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Show Results For
- All HBS Web
(3,998)
- People (2)
- News (544)
- Research (2,843)
- Events (51)
- Multimedia (21)
- Faculty Publications (2,045)
- 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.)
- 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
- 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
- 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.
"Learning Through Noticing: Theory and Evidence from a Field Experiment"
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
- Article
'Making Book Against Oneself,' the Independence Axiom, and Non-Linear Utility Theory
By: Jerry R. Green
An individual with known preferences over lotteries can be led to accept random wealth distributions different from his initial endowment by a sequential process in which some uncertainty is resolved and he is offered a new lottery in place of the remaining... View Details
Green, Jerry R. "'Making Book Against Oneself,' the Independence Axiom, and Non-Linear Utility Theory." Quarterly Journal of Economics 102, no. 4 (November 1987): 785–796.
- 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
- 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.)
- 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.
- February 2018 (Revised June 2021)
- Case
New Constructs: Disrupting Fundamental Analysis with Robo-Analysts
By: Charles C.Y. Wang and Kyle Thomas
This case highlights the business challenges associated with a financial technology firm, New Constructs, that created a technology that can quickly parse complicated public firm financials to paint a clearer economic picture of firms, remove accounting distortions,... View Details
Keywords: Fundamental Analysis; Machine Learning; Robo-analysts; Financial Statements; Financial Reporting; Analysis; Information Technology; Accounting Industry; Financial Services Industry; Information Technology Industry; North America; Tennessee
Wang, Charles C.Y., and Kyle Thomas. "New Constructs: Disrupting Fundamental Analysis with Robo-Analysts." Harvard Business School Case 118-068, February 2018. (Revised June 2021.)
- 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
- 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
- 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
- 2019
- Working Paper
Self-Interest: The Economist's Straitjacket
By: Robert Simons
This paper examines contemporary economic theories that focus on the design and management of business organizations. In the first part of the paper, a taxonomy is presented that describes the different types of economists interested in this subject—market economists,... View Details
Keywords: Self-interest; Economist; Moral Philosophers; Regulation; Capture; Organization Design; Economy Theory; Organization Theory; Management Theory; Commitment; Controls; Governance; Customers; Conflict of Interests; Business or Company Management; Competition; Organizational Design; Business Education; Agency Theory; Economics; Theory; Boundaries
Simons, Robert. "Self-Interest: The Economist's Straitjacket." Harvard Business School Working Paper, No. 16-045, October 2015. (Revised January 2019.)
- 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.
- 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).
- 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.
- Article
Who, When, and Why: A Machine Learning Approach to Prioritizing Students at Risk of Not Graduating High School on Time
By: Everaldo Aguiar, Himabindu Lakkaraju, Nasir Bhanpuri, David Miller, Ben Yuhas, Kecia Addison and Rayid Ghani
Aguiar, Everaldo, Himabindu Lakkaraju, Nasir Bhanpuri, David Miller, Ben Yuhas, Kecia Addison, and Rayid Ghani. "Who, When, and Why: A Machine Learning Approach to Prioritizing Students at Risk of Not Graduating High School on Time." Proceedings of the International Learning Analytics and Knowledge Conference 5th (2015).