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Show Results For
- All HBS Web
(4,105)
- People (2)
- News (544)
- Research (2,834)
- Events (51)
- Multimedia (21)
- Faculty Publications (2,045)
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- 2017
- Working Paper
The Need for Speed: Effects of Uncertainty Reduction in Patenting
By: Mike Horia Teodorescu
Patents are essential in commerce to establish property rights for ideas and to give equal protection to firms that develop new technologies. Young firms especially depend on the protection of intellectual property to bring a product from concept to market. However,... View Details
- January 2024 (Revised February 2024)
- Case
Data-Driven Denim: Financial Forecasting at Levi Strauss
By: Mark Egan
The case examines Levi Strauss’ journey in implementing machine learning and AI into its financial forecasting process. The apparel company partnered with the IT company Wipro in 2017 to develop a machine learning algorithm that could help Levi Strauss forecast its... View Details
Keywords: Investor Relations; Forecasting; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Digital Transformation; Apparel and Accessories Industry; United States
Egan, Mark. "Data-Driven Denim: Financial Forecasting at Levi Strauss." Harvard Business School Case 224-029, January 2024. (Revised February 2024.)
- July 1981
- Article
On Market Timing and Investment Performance Part I: An Equilibrium Theory of Value for Market Forecasts
By: Robert C. Merton
Merton, Robert C. "On Market Timing and Investment Performance Part I: An Equilibrium Theory of Value for Market Forecasts." Journal of Business 54, no. 3 (July 1981): 363–406.
- Article
Learning Through Noticing: Theory and Evidence from a Field Experiment
By: Rema Hanna, Sendhil Mullainathan and Joshua Schwartzstein
We consider a model of technological learning under which people "learn through noticing": they choose which input dimensions to attend to and subsequently learn about from available data. Using this model, we show how people with a great deal of experience may... View Details
Hanna, Rema, Sendhil Mullainathan, and Joshua Schwartzstein. "Learning Through Noticing: Theory and Evidence from a Field Experiment." Quarterly Journal of Economics 129, no. 3 (August 2014): 1311–1353. (Online Appendix.)
- 2025
- Working Paper
Prices and Concentration: A U-shape? Theory and Evidence from Renewables
By: Michele Fioretti, Junnan He and Jorge Tamayo
We show that when firms compete via supply functions, transferring high-cost
capacity to the largest, most efficient firm—thereby diversifying its production technologies
while increasing concentration—can lower prices by prompting the leader
to expand output and... View Details
Keywords: Diversified Production Technologies; Concentration Levels; Market Power; Supply Function Equilibrium; Hydropower; Energy Transition; Renewable Energy; Price; Competition; Supply and Industry; Energy Industry; Colombia
Fioretti, Michele, Junnan He, and Jorge Tamayo. "Prices and Concentration: A U-shape? Theory and Evidence from Renewables." Harvard Business School Working Paper, No. 25-049, April 2025.
- November 2006 (Revised June 2007)
- Background Note
Technical Game Theory Note #3: The Relationship Between Bimatrix and Extensive-Form Games and the Meaning of "Strategy"
By: Dennis A. Yao
Discusses extensive-form games and relates them to bimatrix games. View Details
- April 29, 2020
- Article
The Case for AI Insurance
By: Ram Shankar Siva Kumar and Frank Nagle
When organizations place machine learning systems at the center of their businesses, they introduce the risk of failures that could lead to a data breach, brand damage, property damage, business interruption, and in some cases, bodily harm. Even when companies are... View Details
Keywords: Artificial Intelligence; Machine Learning; Internet and the Web; Safety; Insurance; AI and Machine Learning; Cybersecurity
Kumar, Ram Shankar Siva, and Frank Nagle. "The Case for AI Insurance." Harvard Business Review Digital Articles (April 29, 2020).
- December 2014
- Article
When to Sell Your Idea: Theory and Evidence from the Movie Industry
By: Hong Luo
I study a model of investment and sale of ideas and test its empirical implications using a novel data set from the market for original movie ideas. Consistent with the theoretical results, I find that buyers are reluctant to meet unproven sellers for early-stage... View Details
Keywords: Market For Ideas; Information Asymmetry; Expropriation Risk; Intermediary; Intellectual Property Protection; Strategy; Intellectual Property; Film Entertainment; Sales; Entertainment and Recreation Industry
Luo, Hong. "When to Sell Your Idea: Theory and Evidence from the Movie Industry." Management Science 60, no. 12 (December 2014): 3067–3086.
- 2022
- Article
The Ordinary Concept of a Meaningful Life: The Role of Subjective and Objective Factors in Third-Person Attributions of Meaning
By: Michael Prinzing, Julian De Freitas and Barbara L. Fredrickson
The desire for a meaningful life is ubiquitous, yet the ordinary concept of a meaningful life is poorly understood. Across six experiments (total N = 2,539), we investigated whether third-person attributions of meaning depend on the psychological states an agent... View Details
Keywords: Experimental Philosophy; Folk Theories; Meaning In Life; Moral Psychology; Positive Psychology; Moral Sensibility; Satisfaction
Prinzing, Michael, Julian De Freitas, and Barbara L. Fredrickson. "The Ordinary Concept of a Meaningful Life: The Role of Subjective and Objective Factors in Third-Person Attributions of Meaning." Journal of Positive Psychology 17, no. 5 (2022): 639–654.
- December 1984
- Article
The Evolution of the Labor Market for Medical Interns and Residents: A Case Study in Game Theory
By: A. E. Roth
Roth, A. E. "The Evolution of the Labor Market for Medical Interns and Residents: A Case Study in Game Theory." Journal of Political Economy 92, no. 6 (December 1984): 991–1016.
- October 1989 (Revised May 1998)
- Teaching Note
Collision Course in Commercial Aircraft: Boeing-Airbus-McDonnell Douglas--1991 (A) & New Theories of International Trade, Teaching Note
By: David B. Yoffie
Teaching Note for (9-391-106) and (9-390-001). View Details
- 2024
- Working Paper
Sharing Models to Interpret Data
By: Joshua Schwartzstein and Adi Sunderam
To understand new data, we share models or interpretations with others. This paper studies such exchanges of models in a community. The key assumption is that people adopt the interpretation in their community that best explains the data, given their prior beliefs. An... View Details
Keywords: Social Learning Theory; Theory; Social Issues; Cognition and Thinking; Social and Collaborative Networks; Attitudes
Schwartzstein, Joshua, and Adi Sunderam. "Sharing Models to Interpret Data." Harvard Business School Working Paper, No. 25-011, August 2024. (Revised August 2024.)
- Teaching Interest
Overview
I served as a Teaching Fellow for the Applied Business Analytics second-year MBA course. This course sought to teach MBA students how businesses can improve their strategic decisions using statistics and machine learning techniques. (e.g., regression models, random... View Details
- January 2021
- Article
Institutional-Political Scenarios for Anthropocene Society
By: Andrew J. Hoffman and P. Devereaux Jennings
Natural scientists have proposed that humankind has entered a new geologic epoch. Termed the “Anthropocene,” this new reality revolves around the central role of human activity in multiple Earth ecosystems. That challenge requires a rethinking of social science... View Details
Keywords: Institutional Change; Institutional Theory; Natural Environment; Society; Environmental Sustainability
Hoffman, Andrew J., and P. Devereaux Jennings. "Institutional-Political Scenarios for Anthropocene Society." Business & Society 60, no. 1 (January 2021): 57–94.
- February 2015
- Article
'Open' Disclosure of Innovations, Incentives and Follow-on Reuse: Theory on Processes of Cumulative Innovation and a Field Experiment in Computational Biology
By: Kevin J. Boudreau and Karim R. Lakhani
Most of society's innovation systems―academic science, the patent system, open source, etc.―are "open" in the sense that they are designed to facilitate knowledge disclosure among innovators. An essential difference across innovation systems is whether disclosure is of... View Details
Keywords: Open Innovation; Cumulative Innovation; Incentives; Search; Disclosure And Access; Knowledge Sharing; Motivation and Incentives; Collaborative Innovation and Invention
Boudreau, Kevin J., and Karim R. Lakhani. "'Open' Disclosure of Innovations, Incentives and Follow-on Reuse: Theory on Processes of Cumulative Innovation and a Field Experiment in Computational Biology." Research Policy 44, no. 1 (February 2015): 4–19.
- 13 Jul 2012
- Working Paper Summaries
De Gustibus non est Taxandum: Theory and Evidence on Preference Heterogeneity and Redistribution
Keywords: by Benjamin Lockwood & Matthew Weinzierl
- 2016
- Chapter
Wrong Paths to Right: Defining Morality With or Without a Clear Red Line
By: Ryann Elizabeth Manning and Michel Anteby
The extensive literature on organizational wrongdoing tends to assume that a clear red line divides the moral terrain. However, many organizations function not as moral orders, but as moral pursuits in which there is intentionally no explicit definition of right and... View Details
Keywords: Organizational Behavior; Organizational Theory; Sociology Of Ethics And Morality; Morality; Organizational Culture; Culture; Ethics; Africa; North and Central America
Manning, Ryann Elizabeth, and Michel Anteby. "Wrong Paths to Right: Defining Morality With or Without a Clear Red Line." In Organizational Wrongdoing: Key Perspectives and New Directions, edited by Donald Palmer, Kristen Smith-Crowe, and Royston Greenwood, 47–71. Cambridge Companions to Management. Cambridge, UK: Cambridge University Press, 2016.
- Article
Why A Behavioral Theory of Labor Negotiations Remains a Triumph at Fifty but the Labels 'Distributive' and 'Integrative' Should Be Retired
Richard Walton and Robert McKersie's closeness to practice, disciplinary rigor, and successful search for powerful generalizations help explain the lasting impact of the Behavioral Theory of Labor Relations. Ironically, the names they chose for the fundamental... View Details
Sebenius, James K. "Why A Behavioral Theory of Labor Negotiations Remains a Triumph at Fifty but the Labels 'Distributive' and 'Integrative' Should Be Retired." Negotiation Journal 31, no. 4 (October 2015): 335–347.
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- September 2022
- Article
A Spanner in the Works: Category-Spanning Entrants and Audience Valuation of Incumbents
By: Rory M. McDonald and Ryan T. Allen
Previous work has examined how audiences evaluate category-spanning organizations, but little is known about how their entrance affects evaluations of other, proximate organizations. We posit that the emergence of category-spanning entrants signals the advent of an... View Details
Keywords: Emerging Industries; Industry Dynamics; Organization And Management Theory; Technology Strategy; Technology And Innovation Management; Entrepreneurship; Information Technology; Strategy; Management; Theory; Innovation and Management
McDonald, Rory M., and Ryan T. Allen. "A Spanner in the Works: Category-Spanning Entrants and Audience Valuation of Incumbents." Strategy Science 7, no. 6 (September 2022): 190–209.