paper Topics

How to Choose Operations Management Research Paper Topics

10 Tips for Choosing Operations Management Research Paper Topics

Concluding Thoughts

How to Write an Operations Management Research Paper

Introduction

10 Tips for Writing an Operations Management Research Paper

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35 Business Management Dissertation Topic Ideas

Topic Ideas for a Business Management Dissertation

Idea 1: The Impact of Remote Work on Organizational Culture

Idea 2: AI and Decision Making in Business Management

Idea 3: Sustainability Practices in Corporate Governance

Idea 4: Consumer Behavior in Digital Marketplaces

Idea 5: The Role of Leadership in Organizational Change

Idea 6: Ethical Dilemmas in Business Management

Idea 7: Impact of Globalization on Small Businesses

Idea 8: Strategies for Managing Workplace Diversity

Idea 9: Financial Risk Management in Uncertain Times

Idea 10: The Influence of Social Media on Brand Reputation

Idea 11: Innovation Management in Tech Companies

Idea 12: Employee Motivation and Performance in Virtual Teams

Idea 13: The Role of Corporate Social Responsibility in Consumer Trust

Idea 14: Big Data Analytics in Strategic Decision Making

Idea 15: The Psychology of Leadership in High-Pressure Situations

Idea 16: The Impact of E-Commerce on Traditional Retail Businesses

Idea 17: Cross-Cultural Management and Global Team Dynamics

Idea 18: The Future of Work: Trends and Predictions

Idea 19: The Role of Emotional Intelligence in Leadership Effectiveness

Idea 20: Corporate Strategies for Tackling Climate Change

Idea 21: The Effect of Organizational Structure on Business Performance

Idea 22: Mergers and Acquisitions: Strategies for Success

Idea 23: Managing Talent in the Gig Economy

Idea 24: The Role of Technology in Enhancing Customer Experience

Idea 25: Business Ethics and Corporate Transparency

Idea 26: The Impact of Corporate Culture on Employee Engagement

Idea 27: Entrepreneurial Strategies in Emerging Markets

Idea 28: The Influence of Government Policies on Business Practices

Idea 29: Crisis Management in the Age of Social Media

Idea 30: Blockchain Technology in Business Operations

Idea 31: Consumer Trust and Loyalty in Online Marketplaces

Idea 32: The Impact of Corporate Wellness Programs on Employee Performance

Idea 33: International Marketing Strategies in a Digital World

Idea 34: The Role of Mentoring in Leadership Development

Idea 35: Supply Chain Management in a Post-Pandemic World

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100s of Free Management Dissertation Topics and Titles

Introduction

How to Select the Best Management Dissertation Topic?

2024 Management Research Topics

Topic 2: Investigating the effectiveness of customer relationship management in airlines

Topic 3: How does leadership affect employees’ productivity? A case of IT firms

Topic 4: The effect of organisation advancement tools on business performance