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- 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
- 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
- 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).
- 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.
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
- April 2023 (Revised September 2023)
- Case
Levels: The Remote, Asynchronous, Deep Work Management System
By: Joseph B. Fuller and George Gonzalez
Levels is a highly innovative startup in the health care space. They intend to revolutionize health by linking behavior—eating, exercise, sleeping, etc.—to changes in metabolism. They believe metabolic health can be managed through careful monitoring of changes in... View Details
Keywords: Applications and Software; Business Startups; Organizational Culture; Management Style; Technology Industry; United States
Fuller, Joseph B., and George Gonzalez. "Levels: The Remote, Asynchronous, Deep Work Management System." Harvard Business School Case 323-069, April 2023. (Revised September 2023.)
- December 2022
- Article
Cost Standard Set Program: Moving Forward to Standardization of Cost Assessment Based on Clinical Condition
By: Anna Paula Beck da Silva Etges, Richard D. Urman, Anne Geubelle, Robert Kaplan and Carisi Anne Polanczyk
This communication announces the International Cost Standard Set Program. Its goal is to establish global standardized frameworks for measuring the costs of treating specific clinical conditions. A scientific committee, including 16 international healthcare cost... View Details
Keywords: Time-Driven Activity-Based Costing; Value-based Health Care; Cost; Health Care and Treatment; Activity Based Costing and Management; Health Industry
da Silva Etges, Anna Paula Beck, Richard D. Urman, Anne Geubelle, Robert Kaplan, and Carisi Anne Polanczyk. "Cost Standard Set Program: Moving Forward to Standardization of Cost Assessment Based on Clinical Condition." Journal of Comparative Effectiveness Research 11, no. 17 (December 2022): 1219–1223.
- September 2022
- Article
Human Versus Machine: A Comparison of Robo-Analyst and Traditional Research Analyst Investment Recommendations
By: Braiden Coleman, Kenneth J. Merkley and Joseph Pacelli
We provide the first comprehensive analysis of the properties of investment recommendations generated by “Robo-Analysts,” which are human analyst-assisted computer programs conducting automated research analysis. Our results indicate that Robo-Analyst recommendations... View Details
Keywords: Fintech; Analysts; Robo-analysts; Investment Recommendations; Investment; Information Technology; Performance
Coleman, Braiden, Kenneth J. Merkley, and Joseph Pacelli. "Human Versus Machine: A Comparison of Robo-Analyst and Traditional Research Analyst Investment Recommendations." Accounting Review 97, no. 5 (September 2022): 221–244.