research paper for business management

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Business Management Research Paper Topics

This page provides a comprehensive guide on business management research paper topics , designed to assist students in selecting areas that align with their interests and academic goals. The content is organized into several sections, offering an extensive list of topics divided into ten major categories, practical tips on choosing and writing on these topics, and information about iResearchNet’s customized writing services. The material aims to not only inspire and educate students but also support them in their academic journey, making the process of writing a research paper in business management more accessible and engaging. Whether you are new to the field or looking to explore new areas, this resource serves as a valuable starting point.

100 Business Management Research Paper Topics

Business management is a multifaceted field that touches various aspects of organizational functionality, leadership strategies, innovation, ethics, human resources, and much more. Here, we present a comprehensive list of business management research paper topics, categorized into ten distinct sections. These categories span the width and breadth of the field, giving students a wide range of topics to choose from.

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Get 10% off with 24start discount code, leadership and management.

• The Role of Transformational Leadership in Organizational Success
• Ethical Leadership and Corporate Social Responsibility
• Cross-Cultural Management: Leading Global Teams
• Women in Leadership: Challenges and Opportunities
• The Impact of Autocratic Management on Employee Satisfaction
• Emotional Intelligence in Leadership
• Leadership Styles and Organizational Culture
• Innovations in Management Practices
• The Relationship between Leadership and Motivation
• Agile Leadership: Adapting to Rapid Changes in Business

Human Resources Management

• Employee Retention Strategies in Competitive Markets
• The Role of HR in Diversity and Inclusion
• Talent Acquisition and Talent Management Strategies
• The Impact of Remote Work on Human Resources Practices
• Performance Appraisal Systems and Their Effectiveness
• Employee Wellness Programs and Their Impact on Productivity
• HR Analytics: Using Data to Drive Decision-making
• Labor Relations and Conflict Resolution
• Organizational Learning and Development
• Ethics in Human Resources Management

Strategic Management

• Competitive Advantage through Strategic Planning
• SWOT Analysis and Its Role in Business Strategy
• Mergers and Acquisitions: Strategies and Challenges
• Corporate Governance and Business Performance
• Strategic Management in Family-owned Businesses
• Sustainable Business Strategies
• The Role of Innovation in Strategic Management
• Risk Management in Business Strategy
• Strategic Alliances and Business Growth
• Strategy Implementation and Organizational Change

Marketing Management

• Digital Marketing Trends and Their Impact on Business
• Consumer Behavior and Market Segmentation
• Social Media Marketing Strategies
• Brand Management and Brand Loyalty
• Pricing Strategies in Competitive Markets
• Content Marketing and SEO Best Practices
• Relationship Marketing and Customer Retention
• Viral Marketing: Methods and Outcomes
• Influencer Marketing in the Age of Social Media
• Ethical Considerations in Marketing

Financial Management

• Financial Planning and Budgeting in Businesses
• Investment Strategies for Corporate Growth
• Risk Management in Financial Decision Making
• The Role of Financial Technology (FinTech) in Business
• Financial Ethics and Regulations
• Mergers, Acquisitions, and Financial Analysis
• Cash Flow Management for Small Businesses
• Corporate Finance and Capital Structure
• International Financial Management
• Impact of Economic Fluctuations on Financial Management

Operations Management

• Supply Chain Management: Strategies and Challenges
• Quality Control and Total Quality Management
• Lean Manufacturing and Efficiency in Operations
• Operations Strategy in E-commerce
• Inventory Management Techniques
• Process Improvement and Operational Excellence
• The Role of Information Technology in Operations Management
• Sustainability in Operations
• Project Management Best Practices
• Outsourcing and Global Operations

Innovation and Entrepreneurship

• Start-up Culture and Innovation
• Social Entrepreneurship and Sustainable Development
• Innovation Management and Organizational Growth
• The Entrepreneurial Mindset and Business Success
• Venture Capital and Financing Start-ups
• Women Entrepreneurs: Challenges and Opportunities
• Franchising as a Business Model
• Innovation in Product Development
• Disruptive Technologies and Business Transformation
• Creativity and Problem Solving in Entrepreneurship

Business Ethics and Social Responsibility

• Corporate Social Responsibility (CSR) and Stakeholder Engagement
• Ethical Dilemmas in Business Decision Making
• Sustainability and Business Ethics
• Transparency and Accountability in Business
• Ethical Leadership and Organizational Culture
• Business Ethics in Global Operations
• Corporate Philanthropy and Community Engagement
• Environmental Ethics in Business Practices
• Compliance, Regulations, and Business Ethics
• Social Impact of Business: Measuring and Reporting

International Business Management

• Globalization and its Impact on Business Management
• Cross-Border Mergers and Acquisitions
• International Business Strategy and Cultural Considerations
• Managing Multinational Corporations
• International Trade Regulations and Compliance
• Emerging Markets and Business Expansion
• International Marketing Strategies
• Global Supply Chain Management
• Foreign Direct Investment Strategies
• Leadership and Management in International Business

Technology Management

• The Role of Artificial Intelligence in Business Management
• Cybersecurity and Business Risk Management
• Technology Adoption and Organizational Transformation
• E-Business and Digital Transformation
• Technology Management in Healthcare
• Blockchain Technology in Business Operations
• Innovation in Mobile Technologies for Business
• Technology in Human Resources Management
• Internet of Things (IoT) and Smart Businesses
• Virtual Reality (VR) and Augmented Reality (AR) in Marketing

In conclusion, this comprehensive list of business management research paper topics offers students an expansive range of subjects to explore. These topics cater to various interests and can be further customized to align with specific research goals and academic requirements. Whether focusing on leadership, innovation, ethics, or technology, the options provided enable students to dive into meaningful inquiries that contribute to our understanding of the complex and dynamic field of business management.

Business Management and the Range of Research Paper Topics

Business management is an intricate and multifaceted discipline that encompasses various aspects of the modern corporate environment. It involves planning, organizing, directing, and controlling organizational resources to achieve specific goals. This vast field offers a plethora of research paper topics that span across leadership, strategy, marketing, human resources, technology, and more. In this article, we’ll explore the core areas of business management and the wide range of research topics they offer to students and scholars.

Leadership and management form the backbone of any successful organization. They involve setting visions, defining missions, developing strategies, and guiding the organization to achieve its objectives. Research in this area can focus on transformational leadership, ethical leadership, cross-cultural management, and various leadership styles. Investigating leadership theories and their practical application can shed light on how leaders influence organizational success and employee satisfaction.

Human resources management (HRM) plays a critical role in recruiting, training, motivating, and retaining employees. Research topics within HRM may include diversity and inclusion, talent management, performance appraisal systems, and employee wellness programs. The evolving nature of remote work has also opened new avenues for research in HR practices and its impact on organizational culture.

Strategic management involves the formulation and implementation of major goals and initiatives to ensure organizational growth and sustainability. Topics like competitive advantage, mergers and acquisitions, corporate governance, and risk management fall under this umbrella. Researching sustainable business strategies or innovation in strategic management can lead to valuable insights into long-term planning and decision-making.

Marketing management focuses on planning, executing, and monitoring marketing strategies. Research topics can cover digital marketing trends, consumer behavior, brand loyalty, pricing strategies, and ethical considerations in marketing. Investigating the effects of social media on marketing or exploring new methods of viral marketing can provide fresh perspectives on reaching modern audiences.

Financial management is vital for the financial health and stability of an organization. Research in this area may involve financial planning, investment strategies, risk management, financial technology, and corporate finance. Analyzing the effects of economic fluctuations or studying the role of FinTech in business can contribute to a deeper understanding of financial decisions and their consequences.

Operations management is concerned with designing, overseeing, and controlling production processes. Topics like supply chain management, quality control, lean manufacturing, and sustainability in operations are key areas of interest. Research in process improvement, project management best practices, or the role of IT in operations management can provide insights into efficiency and productivity.

Innovation and entrepreneurship are about fostering creativity, starting new ventures, and driving organizational growth. Research in this field can cover start-up culture, social entrepreneurship, venture capital, women entrepreneurs, and innovation in product development. Understanding disruptive technologies or exploring creativity in entrepreneurship can enrich the body of knowledge in business innovation.

Business ethics and social responsibility examine how organizations engage with stakeholders and the broader community. Topics include corporate social responsibility, ethical decision-making, transparency, and compliance. Research in this area can highlight the importance of ethics in global operations or explore the social impact of business practices.

International business management studies how organizations operate on a global scale. Research topics in this area may include globalization, cross-border mergers, international business strategy, and emerging markets. Investigating international marketing strategies or leadership in international business can offer unique insights into global commerce and cross-cultural interactions.

Technology management is an evolving field that integrates technology into business strategies. Research can explore artificial intelligence, cybersecurity, digital transformation, blockchain technology, and more. Investigating the role of technology in various business functions can lead to new ways of leveraging technology for growth and innovation.

Business management is a dynamic and complex field that intersects with various domains and specialties. The breadth of topics available for research reflects the multifaceted nature of the business world. Whether investigating leadership philosophies, diving into marketing strategies, exploring financial decision-making, or examining the ethical considerations of business practices, the field of business management offers a rich and varied landscape for intellectual inquiry.

For students looking to embark on a research paper, this wide array of topics provides opportunities to align academic interests with real-world applications. The continuous evolution of business practices, influenced by technological advancements, societal norms, global trends, and economic forces, ensures that business management will continue to be a fertile ground for research and exploration for years to come.

How to Choose Business Management Research Paper Topics

Choosing a topic for a research paper in business management can be a daunting task given the multifaceted nature of the field. Selecting the right topic is crucial as it lays the foundation for the entire research process. A well-chosen topic not only engages the reader but also aligns with the researcher’s interest, the study’s scope, and academic requirements. Here, we’ll explore some strategies and tips to help guide you through the process of choosing business management research paper topics that will resonate with your academic pursuits and curiosity.

• Identify Your Area of Interest : Start by identifying the particular aspect of business management that intrigues you the most. Whether it’s human resources, marketing, finance, leadership, or any other area, focusing on your interest helps ensure that the research process will be engaging and rewarding.
• Analyze the Relevance : Consider the relevance of the topic to current trends and issues in the business world. Researching a relevant and timely subject allows your work to contribute to contemporary discourse and can make it more appealing to readers.
• Consider Academic and Practical Applications:  Think about the academic significance and real-world applications of the chosen topic. It’s essential to align the topic with academic theories while also considering how it can apply to real-world business scenarios.
• Evaluate the Scope:  Evaluate the scope of the topic to ensure that it’s neither too broad nor too narrow. A well-defined scope helps in focusing the research, developing a coherent argument, and ensuring that the research is manageable within the given timeframe.
• Check for Available Resources: Before finalizing a topic, ensure that there are enough resources and research materials available. Having access to relevant literature, data, and experts will facilitate a more thorough and credible research process.
• Consult with a Mentor or Advisor:  Consulting with a mentor, advisor, or faculty member can provide valuable insights and guidance in selecting the most suitable topic. They can offer expert advice based on your interests, academic requirements, and the field’s current trends.
• Analyze Previous Research:  Reviewing existing research in the desired field can highlight gaps in knowledge, emerging trends, and potential areas for further investigation. Analyzing previous works helps in building on existing knowledge and contributing something new to the field.
• Consider Ethical Implications:  It’s important to consider the ethical implications of the chosen research topic, especially if it involves human subjects, sensitive data, or controversial issues. Ensuring that the research adheres to ethical standards adds credibility to your work.
• Align with Learning Objectives : Make sure that the chosen topic aligns with your course’s learning objectives and your personal academic goals. A topic that complements your academic trajectory can enhance your understanding of the field and contribute to your professional development.
• Test the Topic : Before fully committing to a topic, consider writing a brief overview or outline to test if the topic resonates with your interests and if it can be explored in depth. This preliminary exercise can help in refining the topic and ensuring that it’s suitable for an extensive research paper.

Choosing the right business management research paper topic is a critical step that requires careful consideration and thoughtful planning. By following these tips, students can navigate the vast landscape of business management research and hone in on a topic that aligns with their interests, academic requirements, and the current trends in the field.

The chosen topic should not only reflect personal curiosity but also contribute to the broader understanding of business management. Engaging with mentors, analyzing existing research, considering practical applications, and evaluating the ethical and academic alignment of the topic will enable students to embark on a rewarding research journey that resonates with both academic scholars and business professionals.

How to Write a Business Management Research Paper

Writing a business management research paper involves meticulous planning, research, analysis, and composition. A well-crafted paper should reflect an in-depth understanding of business principles, theories, practices, and their application in the real world. In this section, we’ll guide you through the process of writing a compelling and insightful business management research paper, from the initial stages of planning to the final draft.

• Understand the Assignment Requirements : Before you begin, carefully read and understand the assignment guidelines and requirements. Pay attention to the expected length, format, style, and deadlines. Knowing what’s expected ensures that you meet the specific criteria and avoid unnecessary revisions.
• Start with a Strong Thesis Statement : Your thesis statement is the central argument or claim that you’ll be supporting throughout the paper. It should be clear, concise, and specific, guiding the reader on what to expect from your research.
• Conduct Thorough Research : Invest time in conducting thorough research. Utilize academic databases, scholarly articles, textbooks, and reputable online sources. Ensure that your sources are credible, recent, and relevant to your topic.
• Create a Detailed Outline : A well-structured outline helps in organizing your thoughts, arguments, and supporting evidence. Outline each section of your paper, including the introduction, methodology, analysis, conclusion, and bibliography.
• Write the Introduction : The introduction sets the stage for your research, providing background information, context, and the rationale for your study. Clearly state the problem you are addressing, your research questions, and your thesis statement.
• Develop the Methodology : In the methodology section, describe the research methods you used, such as surveys, interviews, or case studies. Explain why you chose these methods and how they helped you gather and analyze data.
• Analyze and Discuss Your Findings : Present and analyze your findings in a logical and coherent manner. Use charts, graphs, or tables to illustrate key points. Discuss how your findings support or challenge existing theories, and provide insights into the implications for business management.
• Craft a Thoughtful Conclusion : The conclusion should summarize the key findings, restate the thesis, and discuss the broader implications of your research. Highlight any limitations and suggest areas for future research.
• Cite Your Sources Properly : Proper citation is essential for academic integrity. Use the required citation style (APA, MLA, Chicago/Turabian, Harvard) consistently throughout the paper. Create a comprehensive bibliography to list all the sources you’ve referenced.
• Revise and Edit : Spend ample time revising and editing your paper. Check for clarity, coherence, grammatical errors, and stylistic issues. Consider seeking feedback from peers, tutors, or professional editors to ensure that your paper meets high standards.
• Consider the Practical Implications : Discuss the practical implications of your findings, linking theoretical concepts with real-world business applications. Demonstrating how your research can be applied in a business context adds value to your paper.
• Adhere to Ethical Standards : Ensure that your research complies with ethical standards, particularly if you’ve used human subjects or sensitive data. Obtain necessary permissions and be transparent about your research procedures.
• Add an Executive Summary (if required) : An executive summary provides a concise overview of the entire paper and is particularly useful for papers intended for a business audience. It should highlight the main points, findings, and implications in a brief and accessible manner.

Writing a business management research paper requires careful planning, critical thinking, and meticulous execution. By following these tips, you can craft a paper that is coherent, insightful, and engaging.

Remember that a successful business management research paper not only adheres to academic standards but also resonates with professionals in the field. Invest time in understanding the topic, conducting robust research, articulating your arguments, and reflecting on the broader implications of your findings. With dedication, attention to detail, and a thoughtful approach, you’ll be well on your way to producing a research paper that stands out in both academic and business communities.

iResearchNet Writing Services

iResearchNet is proud to offer students and professionals a comprehensive suite of writing services tailored to business management research papers. Whether you’re seeking guidance on a specific topic, need assistance with the entire research process, or want a fully custom-written paper, our team of expert degree-holding writers is here to assist you. This section outlines the 13 standout features that make our services the best choice for your next business management research paper.

• Expert Degree-Holding Writers : At iResearchNet, we boast a team of seasoned writers holding advanced degrees in business management and related fields. Their expertise ensures that your paper is not only well-written but also grounded in current theories, methodologies, and industry practices.
• Custom Written Works : Our writing services are tailored to meet your specific needs. From selecting a topic to finalizing the bibliography, every aspect of the paper is customized to your preferences, guidelines, and academic requirements.
• In-Depth Research : Thorough research is the backbone of a compelling research paper. Our writers have access to premium academic databases, scholarly journals, and industry reports, enabling them to provide well-researched, evidence-based arguments that support your thesis.
• Custom Formatting : We understand the importance of formatting in academic writing. Our writers are proficient in various citation styles, including APA, MLA, Chicago/Turabian, and Harvard. Rest assured that your paper will be formatted accurately and consistently according to your instructions.
• Top Quality : Quality is paramount at iResearchNet. Our quality assurance team carefully reviews each paper for clarity, coherence, originality, and adherence to guidelines. This rigorous process ensures that you receive a top-notch paper that exceeds your expectations.
• Customized Solutions : Whether you need assistance with a particular section of your paper, require revisions, or want a completely custom-written research paper, we offer flexible solutions that align with your goals and budget.
• Flexible Pricing : We believe that quality writing services should be accessible to everyone. Our pricing structure is flexible, transparent, and competitive, allowing you to choose the best option that fits your budget without compromising quality.
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iResearchNet’s writing services for custom business management research papers combine expertise, quality, flexibility, and value to provide a seamless and rewarding experience. With a team of highly qualified writers, cutting-edge research resources, personalized support, and unwavering commitment to excellence, we are the preferred choice for students and professionals seeking top-tier writing assistance.

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How the United States Air Force Accelerated AI Adoption

In August 2022, the Pentagon tasked U.S. Air Force Captain Victor Lopez with launching a new Air Force innovation unit that leveraged commercial developers and military talent to acquire advanced technologies. Having been granted flexibility in the setup of the office, Lopez pondered the complexities of his assignment and the decisions around organizational design he would have to make. It’s often believed that only small start-up organizations can innovate, but a lot of innovation happens in big organizations, including government. Harvard Business School assistant professor Maria Roche is joined by Major Lopez to discuss the challenges of digital transformation in a large bureaucratic organization and the specific choices the U.S. Air Force needed to make when launching its AI Accelerator in her case, "Accelerating AI Adoption in the United States Air Force."

What is Business Management?

Author: University of North Dakota May 24, 2024

Business management is a key driver that helps companies achieve their goals by coordinating efforts and smoothing out the process.

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It's a crucial force that's always at work, though you might not always see it—think of it as the oil that keeps the engine of a business running smoothly.

Imagine a place where every decision is carefully considered, tasks are organized efficiently and everyone is pulling in the same direction. This is what effective business management looks like. It's all about good planning, smart organizing and strong leadership that together push a business toward success. 

Keep reading to discover more about business management, starting with the basic question, "What is business management?" and looking into how it shapes the future of companies.

Business management involves coordinating organizational activities to achieve its objectives and goals. This is done through functions such as planning, organizing, directing and controlling various aspects of operations, including finance, marketing and human resources.

Business management is distinct from business administration in that while business administration focuses on the day-to-day operations and administrative tasks within an organization, business management takes a broader view, encompassing strategic planning, leadership and decision-making processes that drive the organization forward.

The Importance of Business Management

Business management is crucial in determining an organization's success and sustainability. One of the most critical areas where effective management shines is retaining employees. Research shows that a staggering 57% of employees have left one or more companies due to poor management. Therefore, good management habits are essential for fostering a workplace culture that encourages long-term employee engagement and retention.

Additionally, effective business management significantly impacts productivity within an organization. The quality of leadership and management practices directly correlates with employee productivity levels . A supportive and inspiring leadership style motivates employees to perform at their best throughout the workday, driving higher productivity levels. 

Conversely, ineffective management practices or a toxic company culture can lead to communication breakdowns, demotivation and ultimately hindered productivity. Therefore, strong management practices are essential for optimizing employee performance and maximizing overall productivity.

Lastly, effective business management is crucial for bolstering an organization's capacity to weather challenging circumstances, such as economic recessions. During times of crisis, competent management becomes even more critical in navigating uncertainties and guiding the organization toward resilience and recovery. 

A well-equipped management team can make strategic decisions, implement cost-saving measures and adapt swiftly to changing market conditions, safeguarding the organization's stability and ensuring its long-term survival. 

Core Functions of Business Management

Effective business management encompasses several core functions essential for achieving organizational goals and driving success. Each function helps guide the organization's operations and activities toward desired outcomes and ensures overall efficiency and effectiveness.

Planning and Strategy

Firstly, planning and strategy form the foundation of effective business management. This function involves setting clear objectives and goals for the organization and developing comprehensive plans to achieve them. Strategic planning entails analyzing market trends, assessing internal capabilities and identifying opportunities for growth and innovation. 

By carefully crafting strategies and action plans, businesses can navigate uncertainties, anticipate challenges and position themselves for long-term success.

Organizing and Structuring

Organizing and structuring involve designing the organizational framework and allocating resources to facilitate the execution of plans and strategies. This function encompasses establishing reporting relationships, defining roles and responsibilities as well as creating workflows to ensure seamless employee coordination and collaboration. 

Effective organizational structure fosters clarity, efficiency and accountability within the organization, enabling teams to work cohesively toward common objectives.

Leading and Motivating

Next, leading and motivating is about inspiring and empowering employees to perform at their best and achieve organizational goals. Effective leaders set a compelling vision, communicate clear expectations and provide guidance and support to their teams. They foster a positive work culture that values teamwork, innovation and continuous improvement, thereby motivating employees to contribute their talents and efforts to the organization's success.

Controlling and Evaluating Performance

Lastly, controlling and evaluating performance involves monitoring progress, measuring outcomes and making adjustments as needed to ensure that goals are being met. This function includes establishing performance metrics, conducting regular reviews and implementing corrective actions to address any deviations from the plan. 

By maintaining oversight and accountability, businesses can identify areas for improvement, capitalize on strengths and drive continuous growth and development.

Specialized Areas of Business Management

Business management has various specialized areas encompassing multiple functions, from managing human resources and finances to overseeing marketing initiatives and optimizing operational processes. While each area has its unique focus and responsibilities, they all contribute to the organization's overall efficiency, productivity and profitability.

Human Resource Management

Human resource management (HRM) is a specialized area of business management that revolves around recruiting, developing and managing an organization's workforce. It encompasses various aspects such as total compensation, hiring processes, employee safety and wellness.

Contrary to popular belief, HRM is not solely the HR department's or individual's responsibility; rather, it is a collective effort involving all department managers who recognize the importance of effective HR practices in enabling employees to contribute effectively to the organization's overall goals and direction. In modern HRM approaches, emphasis is placed on utilizing employee programs to foster a positive impact on both staff members and the broader business.

Financial Management

Financial management encompasses a broad spectrum of financial activities, including budget planning, cash flow management and oversight of financial procedures. This facet of business management involves planning, directing and coordinating various activities such as accounting, investing, banking, insurance and securities management. 

Key elements of financial management include financial planning, financial control and financial decision-making, focusing on achieving a healthy balance between profit and risk to ensure long-term profitability. 

Financial management also entails short-term financial management, known as "working capital management," which includes cash management, inventory management and debtor management, all aimed at optimizing financial resources and maintaining profitability.

Marketing Management

Marketing management is a specialized area of business management that focuses on the practical application of marketing techniques and the strategic management of marketing resources and activities. It encompasses various aspects such as company analysis, collaborator analysis, competitor analysis, customer analysis, brand management, marketing strategy and pricing. 

Effective marketing management involves leveraging a company's resources to expand its customer base, enhance customer satisfaction and increase the company's perceived value through strategic branding and marketing initiatives tailored to meet business objectives.

Operations Management

Operations management (OM) is a specialized area of business management concerned with optimizing business practices to achieve maximum efficiency within an organization. It involves efficiently administrating processes to convert materials and labor into goods and services, thereby maximizing profits.

Operations management encompasses various strategic issues, such as determining the sizes of manufacturing plants, project management methods and information technology network structures as well as operational tasks like inventory management, quality control, materials handling and maintenance policies.

By managing resources and processes effectively, operations managers strive to balance costs with revenue to achieve optimal net operating profit and drive organizational success.

Essential Skills for Business Managers

To excel as a business manager, you'll need a diverse set of essential skills, including:

• Financial management skills
• Project management skills
• Team management skills
• Decision-making skills
• Leadership skills
• Communication skills
• Problem-solving skills
• Strategic thinking abilities
• Analytical skills
• Adaptability and flexibility

Studying Business Management

Careers in business management typically begin with obtaining a bachelor of business management degree . Such undergraduate programs provide a foundational understanding of various business principles and practices, including finance, marketing, human resources and operations management.

Beyond a bachelor's degree, individuals interested in advancing their careers in business management can pursue graduate degrees such as a Master of Business Administration (MBA) or Master of Management. These advanced degrees offer opportunities to explore specialized areas of business management and provide students with advanced knowledge, strategic thinking abilities and leadership skills essential for managerial roles in diverse industries.

Career Opportunities in Business Management

One of the key benefits of earning a business management degree is the vast array of career opportunities it opens up. Graduates with a background in business management are sought after by various industries and organizations, offering diverse career paths and advancement opportunities. Some of the potential career opportunities in business management include:

• Business analyst
• Marketing manager
• Human resources manager
• Operations manager
• Project manager
• Sales manager
• Supply chain manager
• Financial analyst
• Management consultant
• Entrepreneur or business owner

The Bottom Line

All in all, the role of a competent business manager is indispensable for the success of any organization. To excel in this field, acquiring the requisite education and training is paramount. Therefore, consider joining us at UND, where our programs empower aspiring managers with the skills and knowledge crucial for navigating the dynamic business landscape. Together, we can transform ambition into achievement. 

What do business managers do? ( Open this section)

Business managers oversee the operations of an organization, including planning, directing and coordinating various activities to achieve company goals and objectives. They are responsible for making strategic decisions, managing resources and ensuring efficient functioning across departments.

What are the four main business management strategies? ( Open this section)

The four main types of business strategies include organizational (corporate) strategy, business (competitive) strategy, functional strategy and operating strategy.

Which management salary is best? ( Open this section)

The best management salary varies depending on industry, location, experience and level of responsibility. However, chief executive officers (CEOs) are among the highest-paying management roles and they often command substantial salaries due to their leadership and strategic responsibilities.

What are the three types of business managers? ( Open this section)

The three types of business managers typically include top, middle and first-line managers. Top-level managers, such as CEOs, are responsible for setting strategic goals and direction. Middle-level managers, like department heads or regional managers, implement these strategies. First-line managers, such as supervisors or team leaders, oversee day-to-day operations and ensure tasks are carried out effectively.

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AI Is Everybody’s Business

This briefing presents three principles to guide business leaders when making AI investments: invest in practices that build capabilities required for AI, involve all your people in your AI journey, and focus on realizing value from your AI projects. The principles are supported by the MIT CISR data monetization research, and the briefing illustrates them using examples from the Australia Taxation Office and CarMax. The three principles apply to any kind of AI, defined as technology that performs human-like cognitive tasks; subsequent briefings will present management advice distinct to machine learning and generative tools, respectively.

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Any visitor to the website can read many MIT CISR Research Briefings in the webpage. But site users who have signed up on the site and are logged in can download all available briefings, plus get access to additional content. Even more content is available to members of MIT CISR member organizations .

Author Barb Wixom reads this research briefing as part of our audio edition of the series. Follow the series on SoundCloud.

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Today, everybody across the organization is hungry to know more about AI. What is it good for? Should I trust it? Will it take my job? Business leaders are investing in massive training programs, partnering with promising vendors and consultants, and collaborating with peers to identify ways to benefit from AI and avoid the risk of AI missteps. They are trying to understand how to manage AI responsibly and at scale.

Our book Data Is Everybody’s Business: The Fundamentals of Data Monetization describes how organizations make money using their data.[foot]Barbara H. Wixom, Cynthia M. Beath, and Leslie Owens, Data Is Everybody's Business: The Fundamentals of Data Monetization , (Cambridge: The MIT Press, 2023), https://mitpress.mit.edu/9780262048217/data-is-everybodys-business/ .[/foot] We wrote the book to clarify what data monetization is (the conversion of data into financial returns) and how to do it (by using data to improve work, wrap products and experiences, and sell informational solutions). AI technology’s role in this is to help data monetization project teams use data in ways that humans cannot, usually because of big complexity or scope or required speed. In our data monetization research, we have regularly seen leaders use AI effectively to realize extraordinary business goals. In this briefing, we explain how such leaders achieve big AI wins and maximize financial returns.

Using AI in Data Monetization

AI refers to the ability of machines to perform human-like cognitive tasks.[foot]See Hind Benbya, Thomas H. Davenport, and Stella Pachidi, “Special Issue Editorial: Artificial Intelligence in Organizations: Current State and Future Opportunities , ” MIS Quarterly Executive 19, no. 4 (December 2020), https://aisel.aisnet.org/misqe/vol19/iss4/4 .[/foot] Since 2019, MIT CISR researchers have been studying deployed data monetization initiatives that rely on machine learning and predictive algorithms, commonly referred to as predictive AI.[foot]This research draws on a Q1 to Q2 2019 asynchronous discussion about AI-related challenges with fifty-three data executives from the MIT CISR Data Research Advisory Board; more than one hundred structured interviews with AI professionals regarding fifty-two AI projects from Q3 2019 to Q2 2020; and ten AI project narratives published by MIT CISR between 2020 and 2023.[/foot] Such initiatives use large data repositories to recognize patterns across time, draw inferences, and predict outcomes and future trends. For example, the Australian Taxation Office (ATO) used machine learning, neural nets, and decision trees to understand citizen tax-filing behaviors and produce respectful nudges that helped citizens abide by Australia’s work-related expense policies. In 2018, the nudging resulted in AUD$113 million in changed claim amounts.[foot]I. A. Someh, B. H. Wixom, and R. W. Gregory, “The Australian Taxation Office: Creating Value with Advanced Analytics,” MIT CISR Working Paper No. 447, November 2020, https://cisr.mit.edu/publication/MIT_CISRwp447_ATOAdvancedAnalytics_SomehWixomGregory .[/foot]

In 2023, we began exploring data monetization initiatives that rely on generative AI.[foot]This research draws on two asynchronous generative AI discussions (Q3 2023, N=35; Q1 2024, N=34) regarding investments and capabilities and roles and skills, respectively, with data executives from the MIT CISR Data Research Advisory Board. It also draws on in-progress case studies with large organizations in the publishing, building materials, and equipment manufacturing industries.[/foot] This type of AI analyzes vast amounts of text or image data to discern patterns in them. Using these patterns, generative AI can create new text, software code, images, or videos, usually in response to user prompts. Organizations are now beginning to openly discuss data monetization initiative deployments that include generative AI technologies. For example, used vehicle retailer CarMax reported using OpenAI’s ChatGPT chatbot to help aggregate customer reviews and other car information from multiple data sets to create helpful, easy-to-read summaries about individual used cars for its online shoppers. At any point in time, CarMax has on average 50,000 cars on its website, so to produce such content without AI the company would require hundreds of content writers and years of time; using ChatGPT, the company’s content team can generate summaries in hours.[foot]Paula Rooney, “CarMax drives business value with GPT-3.5,” CIO , May 5, 2023, https://www.cio.com/article/475487/carmax-drives-business-value-with-gpt-3-5.html ; Hayete Gallot and Shamim Mohammad, “Taking the car-buying experience to the max with AI,” January 2, 2024, in Pivotal with Hayete Gallot, produced by Larj Media, podcast, MP3 audio, https://podcasts.apple.com/us/podcast/taking-the-car-buying-experience-to-the-max-with-ai/id1667013760?i=1000640365455 .[/foot]

Big advancements in machine learning, generative tools, and other AI technologies inspire big investments when leaders believe the technologies can help satisfy pent-up demand for solutions that previously seemed out of reach. However, there is a lot to learn about novel technologies before we can properly manage them. In this year’s MIT CISR research, we are studying predictive and generative AI from several angles. This briefing is the first in a series; in future briefings we will present management advice specific to machine learning and generative tools. For now, we present three principles supported by our data monetization research to guide business leaders when making AI investments of any kind: invest in practices that build capabilities required for AI, involve all your people in your AI journey, and focus on realizing value from your AI projects.

Principle 1: Invest in Practices That Build Capabilities Required for AI

Succeeding with AI depends on having deep data science skills that help teams successfully build and validate effective models. In fact, organizations need deep data science skills even when the models they are using are embedded in tools and partner solutions, including to evaluate their risks; only then can their teams make informed decisions about how to incorporate AI effectively into work practices. We worry that some leaders view buying AI products from providers as an opportunity to use AI without deep data science skills; we do not advise this.

But deep data science skills are not enough. Leaders often hire new talent and offer AI literacy training without making adequate investments in building complementary skills that are just as important. Our research shows that an organization’s progress in AI is dependent on having not only an advanced data science capability, but on having equally advanced capabilities in data management, data platform, acceptable data use, and customer understanding.[foot]In the June 2022 MIT CISR research briefing, we described why and how organizations build the five advanced data monetization capabilities for AI. See B. H. Wixom, I. A. Someh, and C. M. Beath, “Building Advanced Data Monetization Capabilities for the AI-Powered Organization,” MIT CISR Research Briefing, Vol. XXII, No. 6, June 2022, https://cisr.mit.edu/publication/2022_0601_AdvancedAICapabilities_WixomSomehBeath .[/foot] Think about it. Without the ability to curate data (an advanced data management capability), teams cannot effectively incorporate a diverse set of features into their models. Without the ability to oversee the legality and ethics of partners’ data use (an advanced acceptable data use capability), teams cannot responsibly deploy AI solutions into production.

It’s no surprise that ATO’s AI journey evolved in conjunction with the organization’s Smarter Data Program, which ATO established to build world-class data analytics capabilities, and that CarMax emphasizes that its governance, talent, and other data investments have been core to its generative AI progress.

Capabilities come mainly from learning by doing, so they are shaped by new practices in the form of training programs, policies, processes, or tools. As organizations undertake more and more sophisticated practices, their capabilities get more robust. Do invest in AI training—but also invest in practices that will boost the organization’s ability to manage data (such as adopting a data cataloging tool), make data accessible cost effectively (such as adopting cloud policies), improve data governance (such as establishing an ethical oversight committee), and solidify your customer understanding (such as mapping customer journeys). In particular, adopt policies and processes that will improve your data governance, so that data is only used in AI initiatives in ways that are consonant with your organization's values and its regulatory environment.

Principle 2: Involve All Your People in Your AI Journey

Data monetization initiatives require a variety of stakeholders—people doing the work, developing products, and offering solutions—to inform project requirements and to ensure the adoption and confident use of new data tools and behaviors.[foot]Ida Someh, Barbara Wixom, Michael Davern, and Graeme Shanks, “Configuring Relationships between Analytics and Business Domain Groups for Knowledge Integration, ” Journal of the Association for Information Systems 24, no. 2 (2023): 592-618, https://cisr.mit.edu/publication/configuring-relationships-between-analytics-and-business-domain-groups-knowledge .[/foot] With AI, involving a variety of stakeholders in initiatives helps non-data scientists become knowledgeable about what AI can and cannot do, how long it takes to deliver certain kinds of functionality, and what AI solutions cost. This, in turn, helps organizations in building trustworthy models, an important AI capability we call AI explanation (AIX).[foot]Ida Someh, Barbara H. Wixom, Cynthia M. Beath, and Angela Zutavern, “Building an Artificial Intelligence Explanation Capability,” MIS Quarterly Executive 21, no. 2 (2022), https://cisr.mit.edu/publication/building-artificial-intelligence-explanation-capability .[/foot]

For example, at ATO, data scientists educated business colleagues on the mechanics and results of models they created. Business colleagues provided feedback on the logic used in the models and helped to fine-tune them, and this interaction helped everyone understand how the AI made decisions. The data scientists provided their model results to ATO auditors, who also served as a feedback loop to the data scientists for improving the model. The data scientists regularly reported on initiative progress to senior management, regulators, and other stakeholders, which ensured that the AI team was proactively creating positive benefits without neglecting negative external factors that might surface.

Given the consumerization of generative AI tools, we believe that pervasive worker involvement in ideating, building, refining, using, and testing AI models and tools will become even more crucial to deploying fruitful AI projects—and building trust that AI will do the right thing in the right way at the right time.

Principle 3: Focus on Realizing Value From Your AI Projects

AI is costly—just add up your organization’s expenses in tools, talent, and training. AI needs to pay off, yet some organizations become distracted with endless experimentation. Others get caught up in finding the sweet spot of the technology, ignoring the sweet spot of their business model. For example, it is easy to become enamored of using generative AI to improve worker productivity, rolling out tools for employees to write better emails and capture what happened in meetings. But unless those activities materially impact how your organization makes money, there likely are better ways to spend your time and money.

Leaders with data monetization experience will make sure their AI projects realize value in the form of increased revenues or reduced expenses by backing initiatives that are clearly aligned with real challenges and opportunities. That is step one. In our research, the leaders that realize value from their data monetization initiatives measure and track their outcomes, especially their financial outcomes, and they hold someone accountable for achieving the desired financial returns. At CarMax, a cross-functional team owned the mission to provide better website information for used car shoppers, a mission important to the company’s sales goals. Starting with sales goals in mind, the team experimented with and then chose a generative AI solution that would enhance the shopper experience and increase sales.

Figure 1: Three Principles for Getting Value from AI Investments

The three principles are based on the following concepts from MIT CISR data research: 1. Data liquidity: the ease of data asset recombination and reuse 2. Data democracy: an organization that empowers employees in the access and use of data 3. Data monetization: the generation of financial returns from data assets

Managing AI Using a Data Monetization Mindset

AI has and always will play a big role in data monetization. It’s not a matter of whether to incorporate AI, but a matter of how to best use it. To figure this out, quantify the outcomes of some of your organization’s recent AI projects. How much money has the organization realized from them? If the answer disappoints, then make sure the AI technology value proposition is a fit for your organization’s most important goals. Then assign accountability for ensuring that AI technology is applied in use cases that impact your income statements. If the AI technology is not a fit for your organization, then don’t be distracted by media reports of the AI du jour.

Understanding your AI technology investments can be hard if your organization is using AI tools that are bundled in software you purchase or are built for you by a consultant. To set yourself up for success, ask your partners to be transparent with you about the quality of data they used to train their AI models and the data practices they relied on. Do their answers persuade you that their tools are trustworthy? Is it obvious that your partner is using data compliantly and is safeguarding the model from producing bad or undesired outcomes? If so, make sure this good news is shared with the people in your organization and those your organization serves. If not, rethink whether to break with your partner and find another way to incorporate the AI technology into your organization, such as by hiring people to build it in-house.

To paraphrase our book’s conclusion: When people actively engage in data monetization initiatives using AI , they learn, and they help their organization learn. Their engagement creates momentum that initiates a virtuous cycle in which people’s engagement leads to better data and more bottom-line value, which in turn leads to new ideas and more engagement, which further improves data and delivers more value, and so on. Imagine this happening across your organization as all people everywhere make it their business to find ways to use AI to monetize data.

This is why AI, like data, is everybody’s business.

© 2024 MIT Center for Information Systems Research, Wixom and Beath. MIT CISR Research Briefings are published monthly to update the center’s member organizations on current research projects.

Related Publications

Talking Points

Ai, like data, is everybody's business.

Working Paper: Vignette

The australian taxation office: creating value with advanced analytics.

Research Briefing

Building advanced data monetization capabilities for the ai-powered organization.

Building AI Explanation Capability for the AI-Powered Organization

What is Data Monetization?

About the researchers.

Barbara H. Wixom, Principal Research Scientist, MIT Center for Information Systems Research (CISR)

Cynthia M. Beath, Professor Emerita, University of Texas and Academic Research Fellow, MIT CISR

Mit center for information systems research (cisr).

Founded in 1974 and grounded in MIT's tradition of combining academic knowledge and practical purpose, MIT CISR helps executives meet the challenge of leading increasingly digital and data-driven organizations. We work directly with digital leaders, executives, and boards to develop our insights. Our consortium forms a global community that comprises more than seventy-five organizations.

MIT CISR Associate Members

MIT CISR wishes to thank all of our associate members for their support and contributions.

MIT CISR's Mission Expand

MIT CISR helps executives meet the challenge of leading increasingly digital and data-driven organizations. We provide insights on how organizations effectively realize value from approaches such as digital business transformation, data monetization, business ecosystems, and the digital workplace. Founded in 1974 and grounded in MIT’s tradition of combining academic knowledge and practical purpose, we work directly with digital leaders, executives, and boards to develop our insights. Our consortium forms a global community that comprises more than seventy-five organizations.

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