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- 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: AI; Artificial Intelligence; Machine Learning; Research; Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Information Technology; Research And Development; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; United States
- 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
Kaplow, Louis, and Scott Duke Kominers. "On the Representativeness of Voter Turnout." Journal of Law & Economics 67, no. 4 (November 2024): 879–904.
- 2024
- 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 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
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.
- 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; Fashion Industry; Apparel and Accessories Industry; Consumer Products Industry; Italy; Europe
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
- 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
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
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
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
- 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
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
- 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
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
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
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
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
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
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
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
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
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.
- September 2023
- Case
The Meteoric Rise of Skims
Since its founding in 2019 by Kim Kardashian and Jens Grede, Skims, a solutions-oriented brand creating the next generation of underwear, loungewear, and shapewear with an eye toward body-type and skin-tone inclusivity, has experienced a meteoric rise. Kardashian, who... View Details
Keywords: Brand; Branding; Direct-to-consumer; DTC; Influencers; Influencer Marketing; Fashion; Growth; Direct Marketing; Influence; Reputation; Social Inference; Consumer Goods; Consumer Products; Female Entrepreneur; Female Protagonist; Entrepreneurship And Strategy; Brand & Product Management; Competitive Advantage; Online Followers; Retail; Retail Formats; Retailing; Online Retail; Celebrities; Celebrity; Celebrity Endorsement; Go To Market Strategy; Apparel; Startup Marketing; Startups; Social Influencers; Brands and Branding; Growth and Development Strategy; Growth Management; Distribution Channels; Digital Marketing; Advertising; Power and Influence; Social Media; Fashion Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
Israeli, Ayelet, Jill Avery, and Leonard A. Schlesinger. "The Meteoric Rise of Skims." Harvard Business School Case 524-023, September 2023.
- 2025
- Working Paper
When Where Watt: Harnessing the Value of Time and Location for Renewable Electricity Generation
By: Vishrut Rana, Christian Kaps and Serguei Netessine
Problem definition: Investments in renewable energy have surged worldwide in recent years, with over $2 trillion spent globally on clean energy. This surge was driven by growing policy support, concerns about energy security, and, most importantly, the cost... View Details
Keywords: Wind Power; Electricity Distribution; Renewable Energy; Profit; Investment Return; Factories, Labs, and Plants; Geographic Location; Revenue; Energy Industry; Utilities Industry
Rana, Vishrut, Christian Kaps, and Serguei Netessine. "When Where Watt: Harnessing the Value of Time and Location for Renewable Electricity Generation." Working Paper, January 2025.