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Show Results For
- All HBS Web
(10,190)
- People (64)
- News (3,421)
- Research (4,031)
- Events (30)
- Multimedia (61)
- Faculty Publications (1,447)
- 18 Mar 2018
- Working Paper Summaries
Thanks for Nothing: Expressing Gratitude Invites Exploitation by Competitors
- 25 Jan 2016
- News
Problem-based learning and the case method
- 2019
- Article
Fair Algorithms for Learning in Allocation Problems
By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman
Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended).... View Details
Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth, and Zachary Schutzman. "Fair Algorithms for Learning in Allocation Problems." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 170–179.
- 01 Apr 1997
- News
Learning from the Past
led it back to profitability during the oil boom of the 1970s. By 1983, however, boom had turned to bust. After restructuring the company to a more suitable size, Strassler cashed out and helped his brother launch a family-run investment... View Details
Keywords: James E. Aisner
- June 2024
- Article
Rationalizing Outcomes: Interdependent Learning in Competitive Markets
By: Anoop R. Menon and Dennis Yao
In this article we use simulation models to explore interdependent learning in competitive markets. Such interactions require attention to both the mental representations held by the management of the focal firm as well as the beliefs of that management about the... View Details
Keywords: Mental Models; Strategic Interactions; Rationalization; Explanation-based View; Competition
Menon, Anoop R., and Dennis Yao. "Rationalizing Outcomes: Interdependent Learning in Competitive Markets." Strategy Science 9, no. 2 (June 2024): 97–117.
- 01 Jun 2001
- News
Richard Pechter: Learning New Lessons
to figure out why some schools weren’t working. Now, with a humbling year of teaching under his belt, he admits that he still doesn’t have the answers and may never become the “master” he once was on Wall Street. “The truth is, I’ve View Details
- 21 Aug 2019
- Research & Ideas
What Machine Learning Teaches Us about CEO Leadership Style
is a writer based in the Boston area. [Image: ConceptCafe] Related Reading: Will Machine Learning Make You a Better Manager? The Better Way to Forecast the Future Working Paper: CEO Behavior and Firm Performance What do you View Details
Keywords: by Michael Blanding
- February 26, 2024
- Article
Making Workplaces Safer Through Machine Learning
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details
Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms
Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Making Workplaces Safer Through Machine Learning." Regulatory Review (February 26, 2024).
- January 2008
- Article
Learning the Fine Art of Collaboration
By: Alan MacCormack and Theodore Forbath
Innovations are increasingly brought to the market by networks of firms, selected for their unique capabilities and operating in a coordinated manner. This collaborative model demands that firms develop different skills, yet despite this need, there is little guidance... View Details
Keywords: Digital Platforms
MacCormack, Alan, and Theodore Forbath. "Learning the Fine Art of Collaboration." Forethought. Special Issue on HBS Centennial. Harvard Business Review 86, no. 1 (January 2008): 10–11.
- Jun 22 2016
- Testimonial
Learning from Peers in a Truly Open Environment
- 2013
- Chapter
Discussion of "Industrial Policies, the Creation of a Learning Society, and Economic Development" by Bruce Greenwald and Stiglitz Stiglitz
By: Josh Lerner
Lerner, Josh. Discussion of "Industrial Policies, the Creation of a Learning Society, and Economic Development" by Bruce Greenwald and Stiglitz Stiglitz. In The Industrial Policy Revolution I: The Role of Government Beyond Ideology. no. 151-1, edited by Joseph E. Stiglitz and Justin Lin Yifu. IEA Conference Volume. London: Palgrave Macmillan, 2013.
- 13 Dec 2007
- Working Paper Summaries
Acting Globally but Thinking Locally? The Influence of Local Communities on Organizations
Keywords: by Christopher Marquis & Julie Battilana
- 21 Feb 2019
- Blog Post
Machine Learning and Behavioral Economics
anchored in his personal sense of mission. “I’m very interested in health care because of the experience of growing up with my late twin brother, who had cerebral palsy,” Bracaglia says. “I saw firsthand how difficult it was to be encumbered View Details
- 10 Apr 2008
- Working Paper Summaries
Where Does it Go? Spending by the Financially Constrained
- 01 May 2019
- Blog Post
Viewpoints: Synthetic Thinking with a Humble Mindset
potential of differences, and the second was the character that deserves trust. Both answers resonated with me and so my question became: “How can I achieve these two goals?” First, to celebrate differences, I believe we should shift from binary View Details
- 04 Nov 2015
- News
Why Organizations Need to Make Learning Hard
- 17 Feb 2003
- Research & Ideas
Rating Fund Managers by the Company They Keep
Many tools for rating the performance of mutual funds and their managers rely heavily on past performance. But what about the future? Now comes a system devised by Randolph B. Cohen and Joshua D. Coval of Harvard Business School, and... View Details
Keywords: by Ann Cullen
- July–August 2023
- Article
Demand Learning and Pricing for Varying Assortments
By: Kris Ferreira and Emily Mower
Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details
Keywords: Experiments; Pricing And Revenue Management; Retailing; Demand Estimation; Pricing Algorithm; Marketing; Price; Demand and Consumers; Mathematical Methods
Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management 25, no. 4 (July–August 2023): 1227–1244. (Finalist, Practice-Based Research Competition, MSOM (2021) and Finalist, Revenue Management & Pricing Section Practice Award, INFORMS (2019).)
- June 2019
- Article
Learning From Mum: Cross-National Evidence Linking Maternal Employment and Adult Children’s Outcomes
By: Kathleen L. McGinn, Mayra Ruiz Castro and Elizabeth Long Lingo
Analyses relying on two international surveys from over 100,000 men and women across 29 countries explore the relationship between maternal employment and adult daughters’ and sons’ employment and domestic outcomes. In the employment sphere, adult daughters, but not... View Details
Keywords: Female Labor Force Participation; Gender Attitudes; Household Labor; Maternal Employment; Social Class; Social Learning Theory; Social Mobility; Employment; Gender; Attitudes; Household; Labor; Learning; Outcome or Result
McGinn, Kathleen L., Mayra Ruiz Castro, and Elizabeth Long Lingo. "Learning From Mum: Cross-National Evidence Linking Maternal Employment and Adult Children’s Outcomes." Work, Employment and Society 33, no. 3 (June 2019): 374–400.