research papers in financial management

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• 22 Apr 2024
• Research & Ideas

When Does Impact Investing Make the Biggest Impact?

More investors want to back businesses that contribute to social change, but are impact funds the only approach? Research by Shawn Cole, Leslie Jeng, Josh Lerner, Natalia Rigol, and Benjamin Roth challenges long-held assumptions about impact investing and reveals where such funds make the biggest difference.

• 23 Jan 2024

More Than Memes: NFTs Could Be the Next Gen Deed for a Digital World

Non-fungible tokens might seem like a fad approach to selling memes, but the concept could help companies open new markets and build communities. Scott Duke Kominers and Steve Kaczynski go beyond the NFT hype in their book, The Everything Token.

• 12 Sep 2023

How Can Financial Advisors Thrive in Shifting Markets? Diversify, Diversify, Diversify

Financial planners must find new ways to market to tech-savvy millennials and gen Z investors or risk irrelevancy. Research by Marco Di Maggio probes the generational challenges that advisory firms face as baby boomers retire. What will it take to compete in a fintech and crypto world?

• 17 Aug 2023

‘Not a Bunch of Weirdos’: Why Mainstream Investors Buy Crypto

Bitcoin might seem like the preferred tender of conspiracy theorists and criminals, but everyday investors are increasingly embracing crypto. A study of 59 million consumers by Marco Di Maggio and colleagues paints a shockingly ordinary picture of today's cryptocurrency buyer. What do they stand to gain?

• 17 Jul 2023

Money Isn’t Everything: The Dos and Don’ts of Motivating Employees

Dangling bonuses to checked-out employees might only be a Band-Aid solution. Brian Hall shares four research-based incentive strategies—and three perils to avoid—for leaders trying to engage the post-pandemic workforce.

• 20 Jun 2023
• Cold Call Podcast

Elon Musk’s Twitter Takeover: Lessons in Strategic Change

In late October 2022, Elon Musk officially took Twitter private and became the company’s majority shareholder, finally ending a months-long acquisition saga. He appointed himself CEO and brought in his own team to clean house. Musk needed to take decisive steps to succeed against the major opposition to his leadership from both inside and outside the company. Twitter employees circulated an open letter protesting expected layoffs, advertising agencies advised their clients to pause spending on Twitter, and EU officials considered a broader Twitter ban. What short-term actions should Musk take to stabilize the situation, and how should he approach long-term strategy to turn around Twitter? Harvard Business School assistant professor Andy Wu and co-author Goran Calic, associate professor at McMaster University’s DeGroote School of Business, discuss Twitter as a microcosm for the future of media and information in their case, “Twitter Turnaround and Elon Musk.”

• 06 Jun 2023

The Opioid Crisis, CEO Pay, and Shareholder Activism

In 2020, AmerisourceBergen Corporation, a Fortune 50 company in the drug distribution industry, agreed to settle thousands of lawsuits filed nationwide against the company for its opioid distribution practices, which critics alleged had contributed to the opioid crisis in the US. The $6.6 billion global settlement caused a net loss larger than the cumulative net income earned during the tenure of the company’s CEO, which began in 2011. In addition, AmerisourceBergen’s legal and financial troubles were accompanied by shareholder demands aimed at driving corporate governance changes in companies in the opioid supply chain. Determined to hold the company’s leadership accountable, the shareholders launched a campaign in early 2021 to reject the pay packages of executives. Should the board reduce the executives’ pay, as of means of improving accountability? Or does punishing the AmerisourceBergen executives for paying the settlement ignore the larger issue of a business’s responsibility to society? Harvard Business School professor Suraj Srinivasan discusses executive compensation and shareholder activism in the context of the US opioid crisis in his case, “The Opioid Settlement and Controversy Over CEO Pay at AmerisourceBergen.”

• 16 May 2023
• In Practice

After Silicon Valley Bank's Flameout, What's Next for Entrepreneurs?

Silicon Valley Bank's failure in the face of rising interest rates shook founders and funders across the country. Julia Austin, Jeffrey Bussgang, and Rembrand Koning share key insights for rattled entrepreneurs trying to make sense of the financing landscape.

• 27 Apr 2023

Equity Bank CEO James Mwangi: Transforming Lives with Access to Credit

James Mwangi, CEO of Equity Bank, has transformed lives and livelihoods throughout East and Central Africa by giving impoverished people access to banking accounts and micro loans. He’s been so successful that in 2020 Forbes coined the term “the Mwangi Model.” But can we really have both purpose and profit in a firm? Harvard Business School professor Caroline Elkins, who has spent decades studying Africa, explores how this model has become one that business leaders are seeking to replicate throughout the world in her case, “A Marshall Plan for Africa': James Mwangi and Equity Group Holdings.” As part of a new first-year MBA course at Harvard Business School, this case examines the central question: what is the social purpose of the firm?

• 25 Apr 2023

Using Design Thinking to Invent a Low-Cost Prosthesis for Land Mine Victims

Bhagwan Mahaveer Viklang Sahayata Samiti (BMVSS) is an Indian nonprofit famous for creating low-cost prosthetics, like the Jaipur Foot and the Stanford-Jaipur Knee. Known for its patient-centric culture and its focus on innovation, BMVSS has assisted more than one million people, including many land mine survivors. How can founder D.R. Mehta devise a strategy that will ensure the financial sustainability of BMVSS while sustaining its human impact well into the future? Harvard Business School Dean Srikant Datar discusses the importance of design thinking in ensuring a culture of innovation in his case, “BMVSS: Changing Lives, One Jaipur Limb at a Time.”

• 18 Apr 2023

What Happens When Banks Ditch Coal: The Impact Is 'More Than Anyone Thought'

Bank divestment policies that target coal reduced carbon dioxide emissions, says research by Boris Vallée and Daniel Green. Could the finance industry do even more to confront climate change?

The Best Person to Lead Your Company Doesn't Work There—Yet

Recruiting new executive talent to revive portfolio companies has helped private equity funds outperform major stock indexes, says research by Paul Gompers. Why don't more public companies go beyond their senior executives when looking for top leaders?

• 11 Apr 2023

A Rose by Any Other Name: Supply Chains and Carbon Emissions in the Flower Industry

Headquartered in Kitengela, Kenya, Sian Flowers exports roses to Europe. Because cut flowers have a limited shelf life and consumers want them to retain their appearance for as long as possible, Sian and its distributors used international air cargo to transport them to Amsterdam, where they were sold at auction and trucked to markets across Europe. But when the Covid-19 pandemic caused huge increases in shipping costs, Sian launched experiments to ship roses by ocean using refrigerated containers. The company reduced its costs and cut its carbon emissions, but is a flower that travels halfway around the world truly a “low-carbon rose”? Harvard Business School professors Willy Shih and Mike Toffel debate these questions and more in their case, “Sian Flowers: Fresher by Sea?”

Is Amazon a Retailer, a Tech Firm, or a Media Company? How AI Can Help Investors Decide

More companies are bringing seemingly unrelated businesses together in new ways, challenging traditional stock categories. MarcAntonio Awada and Suraj Srinivasan discuss how applying machine learning to regulatory data could reveal new opportunities for investors.

• 07 Apr 2023

When Celebrity ‘Crypto-Influencers’ Rake in Cash, Investors Lose Big

Kim Kardashian, Lindsay Lohan, and other entertainers have been accused of promoting crypto products on social media without disclosing conflicts. Research by Joseph Pacelli shows what can happen to eager investors who follow them.

• 31 Mar 2023

Can a ‘Basic Bundle’ of Health Insurance Cure Coverage Gaps and Spur Innovation?

One in 10 people in America lack health insurance, resulting in $40 billion of care that goes unpaid each year. Amitabh Chandra and colleagues say ensuring basic coverage for all residents, as other wealthy nations do, could address the most acute needs and unlock efficiency.

• 23 Mar 2023

As Climate Fears Mount, More Investors Turn to 'ESG' Funds Despite Few Rules

Regulations and ratings remain murky, but that's not deterring climate-conscious investors from paying more for funds with an ESG label. Research by Mark Egan and Malcolm Baker sizes up the premium these funds command. Is it time for more standards in impact investing?

• 14 Mar 2023

What Does the Failure of Silicon Valley Bank Say About the State of Finance?

Silicon Valley Bank wasn't ready for the Fed's interest rate hikes, but that's only part of the story. Victoria Ivashina and Erik Stafford probe the complex factors that led to the second-biggest bank failure ever.

• 13 Mar 2023

What Would It Take to Unlock Microfinance's Full Potential?

Microfinance has been seen as a vehicle for economic mobility in developing countries, but the results have been mixed. Research by Natalia Rigol and Ben Roth probes how different lending approaches might serve entrepreneurs better.

• 16 Feb 2023

ESG Activists Met the Moment at ExxonMobil, But Did They Succeed?

Engine No. 1, a small hedge fund on a mission to confront climate change, managed to do the impossible: Get dissident members on ExxonMobil's board. But lasting social impact has proved more elusive. Case studies by Mark Kramer, Shawn Cole, and Vikram Gandhi look at the complexities of shareholder activism.

Financial Management Research Paper Topics

Financial management research paper topics have emerged as an essential part of contemporary education in business and economics. As financial management continues to evolve with global economic changes, the need for research and analysis in this area grows. This article provides a comprehensive guide for students who study management and are assigned to write research papers on various aspects of financial management. From understanding the diverse topics to learning how to write an impactful research paper, this page offers valuable insights. Additionally, it introduces iResearchNet’s writing services, specifically tailored to assist students in achieving academic excellence. The content is structured to guide students through topic selection, writing, and leveraging professional services to meet their academic goals. Whether a novice or an advanced student of financial management, this resource offers a multifaceted perspective on the vast and dynamic field of financial management research.

100 Financial Management Research Paper Topics

The field of financial management offers a vast array of research paper topics. This complex discipline touches every aspect of business operations, influencing strategic planning, decision-making, and organizational growth. Below, you will find a comprehensive list of financial management research paper topics, divided into 10 categories. Each category offers 10 unique topics that cater to various interests within financial management. These topics have been carefully selected to reflect the richness and diversity of the subject.

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Get 10% off with 24start discount code, financial planning and control.

• The Role of Budgeting in Financial Planning
• Strategic Financial Management in SMEs
• The Impact of Working Capital Management on Profitability
• Ethical Considerations in Financial Planning
• Risk Management in Financial Planning
• Cost Control Techniques in Manufacturing
• Financial Decision-making Processes in Non-profit Organizations
• The Impact of Inflation on Financial Planning
• International Financial Planning Strategies
• The Relationship between Corporate Governance and Financial Planning

Investment Analysis and Portfolio Management

• The Efficient Market Hypothesis: A Critical Analysis
• The Role of Behavioral Finance in Investment Decisions
• Modern Portfolio Theory and Its Limitations
• Risk and Return Analysis in Emerging Markets
• Socially Responsible Investment Strategies
• The Impact of Political Instability on Investment Decisions
• Real Estate Investment Trusts (REITs): An In-depth Study
• Impact of Technology on Portfolio Management
• Mutual Funds vs. ETFs: A Comparative Study
• The Role of Artificial Intelligence in Investment Management

Corporate Finance

• Capital Structure Decisions in Startups
• The Role of Dividends in Corporate Financial Management
• Mergers and Acquisitions: Strategic Financial Analysis
• Corporate Financing in Developing Economies
• An Analysis of Venture Capital Financing
• The Impact of Corporate Social Responsibility on Financial Performance
• The Role of Financial Management in Business Turnaround Strategies
• Debt Financing vs. Equity Financing: A Comparative Analysis
• Corporate Financial Risk Management Strategies
• Financing Innovation: Challenges and Opportunities

International Financial Management

• Exchange Rate Dynamics and International Financial Decisions
• The Role of International Financial Institutions in Economic Development
• Cross-border Mergers and Acquisitions
• Globalization and Its Impact on Financial Management
• International Tax Planning Strategies
• Challenges in Managing International Financial Risk
• Currency Risk Management in Multinational Corporations
• International Capital Budgeting Decisions
• The Impact of Cultural Differences on International Financial Management
• Foreign Direct Investment Strategies and Financial Management

Financial Markets and Institutions

• The Role of Central Banks in Financial Stability
• The Evolution of Microfinance Institutions
• The Impact of Regulation on Banking Operations
• An Analysis of Stock Market Efficiency
• Financial Derivatives and Risk Management
• The Role of Technology in Financial Services
• A Study of Financial Crises and Regulatory Responses
• Peer-to-Peer Lending Platforms: A New Paradigm
• The Role of Credit Rating Agencies in Financial Markets
• The Future of Cryptocurrency in the Financial Landscape

Personal Finance Management

• Financial Literacy and Personal Investment Decisions
• The Role of Technology in Personal Finance Management
• Retirement Planning Strategies
• Impact of Consumer Behavior on Personal Financial Decisions
• Personal Finance Management in the Gig Economy
• A Study of Personal Bankruptcy Trends
• Credit Card Management Strategies for Individuals
• The Effect of Education on Personal Financial Management
• The Role of Financial Counseling in Personal Finance
• Estate Planning: A Comprehensive Analysis

Risk Management

• Enterprise Risk Management: A Strategic Approach
• The Role of Insurance in Financial Risk Management
• Financial Innovations in Risk Management
• A Study of Credit Risk Management in Banks
• Risk Management Strategies in Supply Chain Finance
• Cyber Risk Management in Financial Institutions
• The Impact of Climate Change on Financial Risks
• A Study of Operational Risk Management in the Healthcare Sector
• Behavioral Aspects of Risk Management
• Crisis Management and Financial Stability

Financial Technology (FinTech)

• The Rise of Blockchain Technology in Finance
• The Impact of FinTech on Traditional Banking
• Regulatory Challenges in the Age of FinTech
• Financial Inclusion through FinTech Innovation
• Artificial Intelligence in Financial Services
• The Future of Cryptocurrencies: Opportunities and Risks
• A Study of Peer-to-Peer Lending Platforms
• FinTech and Consumer Privacy: Ethical Considerations
• Mobile Banking: An Evolutionary Study
• The Role of Big Data Analytics in Financial Decision Making

Ethics and Sustainability in Finance

• Ethical Investing: Trends and Challenges
• Corporate Social Responsibility Reporting in Finance
• Sustainable Finance in Emerging Economies
• Environmental, Social, and Governance (ESG) Criteria in Investment
• The Impact of Business Ethics on Financial Performance
• The Role of Sustainability in Corporate Financial Strategy
• Green Bonds and Financing Sustainable Development
• Social Impact Investing: Opportunities and Challenges
• A Study of Gender Equality in Financial Institutions
• Financial Strategies for Achieving Sustainable Development Goals

Accounting and Finance

• Forensic Accounting: Techniques and Case Studies
• The Role of Management Accounting in Financial Decision-making
• International Financial Reporting Standards (IFRS) Adoption
• The Impact of Taxation on Financial Management
• Accounting Information Systems: An In-depth Analysis
• The Role of Auditing in Corporate Governance
• Accounting Ethics: A Study of Professional Conduct
• Environmental Accounting and Sustainable Development
• The Effect of Automation on Accounting Practices
• A Comparative Study of GAAP and IFRS

The extensive list above offers a broad spectrum of financial management research paper topics. They cater to different academic levels and areas of interest, providing a wealth of opportunities for students to explore the multi-dimensional world of financial management. The selection of these topics can lead to exciting discoveries and insights, pushing the boundaries of existing knowledge in the field. Whether it’s understanding the intricate dynamics of global finance or delving into the ethical considerations in investment decisions, these topics serve as starting points for thought-provoking research that can shape future practices in financial management. By choosing a topic from this comprehensive list, students embark on a journey of intellectual exploration that can contribute to both academic success and the broader understanding of financial management in the modern world.

Financial Management and the Range of Research Paper Topics

Financial management is a multifaceted discipline that stands at the intersection of economics, business administration, and finance. It governs the planning, organizing, directing, and controlling of financial activities within an organization or individual framework. In an ever-changing global economy, the importance of financial management cannot be overstated. It empowers organizations and individuals to make informed decisions, manage risks, and achieve financial stability and growth. This article delves into the vast domain of financial management and explores the wide array of research paper topics it offers.

A. Definition and Core Concepts of Financial Management

Financial management refers to the efficient and effective management of money to achieve specific objectives. It involves processes and tasks such as budgeting, forecasting, investment analysis, risk management, and financial reporting. The primary goals are to maximize shareholder value, ensure liquidity, and maintain solvency.

• Budgeting and Forecasting : These processes involve planning and estimating future financial needs and outcomes. They guide decision-making and help in aligning resources with organizational goals.
• Investment Analysis : This includes evaluating investment opportunities and determining the most profitable and sustainable investments.
• Risk Management : This aspect focuses on identifying, evaluating, and mitigating financial risks, including market risk, credit risk, and operational risk.
• Financial Reporting : This entails the preparation and presentation of financial statements that accurately reflect the financial position of an organization.

B. Importance of Financial Management

• Ensuring Financial Stability : Effective financial management helps in maintaining the financial health of an organization or individual by ensuring a balance between income and expenditure.
• Optimizing Resources : It enables the optimal utilization of resources by aligning them with short-term and long-term goals.
• Strategic Planning : Financial management plays a key role in strategic planning by providing insights into financial capabilities and constraints.
• Enhancing Profitability : By making informed investment and operational decisions, financial management enhances the profitability of an organization.

C. Modern Trends and Challenges in Financial Management

The evolution of technology, globalization, regulatory changes, and societal expectations have shaped modern financial management. Some noteworthy trends and challenges include:

• Financial Technology (FinTech) : The integration of technology into financial services has revolutionized banking, investing, and risk management.
• Globalization : The interconnectedness of global markets presents both opportunities and challenges in managing international financial operations.
• Sustainability and Ethics : The growing focus on environmental, social, and governance (ESG) criteria has led to ethical investing and sustainable finance.
• Regulatory Compliance : Navigating the complex regulatory landscape is a challenge that requires constant adaptation and vigilance.

D. Range of Research Paper Topics in Financial Management

The vastness of financial management offers a rich source of research paper topics. From exploring the intricacies of investment analysis to understanding the ethical dimensions of finance, the possibilities are endless. The following are some broad categories:

• Corporate Finance : Topics related to capital structure, mergers and acquisitions, dividend policies, and more.
• Investment and Portfolio Management : Including research on investment strategies, portfolio optimization, risk and return analysis, etc.
• International Financial Management : This encompasses studies on exchange rate dynamics, global financial strategies, cross-border investments, etc.
• Risk Management : Topics include various risk management techniques, insurance, financial innovations in risk management, etc.
• Personal Finance Management : This field covers financial planning for individuals, retirement strategies, credit management, etc.
• Financial Technology : Blockchain, cryptocurrencies, mobile banking, and more fall under this innovative domain.
• Ethics and Sustainability in Finance : Research in this area may focus on ethical investing, corporate social responsibility, green financing, etc.

Financial management is an expansive and dynamic field that intertwines various elements of finance, economics, and business administration. Its importance in today’s world is immense, given the complexities of the global financial system. The array of research paper topics that this subject offers is indicative of its diversity and depth.

From traditional concepts like budgeting and investment analysis to modern phenomena like FinTech and sustainability, the world of financial management continues to evolve. It invites scholars, practitioners, and students to explore, question, and contribute to its understanding.

The range of research paper topics in financial management offers avenues for academic inquiry and practical application. Whether it’s investigating the effects of globalization on financial strategies or exploring personal finance management in the gig economy, there’s a topic to spark curiosity and inspire research. These research endeavors not only enrich academic literature but also play a crucial role in shaping the future of financial management. In a rapidly changing world, continuous exploration and learning in this field are essential to remain relevant, innovative, and responsible.

How to Choose Financial Management Research Paper Topics

Choosing the right research paper topic in the field of financial management is a critical step in the research process. The chosen topic can shape the direction, depth, and impact of the research. Given the wide array of subfields within financial management, selecting a suitable topic can be both exciting and challenging. Here’s a comprehensive guide to assist you in choosing the ideal financial management research paper topic.

1. Understand Your Interest and Strengths

• Assess Your Interests : Consider what aspects of financial management intrigue you the most. Your enthusiasm for a subject can greatly enhance the research process.
• Identify Your Strengths : Understanding where your skills and knowledge lie can guide you towards a topic that you can explore competently.
• Connect with Real-world Issues : Relating your interests to current industry challenges or trends can make your research more relevant and engaging.

2. Consider the Scope and Depth

• Define the Scope : A clear understanding of the scope helps in keeping the research focused. Too broad a topic can make the research vague, while too narrow may limit your exploration.
• Determine the Depth : Decide how deep you want to delve into the topic. Some subjects may require extensive quantitative analysis, while others may be more theoretical.

3. Examine Academic and Industry Relevance

• Align with Academic Requirements : Ensure that the topic aligns with your course objectives and academic requirements.
• Analyze Industry Needs : Consider how your research could contribute to the industry or address specific financial management challenges.

4. Evaluate Available Resources and Data

• Assess Data Accessibility : Ensure that you can access the necessary data and information to conduct your research.
• Consider Resource Limitations : Be mindful of the time, financial, and technological resources that you’ll need to complete your research.

5. Review Existing Literature

• Analyze Previous Research : Review related literature to identify gaps, controversies, or emerging trends that you can explore.
• Avoid Duplication : Ensure that your chosen topic is unique and not merely a repetition of existing studies.

6. Consult with Experts and Peers

• Seek Guidance from Faculty : Consulting with faculty or mentors can provide valuable insights and direction.
• Collaborate with Peers : Discussions with classmates or colleagues can help in refining ideas and getting diverse perspectives.

7. Consider Ethical Implications

• Evaluate Ethical Considerations : Ensure that your research complies with ethical guidelines, especially if it involves human subjects or sensitive data.
• Reflect on Social Impact : Consider how your research might influence society, policy, or industry standards.

8. Test the Feasibility

• Conduct a Preliminary Study : A small-scale preliminary study or analysis can help in gauging the feasibility of the research.
• Set Realistic Goals : Ensure that your research objectives are achievable within the constraints of time, resources, and expertise.

9. Align with Career Goals

• Consider Future Applications : Think about how this research might align with your career goals or professional development.
• Build on Past Experience : Leveraging your past experiences or projects can lend depth and continuity to your research.

10. Stay Flexible and Adaptable

• Be Open to Change : Research is often an iterative process; being flexible allows for adaptation as new insights or challenges emerge.
• Maintain a Balanced Perspective : While focusing on your chosen topic, keep an open mind to interrelated areas that might enrich your research.

Choosing the right financial management research paper topic is a nuanced process that requires careful consideration of various factors. From understanding personal interests and academic needs to evaluating resources, ethics, and feasibility, each aspect plays a significant role in shaping the research journey.

By following this comprehensive guide, students can navigate the complexities of selecting a suitable research paper topic in financial management. The ultimate goal is to find a topic that resonates with one’s interests, aligns with academic and professional objectives, and contributes meaningfully to the field of financial management. Whether delving into the dynamics of risk management or exploring the impact of FinTech innovations, the chosen topic should be a catalyst for inquiry, creativity, and growth.

How to Write a Financial Management Research Paper

Writing a research paper on financial management is a rigorous process that demands a thorough understanding of financial concepts, analytical skills, and adherence to academic standards. From selecting the right topic to presenting the final piece, each step must be methodically planned and executed. This section provides a comprehensive guide to help students craft an impactful financial management research paper.

1. Understand the Assignment

• Read the Guidelines : Begin by understanding the specific requirements of the assignment, including formatting, length, deadlines, and the expected structure.
• Clarify Doubts : If any aspect of the assignment is unclear, seek clarification from your instructor or mentor to avoid mistakes.

2. Choose a Strong Topic

• Identify Your Interest : Select a topic that interests you, aligns with your strengths, and meets academic and industry relevance. Refer to the previous section for detailed guidelines on choosing a topic.

3. Conduct Extensive Research

• Explore Varied Sources : Use academic journals, textbooks, online databases, and industry reports to gather diverse perspectives and evidence.
• Evaluate the Credibility : Ensure that the sources are credible, relevant, and up-to-date.
• Organize Your Findings : Maintain well-organized notes, including source citations, to facilitate smooth writing later.

4. Develop a Thesis Statement

• Define Your Focus : Craft a clear and concise thesis statement that outlines the central argument or purpose of your research.
• Align with the Evidence : Ensure that your thesis is well-supported by the evidence you have gathered.

5. Create an Outline

• Structure Your Paper : Plan the structure of your paper, including the introduction, body, and conclusion.
• Organize Ideas : Arrange your ideas, arguments, and evidence logically within the outline.

6. Write a Compelling Introduction

• Introduce the Topic : Provide background information and context to the reader.
• Present the Thesis : Clearly state your thesis to guide the reader through your research.
• Engage the Reader : Use compelling language to create interest in your study.

7. Develop the Body of the Paper

• Present Your Arguments : Use clear and concise paragraphs to present each main idea or argument.
• Support with Evidence : Include relevant data, charts, graphs, or quotations to support your claims.
• Use Subheadings : Subheadings can help in organizing the content and making it more reader-friendly.

8. Include Financial Analysis

• Apply Financial Models : Use relevant financial models, theories, or frameworks that pertain to your topic.
• Perform Quantitative Analysis : Utilize statistical tools, if necessary, to analyze financial data.
• Interpret the Results : Ensure that you not only present the numbers but also interpret what they mean in the context of your research.

9. Write a Thoughtful Conclusion

• Summarize Key Points : Recap the main arguments and findings of your paper.
• Restate the Thesis : Reiterate your thesis in light of the evidence presented.
• Provide Insights : Offer insights, implications, or recommendations based on your research.

10. Revise and Edit

• Review for Clarity : Read through the paper to ensure that the ideas flow logically and the arguments are well-articulated.
• Check for Errors : Look for grammatical, spelling, and formatting errors.
• Seek Feedback : Consider getting feedback from peers, tutors, or mentors to enhance the quality of your paper.

11. Follow Formatting Guidelines

• Adhere to Citation Style : Follow the required citation style (APA, MLA, etc.) consistently throughout the paper.
• Include a Bibliography : List all the references used in the research in a properly formatted bibliography.
• Add Appendices if Needed : Include any supplementary material like data sets or additional calculations in the appendices.

Writing a financial management research paper is a complex task that demands meticulous planning, diligent research, critical analysis, and clear communication. By adhering to these detailed guidelines, students can craft a research paper that not only meets academic standards but also contributes to the understanding of intricate financial management concepts.

Whether exploring investment strategies, corporate finance, or financial risk management, a well-crafted research paper showcases one’s analytical capabilities, comprehension of financial principles, and the ability to apply theoretical knowledge to real-world scenarios. It is an invaluable exercise in intellectual exploration and professional development within the realm of financial management.

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• Expert Degree-Holding Writers : Our team comprises handpicked writers, each holding degrees in finance or related fields. They come with a wealth of experience in academic writing, industry exposure, and a deep understanding of financial management concepts. They have the expertise to delve into complex topics and transform them into comprehensive, high-quality research papers.
• Custom Written Works : At iResearchNet, we believe every assignment is unique. We offer bespoke services, writing each paper from scratch, ensuring it matches your specific requirements and academic level. Our writers create well-structured, argumentative, and analytically sound papers that reflect original thinking.
• In-Depth Research : We recognize the importance of thorough research in crafting a superior financial management paper. Our writers dive deep into a variety of resources, extracting relevant information, data, and insights to ensure that your paper is rich in content, evidential support, and critical analysis.
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A conceptual framework proposed through literature review to determine the dimensions of social transparency in global supply chains

• Published: 16 May 2024

Cite this article

• Preethi Raja 1 &
• Usha Mohan   ORCID: orcid.org/0000-0003-2161-7600 1  

The current focus in supply chain management (SCM) research revolves around the relationship between sustainability and supply chain transparency (SCT). Despite the three pillars of sustainability – environmental, social, and economic- the limited and scattered analysis is on the social part, and the least is on socially responsible supply chain management (SR-SCM). SCT plays a significant role in elevating the sustainability of the supply chain. This review paper emphasizes the integration of SCT and sustainable supply chain, especially the social aspect as SR-SCM, and coining the new term social transparency (ST). ST is openness to communicating details about the impact of business on people, their well-being, and compliance with social sustainability standards and policies. This paper establishes a conceptual framework using three research methods. systematic literature review, content analysis-based literature review, and framework development. By locating studies in databases like EBSCO, Scopus, and Web of Science, 273 peer-reviewed articles were identified in the intersection of social sustainability, supply chains, and transparency. Finally, the framework proposes five dimensions: tracking and tracing suppliers till provenance, product and process specifications, financial transaction information, social sustainability policies and compliance, and performance assessment to determine ST in global supply chains.

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RETRACTED ARTICLE: Converging concepts of sustainability and supply chain networks: a systematic literature review approach

Stakeholder roles in sustainable supply chain management: a literature review

Making transparency transparent: a systematic literature review to define and frame supply chain transparency in the context of sustainability

Data availability.

The data that supports the findings of this systematic literature review and content analysis are either included in this manuscript or are publicly available in the referenced sources. All included studies and their respective citations are provided in the reference section. Any additional data or materials used for this review can be obtained upon request from the corresponding author.

Abbreviations

Supply chain management

Socially responsible supply chain management

Supply Chain Transparency

Social Transparency

Multinational Corporations

Code of Conduct

Corporate Social Responsibility

Preferred Reporting Items for Systematic Reviews and Meta-analyses

Radio frequency Identification

Internet of Things

Sustainable Supply Chain Management

Supply Chain

Textile Standard Certification

Worldwide Responsible Accredited Production

Global Organic Textile Standard

Global Recycled Standard

Registration, Evaluation, Authorization and Restriction on the use of Chemicals

Social Accountability International Certification

Indian Standards Institution Mark

Bureau of Indian Standards

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Raja, P., Mohan, U. A conceptual framework proposed through literature review to determine the dimensions of social transparency in global supply chains. Manag Rev Q (2024). https://doi.org/10.1007/s11301-024-00440-1

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Financial markets play two roles with implications for the exchange rate: they accommodate risk sharing and act as a source of shocks. In prevailing theories, these roles are seen as mutually exclusive and individually face challenges in explaining exchange rate dynamics. However, we demonstrate that this is not necessarily the case. We develop an analytical framework that characterizes the link between exchange rates and finance across all conceivable market structures. Our findings indicate that full market segmentation is not necessary for financial shocks to explain exchange rates. Moreover, financial markets can accommodate a significant extent of international risk sharing without leading to the classic exchange rate puzzles. We identify plausible market structures where both roles coexist, addressing challenges faced when examined separately.

The authors have no relevant or material financial interests that relate to the research described in this paper. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.

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Lending standards can be too tight for too long, research finds

Betsy Vereckey

May 14, 2024

The economy plays a huge role in lending trends, which is why it’s harder to get a loan in a recession than it is during a boom time.

Lending standards were loose during the lending boom of the mid-2000s, for example, when credit spreads and default rates were low. And standards were relatively tight during the credit crunch in 2008 – 2009, when default rates were high, and they continued to be tight even during the recovery that followed, so credit spreads also remained high.

What was notable was that lending standards were notably slow to loosen up — even after the turmoil began to ease in 2009 and into 2010, said finance professor  Jonathan A. Parker,  a co-director of the MIT Golub Center for Finance and Policy and the MIT Consumer Finance Initiative .

New research from Parker and his co-authors suggests that some of the persistence of tightness after a shock is self-inflicted. When banks try to protect themselves by increasing their due diligence in evaluating potential borrowers, they set off a chain reaction whereby other banks do the same and worsen the credit crunch. 

Parker, Michael J. Fishman of Northwestern University, and Ludwig Straub of Harvard unpack this ripple effect in “ A Dynamic Theory of Lending Standards ,” examining the effort banks take to screen out bad borrowers. The researchers created a model that examines the effects of tight lending standards versus loose lending standards and shows what can happen when banks go the extra mile to acquire a plethora of information on borrowers and condition their lending on that information. Here’s what they found:

• By not funding people who are less creditworthy, tighter standards worsen the pool of potential borrowers who are looking for loans, which in turn creates an even bigger incentive for banks to employ tight standards in the future.
• Tighter standards in a good market are inefficient. They amplify and prolong downturns, decrease overall lending, and increase credit spreads.

The following insights led the researchers to those conclusions.

Lending standards are inefficient when they’re too tight

When the economy is good, banks rely less on consumers’ private information to make loans, Parker said. They rely more on publicly available information, which is an efficient and low-cost way to acquire data to assess loan applicants.

But when there’s a financial shock to credit markets, or when banks have to be selective about the loans they make because of balance sheet constraints or management concerns about leverage, banks put in more work to evaluate potential borrowers.

The researchers found that this can lead to a domino effect that causes banks to keep up their tough due diligence persistently, even after economic conditions improve. This makes loans more costly to make and means that credit markets get stuck with high interest rates that borrowers end up having to pay. 

If the market is in good shape, less due diligence makes more sense. Over-diligence slows down the process, costs the banks more money — an expense they pass on to borrowers — and reduces their ability to lend to worthy borrowers.

Counterintuitively, in credit markets where most potential borrowers are creditworthy, “less checking would make the loans actually cheaper for those good borrowers who would’ve gotten through the tight lending standards, who would have gotten loans either way,” Parker said.

This is especially relevant right now because there are a lot of commercial real estate losses on bank balance sheets and there is lingering concern about the fiscal health of banks following the year-ago collapse of Silicon Valley Bank and two other large regional lenders.

“There’s a bunch of regulatory concern about the loans that banks are making right now,” Parker said. And that concern is causing banks to put in more effort than necessary when checking a borrower’s history. 

The real estate market is another sore spot. Lending standards are currently tight , especially in commercial real estate.

“When you have people with reasonably good credit scores who are putting a down payment down on a house that’s a good piece of collateral, it doesn’t make sense for banks to be doing a lot of evaluation of whether that loan is going to pay off or not,” Parker said.

“The chances that [a loan] will fail are very small. Some of them will default and lose a little bit of money, but that will be a rare event,” he said.

The government should intervene when lending standards are too tight

Parker said that it can be beneficial to have the government relax lending standards when they’re too tight for too long. Lending standards, for example, were too tight for too long following the 2008 – 2009 financial crisis, Parker said.

In a high interest rate environment, the government could temporarily support the lending market with a temporary loan guarantee program funded by a tax on loan payments. In 2009, the government purchased mortgage-backed securities, which pool borrowers, and took over Fannie Mae and Freddie Mac so they could continue to insure mortgages.

Fintechs are adding additional pressure  

Financial technology startups are now lending like banks, approving loans with just a few taps on a cellphone — but without the same degree of regulation. For example, short-term point-of-sale lending, known as “ buy now, pay later ,” is carving some safe loans out of the credit card space and stealing market share. These companies make loans with a soft credit check based on “what is being purchased, where it’s being bought, and maybe even when,” Parker said.

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Buy now, pay later loans — which allow consumers to break up payment into four installments — began to soar in popularity during the online spending boom spurred by the pandemic. Amid high credit card interest rates , these loans remain popular with people who want to keep a low credit card balance.

Parker said that might push credit card interest rates higher: As some of the better credit risks are carved out of banks’ lending pool, credit card companies might tighten lending standards and reduce credit to marginal borrowers.

“This is a very active place in the economy today, where there are lots of fintech lenders that are working on developing new lending models,” Parker said. For example, SoFi, an online finance company that specializes in student loan refinancing, connects borrowers with investors who want to lend them money.

Parker said that traditional banks should be aware that their borrower pool is being influenced by the arrival of these companies, perhaps more than they realize.

The arrival of buy now, pay later “changes how competitive credit cards are,” Parker said, because the “loans that they’re making are effectively different and separate” from the ones the banks are making.

If buy now, pay later works, “some safe loans would presumably be carved out of the credit card space and satisfied by buy now, pay later,” Parker said. “There are still a bunch of questions about exactly how this is going. But credit card interest rates might end up a little bit higher because some of the better credit risks are being removed from their lending pool.”

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The new, improved version of NISAs (Nippon Individual Savings Accounts) may have an indelible impact on Japan’s investment trust market. The new NISAs have accentuated the distinction between funds that are suitable as stable investment vehicles and funds that are not. In the first three months following the new NISAs’ advent, investment trusts eligible to be held in NISAs captured an outsized share of asset inflows while most NISA-ineligible investment trusts experienced asset outflows. Amid ongoing changes in the Japanese public’s image of investing, NISA-eligibility may be influencing investment trust investors’ fund selection decisions, even when the fund being purchased will not be held in a NISA. If so, investment trust sponsors will have to seriously weigh whether to make compliance with NISA eligibility requirements a feature of their new products.

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This paper discusses recent challenges in BCEAO monetary policy, from a recent spike in inflation, the persistent erosion of external reserves, and strains in the regional financial market. In response to these shocks, the BCEAO operated via both policy rates and liquidity management, including by shifting from fixed to variable rate auctions. The paper finds that the conduct of monetary policy became progressively more constrained by financial stability and external viability challenges, arguing for enhanced monetary-fiscal policy coordination to help the BCEAO meet its reserves objectives.

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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.