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    • All HBS Web  (973)
      • Faculty Publications  (104)

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      • March 2025 (Revised March 2025)
      • Case

      Good for the Seller, Good for the Buyer and Good for Society: Sampo-yoshi, Sustainability and Trust at ITOCHU

      By: Sandra J. Sucher and Bethelehem Y Araya
      In 2024, ITOCHU CEO Masahiro Okafuji was at a crossroads. As the thirteenth CEO since ITOCHU’s founding in 1858, he had fueled the company’s growth since 2011 by bringing ITOCHU’s founding philosophy of Sampo-yoshi (good for the seller, good for the buyer and... View Details
      Keywords: Sustainability; Trust; Profit; Growth and Development Strategy; Organizational Change and Adaptation; Mission and Purpose; Corporate Social Responsibility and Impact; Environmental Sustainability; Japan
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      Sucher, Sandra J., and Bethelehem Y Araya. "Good for the Seller, Good for the Buyer and Good for Society: Sampo-yoshi, Sustainability and Trust at ITOCHU." Harvard Business School Case 325-053, March 2025. (Revised March 2025.)
      • 2025
      • Working Paper

      Code-Washing: Evidence from Open-Source Blockchain Startups

      By: Ofir Gefen, Daniel Rabetti, Yannan Sun and Che Zhang
      This study examines startups' management of source code repositories, distinguishing authentic developers ("code-producers''), from those inflating activity to mislead investors ("code-washers''). Using global blockchain startup and GitHub data, we find that... View Details
      Keywords: Entrepreneurial Finance; Open Source Distribution; Business Startups
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      Gefen, Ofir, Daniel Rabetti, Yannan Sun, and Che Zhang. "Code-Washing: Evidence from Open-Source Blockchain Startups." Working Paper, January 2025.
      • November 2024
      • Supplement

      AlphaGo (C): Birth of a New Intelligence

      By: Shikhar Ghosh and Shweta Bagai
      This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details
      Keywords: Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; Research and Development; Business Model; Business Strategy; Open Source Distribution; Technology Industry; United States
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      Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (C): Birth of a New Intelligence." Harvard Business School Supplement 825-075, November 2024.
      • November 2024
      • Article

      On the Representativeness of Voter Turnout

      By: Louis Kaplow and Scott Duke Kominers
      Prominent theory research on voting analyzes a variety of models in which expected pivotality drives voters' turnout decisions and hence determines voting outcomes. It is recognized, however, that such work is at odds with Downs's paradox: in practice, many... View Details
      Keywords: Voting Behavior; Voting Turnout; Paradox Of Voting; Pivotality; Elections; Model; Theory; Governance Transparency; Government; Democracy; Turnout; Voting; Governance; Government and Politics; Public Sector; Political Elections
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      Kaplow, Louis, and Scott Duke Kominers. "On the Representativeness of Voter Turnout." Journal of Law & Economics 67, no. 4 (November 2024): 879–904.
      • 2025
      • Working Paper

      Generative AI and the Nature of Work

      By: Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng and Kevin Xu
      Recent advances in artificial intelligence (AI) technology demonstrate a considerable potential to complement human capital intensive activities. While an emerging literature documents wide-ranging productivity effects of AI, relatively little attention has been paid... View Details
      Keywords: Generative Ai; Digital Work; Open Source Software; Knowledge Economy; AI and Machine Learning; Open Source Distribution; Organizational Structure; Performance Productivity; Labor
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      Hoffmann, Manuel, Sam Boysel, Frank Nagle, Sida Peng, and Kevin Xu. "Generative AI and the Nature of Work." Harvard Business School Working Paper, No. 25-021, October 2024. (Revised April 2025.)
      • October 2024 (Revised December 2024)
      • Case

      Kering Eyewear

      By: Rohit Deshpandé, Dante Roscini and Elena Corsi
      In June 2024, Roberto Vedovotto, CEO of Kering Eyewear, prepared to discuss the future of the recently acquired brands LINDBERG, a Danish optical eyewear brand, and Maui Jim, an American sunglasses brand. Vedovotto founded Kering Eyewear in 2014, convincing... View Details
      Keywords: Marketing Strategy; Brands and Branding; Product Marketing; Mergers and Acquisitions; Business or Company Management; Growth and Development Strategy; Luxury; Fashion Industry; Apparel and Accessories Industry; Consumer Products Industry; Italy; Europe; China
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      Deshpandé, Rohit, Dante Roscini, and Elena Corsi. "Kering Eyewear." Harvard Business School Case 525-027, October 2024. (Revised December 2024.)
      • September 2024
      • Case

      Copenhagen Infrastructure Partners: Leading the Energy Transition

      By: John Macomber and Maxwell Nii Laryea
      A leading global infrastructure fund debates whether and when to become engaged in the electrolysis and distribution of hydrogen, as part of the hydrogen economy and the global transtion to a net zero energy world. The proposed billion dollar project consists of ... View Details
      Keywords: Energy; Infrastructure; Energy Generation; Renewable Energy; Project Finance; Energy Industry; Spain
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      Macomber, John, and Maxwell Nii Laryea. "Copenhagen Infrastructure Partners: Leading the Energy Transition." Harvard Business School Case 225-012, September 2024.
      • 2024
      • Article

      Learning Under Random Distributional Shifts

      By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
      Algorithmic assignment of refugees and asylum seekers to locations within host countries has gained attention in recent years, with implementations in the U.S. and Switzerland. These approaches use data on past arrivals to generate machine learning models that can... View Details
      Keywords: AI and Machine Learning; Refugees; Employment
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      Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
      • September–October 2024
      • Article

      Working Around the Clock: Temporal Distance, Intrafirm Communication, and Time Shifting of the Employee Workday

      By: Jasmina Chauvin, Prithwiraj Choudhury and Tommy Pan Fang
      This paper examines the effects of temporal distance generated by time zone separation on communication in geographically distributed organizations. We build on prior research, which highlights time zone separation as a significant challenge, but argue that employees... View Details
      Keywords: Communication; Employees; Behavior; Equality and Inequality
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      Chauvin, Jasmina, Prithwiraj Choudhury, and Tommy Pan Fang. "Working Around the Clock: Temporal Distance, Intrafirm Communication, and Time Shifting of the Employee Workday." Organization Science 35, no. 5 (September–October 2024): 1660–1681.
      • 2024
      • Working Paper

      The Value of AI Innovations

      By: Wilbur Xinyuan Chen, Terrence Tianshuo Shi and Suraj Srinivasan
      We study the value of AI innovations as it diffuses across general and application sectors, using the United States Patent and Trademark Office’s (USPTO) AI patent dataset. Investors value these innovations more than others, as AI patents exhibit a 9% value premium,... View Details
      Keywords: AI and Machine Learning; Valuation; Technological Innovation; Open Source Distribution; Patents; Policy; Knowledge Sharing; Technology Industry
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      Chen, Wilbur Xinyuan, Terrence Tianshuo Shi, and Suraj Srinivasan. "The Value of AI Innovations." Harvard Business School Working Paper, No. 24-069, May 2024.
      • May 2024
      • Teaching Note

      AI21 Labs in 2023: Strategy for Generative AI

      By: David Yoffie
      Teaching Note for HBS Case 724-383. The case has 3 important teaching purposes: First, what are the advantages and disadvantages of imitation? (e.g., Should AI21 imitate OpenAI with a chatbot?) Second, what are the advantages and disadvantages of keeping new technology... View Details
      Keywords: AI; Generative Ai; Generative Models; AI and Machine Learning; Innovation Strategy; Growth and Development Strategy; Business Model; Business Startups; Open Source Distribution; Competitive Advantage; Technology Industry; Israel
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      Yoffie, David. "AI21 Labs in 2023: Strategy for Generative AI." Harvard Business School Teaching Note 724-461, May 2024.
      • 2024
      • Working Paper

      Old Moats for New Models: Openness, Control, and Competition in Generative AI

      By: Pierre Azoulay, Joshua L. Krieger and Abhishek Nagaraj
      Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability—whether firms in the industry are able to control the knowledge generated... View Details
      Keywords: Technological Innovation; AI and Machine Learning; Open Source Distribution; Policy
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      Azoulay, Pierre, Joshua L. Krieger, and Abhishek Nagaraj. "Old Moats for New Models: Openness, Control, and Competition in Generative AI." NBER Working Paper Series, No. 7442, May 2024.
      • March 2024
      • Teaching Note

      CoPilot(s): Generative AI at Microsoft and GitHub

      By: Frank Nagle and Maria P. Roche
      This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software... View Details
      Keywords: Mergers and Acquisitions; AI and Machine Learning; Applications and Software; Technological Innovation; Product Launch; Open Source Distribution; Product Development; Commercialization; Competition; Resource Allocation; Technology Industry
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      Nagle, Frank, and Maria P. Roche. "CoPilot(s): Generative AI at Microsoft and GitHub." Harvard Business School Teaching Note 724-452, March 2024.
      • March 2024 (Revised June 2024)
      • Case

      Governing OpenAI (A)

      By: Lynn S. Paine, Suraj Srinivasan and Will Hurwitz
      In late November 2023, OpenAI’s new board of directors took stock of the situation. The company, which sought to develop artificial general intelligence (AGI)—computer systems with capabilities exceeding human abilities—was looking to regain its footing after a chaotic... View Details
      Keywords: Artificial Intelligence; Board Of Directors; Board Decisions; Board Dynamics; Corporate Boards; Governance Changes; Governance Structure; Leadership Change; Legal Aspects Of Business; Nonprofit Governance; Strategy And Execution; Technological Change; AI and Machine Learning; Corporate Governance; Leadership; Management; Mission and Purpose; Technological Innovation; Governing Rules, Regulations, and Reforms; Governing and Advisory Boards; Resignation and Termination; Ethics; Nonprofit Organizations; Open Source Distribution; Partners and Partnerships; Technology Industry; San Francisco; United States
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      Paine, Lynn S., Suraj Srinivasan, and Will Hurwitz. "Governing OpenAI (A)." Harvard Business School Case 324-103, March 2024. (Revised June 2024.)
      • January 2024
      • Technical Note

      Venture Capital and Private Equity Funds: A Primer

      By: Jo Tango and Christina Wallace
      How do venture capital and private equity funds actually work? This Technical Note covers the "when, who, and how" details:
      • "When": fund length, extensions, and when investors can no longer initiate new investments.
      • "Who": who is in the General... View Details
      Keywords: Fund Flows; Fund Management; Venture Capital; Private Equity; Investment Funds
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      Tango, Jo, and Christina Wallace. "Venture Capital and Private Equity Funds: A Primer." Harvard Business School Technical Note 824-123, January 2024.
      • January 2024 (Revised May 2024)
      • Case

      Pioneer Natural Resources: Enhancing the Capital Return Strategy with Variable Dividends

      By: Benjamin C. Esty, Elisabeth Kempf and E. Scott Mayfield
      In February 2021, Scott Sheffield, the CEO of Pioneer Natural Resources (an independent oil and gas company based in Texas), was considering the possibility of enhancing the firm’s capital return strategy by introducing a variable dividend tied to cash flows in... View Details
      Keywords: Corporate Finance; Cash Flow; Financial Management; Financial Strategy; Value Creation; Decision Choices and Conditions; Investment Return; Profit; Policy; Business and Shareholder Relations; Energy Industry; United States; North America; Texas
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      Esty, Benjamin C., Elisabeth Kempf, and E. Scott Mayfield. "Pioneer Natural Resources: Enhancing the Capital Return Strategy with Variable Dividends." Harvard Business School Case 224-001, January 2024. (Revised May 2024.)
      • November 2023 (Revised July 2024)
      • Case

      'Care in Every Drop': Ayala Corporation and Manila Water (A)

      By: Debora L. Spar, Paul Healy, Tricia Peralta and Julia M. Comeau
      Since 1834, eight generations of the Ayala family have used their conglomerate to fund nation-building projects in the Philippines, including investments in tramcars, telecommunications, hospitals, and schools. In 1997, Ayala’s subsidiary, Manila Water, took control of... View Details
      Keywords: Family Business; Economic Growth; Social Entrepreneurship; Climate Change; Natural Resources; Crisis Management; Failure; Privatization; Social Issues; Urban Development; Adaptation; Public Opinion; Mission and Purpose; Utilities Industry; Asia; Philippines
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      Spar, Debora L., Paul Healy, Tricia Peralta, and Julia M. Comeau. "'Care in Every Drop': Ayala Corporation and Manila Water (A)." Harvard Business School Case 324-038, November 2023. (Revised July 2024.)
      • November 2023
      • Supplement

      'Care in Every Drop': Ayala Corporation and Manila Water (B)

      By: Debora L. Spar, Paul Healy, Tricia Peralta and Julia Comeau
      Since 1834, eight generations of the Ayala family have used their conglomerate to fund nation-building projects in the Philippines, including investments in tramcars, telecommunications, hospitals, and schools. In 1997, Ayala’s subsidiary, Manila Water, took control of... View Details
      Keywords: Family Business; Economic Growth; Social Entrepreneurship; Climate Change; Natural Resources; Crisis Management; Failure; Privatization; Social Issues; Urban Development; Adaptation; Infrastructure; Utilities Industry; Philippines
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      Spar, Debora L., Paul Healy, Tricia Peralta, and Julia Comeau. "'Care in Every Drop': Ayala Corporation and Manila Water (B)." Harvard Business School Supplement 324-039, November 2023.
      • November 2023
      • Case

      Open Source Machine Learning at Google

      By: Shane Greenstein, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue and James Barnett
      Set in early 2023, the case exposes students to the challenges of managing open source software at Google. The case focuses on the challenges for Alex Spinelli, Vice President of Product Management for Core Machine Learning. He must set priorities for Google’s efforts... View Details
      Keywords: Decision Choices and Conditions; Technological Innovation; Open Source Distribution; Strategy; AI and Machine Learning; Applications and Software; Technology Industry; United States
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      Greenstein, Shane, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue, and James Barnett. "Open Source Machine Learning at Google." Harvard Business School Case 624-015, November 2023.
      • 2023
      • Article

      On the Impact of Actionable Explanations on Social Segregation

      By: Ruijiang Gao and Himabindu Lakkaraju
      As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
      Keywords: Forecasting and Prediction; AI and Machine Learning; Outcome or Result
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      Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
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