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      • 2024
      • Book

      Deals: The Economic Structure of Business Transactions

      By: Guhan Subramanian and Michael Klausner
      Drawing on real-life cases from a wide range of industries, two acclaimed experts offer a sophisticated but accessible guide to business deals, designed to maximize value for your side.

      Business transactions take widely varying forms—from multibillion-dollar... View Details
      Keywords: Negotiation; Contracts
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      Subramanian, Guhan, and Michael Klausner. Deals: The Economic Structure of Business Transactions. Harvard University Press, 2024.
      • February 2024
      • Background Note

      Frederick Herzberg on Motivating Employees

      By: Willy C. Shih
      This background note summarizes Frederick Herzberg's development of his motivation-hygiene theory, his theory regarding job enrichment, and how the theory has evolved. This is at the core of extrinsic versus intrinsic motivation. View Details
      Keywords: Motivation and Incentives; Theory; Service Industry; Manufacturing Industry; United States
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      Shih, Willy C. "Frederick Herzberg on Motivating Employees." Harvard Business School Background Note 624-085, February 2024.
      • February 26, 2024
      • Article

      Making Workplaces Safer Through Machine Learning

      By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
      Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details
      Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms
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      Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Making Workplaces Safer Through Machine Learning." Regulatory Review (February 26, 2024).
      • February 2024 (Revised July 2024)
      • Case

      Taffi: Entrepreneurship in Saudi Arabia

      By: Paul A. Gompers and Fares Khrais
      Taffi was a tech-enabled fashion styling startup founded by Shahad Geoffrey in Saudi Arabia in 2020. Within three years of operating, Geoffrey had pivoted the business multiple times. In 2023, Geoffrey was attempting the business’s most ambitious pivot yet, shifting... View Details
      Keywords: Business Startups; Disruption; Entrepreneurship; Venture Capital; Investment; Growth and Development Strategy; Business Strategy; AI and Machine Learning; Fashion Industry; Technology Industry; Saudi Arabia; Arabian Peninsula
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      Gompers, Paul A., and Fares Khrais. "Taffi: Entrepreneurship in Saudi Arabia." Harvard Business School Case 224-052, February 2024. (Revised July 2024.)
      • 2025
      • Working Paper

      Precautionary Debt Capacity

      By: Deniz Aydin and Olivia S. Kim
      The determinants of debt capacity are a central theme in finance and macroeconomics, yet it remains unclear why firms leave some of their debt capacity unused and whether this affects investment and growth. Textbook theory suggests that firms should not leave their... View Details
      Keywords: Borrowing and Debt; Credit; Financing and Loans
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      Aydin, Deniz, and Olivia S. Kim. "Precautionary Debt Capacity." SSRN Working Paper Series, No. 2024/01. (Best Paper Award, Red Rock Finance Conference.)
      • February 2024
      • Teaching Note

      Data-Driven Denim: Financial Forecasting at Levi Strauss

      By: Mark Egan
      Teaching Note for HBS Case No. 224-029. Levi Strauss & Co. (“Levi Strauss”) partnered with the IT services company Wipro to incorporate more sophisticated methods, such as machine learning, into their financial forecasting process starting in 2018. The decision to... View Details
      Keywords: Forecasting; Regression; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Apparel and Accessories Industry; United States
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      Egan, Mark. "Data-Driven Denim: Financial Forecasting at Levi Strauss." Harvard Business School Teaching Note 224-073, February 2024.
      • February 6, 2024
      • Article

      Find the AI Approach That Fits the Problem You’re Trying to Solve

      By: George Westerman, Sam Ransbotham and Chiara Farronato
      AI moves quickly, but organizations change much more slowly. What works in a lab may be wrong for your company right now. If you know the right questions to ask, you can make better decisions, regardless of how fast technology changes. You can work with your technical... View Details
      Keywords: Technology Adoption; AI and Machine Learning; Organizational Change and Adaptation; Technological Innovation; Analytics and Data Science
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      Westerman, George, Sam Ransbotham, and Chiara Farronato. "Find the AI Approach That Fits the Problem You’re Trying to Solve." Harvard Business Review Digital Articles (February 6, 2024).
      • February 2024
      • Teaching Note

      TimeCredit

      By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein
      Teaching Note for HBS Case No. 824-139. TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting... View Details
      Keywords: Accounting; Business Startups; Entrepreneurship; Financing and Loans; AI and Machine Learning; Entrepreneurial Finance; Identity; Partners and Partnerships; Technology Industry
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      Colonnelli, Emanuele, Raymond Kluender, and Shai Benjamin Bernstein. "TimeCredit." Harvard Business School Teaching Note 824-171, February 2024.
      • February 2024
      • Case

      Continuity & Change at Boston Consulting Group

      By: David G. Fubini, Suraj Srinivasan and David Lane
      As the new CEO of Boston Consulting Group (BCG) since autumn 2021, Christoph Schweizer had big shoes to fill—his predecessor, Rich Lesser, had tripled the partnership’s total revenues and created digital initiatives that contributed 40+% of 2021 revenues, more than... View Details
      Keywords: Business Organization; Change Management; Talent and Talent Management; Governance; AI and Machine Learning; Environmental Sustainability; Leading Change; Risk Management; Organizational Culture; Partners and Partnerships; Revenue; Growth and Development Strategy; Management Succession; Consulting Industry
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      Fubini, David G., Suraj Srinivasan, and David Lane. "Continuity & Change at Boston Consulting Group." Harvard Business School Case 124-011, February 2024.
      • February 2024
      • Case

      ReSpo.Vision: The Kickstart of an AI Sports Revolution

      By: Paul A. Gompers, Elena Corsi and Nikolina Jonsson
      This case study explores the growth journey of Polish computer vision sports start-up ReSpo.Vision in an emerging entrepreneurial ecosystem. By providing 3D data and analysis to soccer clubs, ReSpo.Vision achieved significant milestones with a €1 million seed round, an... View Details
      Keywords: Business Startups; Business Plan; Experience and Expertise; Talent and Talent Management; Decisions; Decision Choices and Conditions; Forecasting and Prediction; Entrepreneurship; Venture Capital; AI and Machine Learning; Analytics and Data Science; Applications and Software; Business Strategy; Sports Industry; Technology Industry; Poland; Europe
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      Gompers, Paul A., Elena Corsi, and Nikolina Jonsson. "ReSpo.Vision: The Kickstart of an AI Sports Revolution." Harvard Business School Case 824-151, February 2024.
      • February 2024 (Revised September 2024)
      • Case

      TimeCredit

      By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein
      TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting background, as she decides how much... View Details
      Keywords: Accounting; Business Startups; Entrepreneurship; Financing and Loans; AI and Machine Learning; Entrepreneurial Finance; Identity; Technology Industry
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      Colonnelli, Emanuele, Raymond Kluender, and Shai Benjamin Bernstein. "TimeCredit." Harvard Business School Case 824-139, February 2024. (Revised September 2024.)
      • February 2024 (Revised January 2025)
      • Case

      AGENTS.inc: Pathways to Growth at an AI Startup

      By: Frank Nagle, Manuel Hoffmann, Karoline Ströhlein and Susan Pinckney
      The case describes the history of AGENTS.inc. Despite being a small startup, with only four employees, that had never had a funding round, the company boasted an impressive client portfolio including multiple Fortune 500 companies. While AGENTS.inc had been an early... View Details
      Keywords: Business Growth and Maturation; Business Model; Business Startups; Small Business; Transformation; Customer Focus and Relationships; Decisions; Entrepreneurship; Venture Capital; Financial Strategy; AI and Machine Learning; Digital Platforms; Technological Innovation; Copyright; Management; Growth and Development; Market Timing; Ownership; Risk and Uncertainty; Competition; Open Source Distribution; Entrepreneurial Finance; Computer Industry; Europe; Germany
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      Nagle, Frank, Manuel Hoffmann, Karoline Ströhlein, and Susan Pinckney. "AGENTS.inc: Pathways to Growth at an AI Startup." Harvard Business School Case 724-444, February 2024. (Revised January 2025.)
      • February 2024
      • Technical Note

      AI Product Development Lifecycle

      By: Michael Parzen, Jessie Li and Marily Nika
      In this article, we will discuss the concept of AI Products, how they are changing our daily lives, how the field of AI & Product Management is evolving, and the AI Product Development Lifecycle. View Details
      Keywords: Artificial Intelligence; Product Management; Product Life Cycle; Technology; AI and Machine Learning; Product Development
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      Parzen, Michael, Jessie Li, and Marily Nika. "AI Product Development Lifecycle." Harvard Business School Technical Note 624-070, February 2024.
      • 2024
      • Working Paper

      Corporate Culture Homogeneity and Top Executive Incentive Design: Evidence from CEO Compensation Contracts

      By: Dennis Campbell, Ruidi Shang and Zhifang Zhang
      We examine how corporate cultures characterized by high degrees of homogeneity in the underlying values and beliefs of organizational members are related to the design of CEO incentive compensation contracts. We argue that culture homogeneity within firms lowers... View Details
      Keywords: Corporate Culture; Compensation Design; Accounting; Management Control; Incentive Systems; Organizational Culture; Job Design and Levels; Governance; Executive Compensation; Motivation and Incentives
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      Campbell, Dennis, Ruidi Shang, and Zhifang Zhang. "Corporate Culture Homogeneity and Top Executive Incentive Design: Evidence from CEO Compensation Contracts." Harvard Business School Working Paper, No. 24-054, February 2024.
      • February 2024
      • Article

      Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry

      By: Dominika Kinga Randle and Gary P. Pisano
      An enduring trait of modern corporations is their propensity to diversify into multiple lines of business. Penrosian theories conceptualize diversification as a strategy to exploit a firm’s fungible, yet “untradeable”, resources and point to redeployment of... View Details
      Keywords: Diversification; Market Entry and Exit; Assets
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      Randle, Dominika Kinga, and Gary P. Pisano. "Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry." Special Issue on Knowledge Resources and Heterogeneity of Entrants within and across Industries. Industrial and Corporate Change 33, no. 1 (February 2024): 238–252.
      • February 2024
      • Article

      Pricing Power in Advertising Markets: Theory and Evidence

      By: Matthew Gentzkow, Jesse M. Shapiro, Frank Yang and Ali Yurukoglu
      Existing theories of media competition imply that advertisers will pay a lower price in equilibrium to reach consumers who multi-home across competing outlets. We generalize, extend, and test this prediction. We find that television outlets whose viewers watch more... View Details
      Keywords: Television Entertainment; Advertising; Residency; Social Media; Price; Media; Age
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      Gentzkow, Matthew, Jesse M. Shapiro, Frank Yang, and Ali Yurukoglu. "Pricing Power in Advertising Markets: Theory and Evidence." American Economic Review 114, no. 2 (February 2024): 500–533.
      • Working Paper

      Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application

      By: Flora Feng, Charis Li and Shunyuan Zhang
      Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details
      Keywords: Peer-to-peer Markets; Marketplace Matching; AI and Machine Learning; Demand and Consumers; Digital Platforms; Marketing
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      Feng, Flora, Charis Li, and Shunyuan Zhang. "Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application." SSRN Working Paper Series, No. 4665286, February 2024.
      • 2025
      • Working Paper

      Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers

      By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong
      Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details
      Keywords: AI and Machine Learning; Decision Choices and Conditions
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      DosSantos DiSorbo, Matthew, Kris Ferreira, Maya Balakrishnan, and Jordan Tong. "Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers." Working Paper, May 2025.
      • January 2024 (Revised January 2025)
      • Case

      Huawei: Resilience amid Autarky and Adversity

      By: William C. Kirby and Daniel Fu
      In September 2023, Huawei made a dramatic return to the global smartphone space with the launch of its Mate 60 Pro smartphone, equipped with an indigenously designed, 7nm chip. This came despite a myriad of export controls and restrictions imposed against the company... View Details
      Keywords: International Strategy; Semiconductors; Smartphone; Government And Politics; Government And Business; Digital Infrastructure; 5G; Political Risk; Business and Government Relations; Global Strategy; Multinational Firms and Management; Governing Rules, Regulations, and Reforms; AI and Machine Learning; Mobile and Wireless Technology; Leadership; Retirement; Corporate Strategy; Technology Industry; China; United States; Europe; Asia; Middle East
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      Kirby, William C., and Daniel Fu. "Huawei: Resilience amid Autarky and Adversity." Harvard Business School Case 324-069, January 2024. (Revised January 2025.)
      • January 2024
      • Case

      The Financial Times (FT) and Generative AI

      By: Andrew Rashbass, Ramon Casadesus-Masanell and Jordan Mitchell
      In September 2023, John Ridding, CEO of the Financial Times, was considering the possible impact of Generative AI on the industry and his business. Having navigated successfully the seismic shift from print to digital, and reporting record results, the company... View Details
      Keywords: AI and Machine Learning; Technology Adoption; Change Management; Journalism and News Industry
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      Rashbass, Andrew, Ramon Casadesus-Masanell, and Jordan Mitchell. "The Financial Times (FT) and Generative AI." Harvard Business School Case 724-410, January 2024.
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