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Show Results For
- All HBS Web
(12,589)
- People (75)
- News (2,868)
- Research (3,669)
- Events (32)
- Multimedia (334)
- Faculty Publications (2,356)
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- Article
The Learning Effects of Monitoring
By: Dennis Campbell, Marc Epstein and F. Asis Martinez-Jerez
This paper investigates the relationship between monitoring, decision making, and learning among lower-level employees. We exploit a field-research setting in which business units vary in the "tightness" with which they monitor employee decisions. We find that tighter... View Details
Keywords: Learning; Business or Company Management; Decision Making; Employees; Research; Resignation and Termination; Rights; Business Units; Governance Controls; Performance; Motivation and Incentives
Campbell, Dennis, Marc Epstein, and F. Asis Martinez-Jerez. "The Learning Effects of Monitoring." Accounting Review 86, no. 6 (November 2011): 1909–1934.
- November 2023 (Revised April 2024)
- Case
Khanmigo: Revolutionizing Learning with GenAI
By: William A. Sahlman, Allison M. Ciechanover and Emily Grandjean
Already a leader in the edtech space since its 2008 launch, Khan Academy was now one of the first edtech organizations to embrace generative artificial intelligence ("genAI"). In March 2023, Khan Academy began beta testing Khanmigo, a genAI “guide” and tutor built with... View Details
Keywords: Technology Adoption; Leading Change; Entrepreneurship; Risk and Uncertainty; Education; AI and Machine Learning; Corporate Social Responsibility and Impact; Education Industry; Technology Industry; United States; San Francisco
Sahlman, William A., Allison M. Ciechanover, and Emily Grandjean. "Khanmigo: Revolutionizing Learning with GenAI." Harvard Business School Case 824-059, November 2023. (Revised April 2024.)
- Research Summary
Making Machine Learning Models Fair
The goal of this research direction is to ensure that the machine learning models we build and deploy do not discriminate against individuals from minority groups. View Details
- April 2011
- Article
Strategies for Learning from Failure
By: Amy C. Edmondson
Many executives believe that all failure is bad (although it usually provides lessons)--and that learning from it is pretty straightforward. The author, a professor at Harvard Business School, thinks both beliefs are misguided. In organizational life, she says, some... View Details
Keywords: Learning; Knowledge Use and Leverage; Leadership; Business Processes; Organizational Culture; Failure; Opportunities
Edmondson, Amy C. "Strategies for Learning from Failure." Harvard Business Review 89, no. 4 (April 2011).
- November 2009 (Revised October 2010)
- Case
AME Learning Inc.
By: Thomas R. Eisenmann and Ann Leamon
Justin Joffe is about to graduate from HBS in Spring 2009. He must decide whether to join his father's company, Toronto-based AME Learning, as president working alongside his father who will be CEO. AME has been in business for 12 years, mostly as a small consulting... View Details
Keywords: Business Model; Family Business; Age; Private Equity; Financing and Loans; Growth and Development Strategy; Family and Family Relationships
Eisenmann, Thomas R., and Ann Leamon. "AME Learning Inc." Harvard Business School Case 810-065, November 2009. (Revised October 2010.)
- 2021
- Working Paper
Entrepreneurial Learning and Strategic Foresight
By: Aticus Peterson and Andy Wu
We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that... View Details
Keywords: Experience; Interdependency; Strategic Foresight; Crowdfunding; Timeline; Delay; Forecasting; Entrepreneurship; Learning; Complexity; Forecasting and Prediction; Product Development; Planning
Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Harvard Business School Working Paper, No. 21-123, January 2021. (Revised May 2021.)
- December 2021
- Article
Entrepreneurial Learning and Strategic Foresight
By: Aticus Peterson and Andy Wu
We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that... View Details
Keywords: Crowdfunding; Experience; Prediction; Timeline; Complexity; Entrepreneurship; Learning; Experience and Expertise; Forecasting and Prediction
Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Art. 1. Strategic Management Journal 42, no. 13 (December 2021): 2357–2388. (Lead article.)
- December 2019
- Article
Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning
By: Guofang Huang, Hong Luo and Jing Xia
Pricing idiosyncratic products is often challenging because the seller, ex ante, lacks information about the demand for individual items. This paper develops a model of dynamic pricing for idiosyncratic products that features the optimal stopping structure and a seller... View Details
Keywords: Dynamic Pricing; Idiosyncratic Products; Item-specific Demand; Demand Uncertainty; Active Seller Learning; The Value Of Information; Price; Information; Value; Learning
Huang, Guofang, Hong Luo, and Jing Xia. "Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning." Management Science 65, no. 12 (December 2019): 5556–5583.
- Research Summary
Making Machine Learning Models Interpretable
I work on developing various tools and methodologies which can help decision makers (e.g., doctors, managers) to better understand the predictions of machine learning models. View Details
- October 2017 (Revised April 2018)
- Case
Improving Worker Safety in the Era of Machine Learning (A)
By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
- 17 Jun 2019
- Research & Ideas
What Hospitals Must Learn to Compete
Here, they discuss what it would take to improve the provision of care. Q: Say you’re settling into your seat for a short-haul flight, and your seatmate is a newly installed hospital CEO, determined to... View Details
- October 2016
- Article
Learning from Practice
Wheeler, Michael A. "Learning from Practice." Negotiation Journal 32, no. 4 (October 2016): 345–355.
- March 2015
- Case
Pearson Affordable Learning Fund
By: Michael Chu, Vincent Dessain and Kristina Maslauskaite
An in-house venture capital fund for affordable private schools at the base of the pyramid established by Pearson, the world's largest education company, PALF sought to invest in business models providing superior educational outcomes in emerging markets on a... View Details
Keywords: Impact Investment; Low Cost Private Schools; Investment Fund; Business At The Base Of The Pyramid; Transition; Investment; Development Economics; Business Growth and Maturation; Social Entrepreneurship; Emerging Markets; Private Sector; Education; Education Industry; Asia; Africa
Chu, Michael, Vincent Dessain, and Kristina Maslauskaite. "Pearson Affordable Learning Fund." Harvard Business School Case 315-109, March 2015.
- 1987
- Book
Creativity and Learning
By: Beth A. Hennessey and T. M. Amabile
Hennessey, Beth A., and T. M. Amabile. Creativity and Learning. Washington, D.C.: National Education Association, 1987.
- 04 Jan 2011
- Working Paper Summaries
The Learning Effects of Monitoring
- August 2024
- Background Note
Mitigating Climate Change with Machine Learning
By: Michael W. Toffel, Kelsey Carter, Amy Chambers, Avery Park and Susan Pinckney
This note highlights how machine learning is being used to decarbonize (reduce GHG emissions) several key sectors including electricity, transportation, building, industrial processes, and agriculture -- and how machine learning is being used to accelerate efforts to... View Details
Keywords: Climate; Artificial Intelligence; Adaptation; Climate Change; AI and Machine Learning; Innovation and Invention
Toffel, Michael W., Kelsey Carter, Amy Chambers, Avery Park, and Susan Pinckney. "Mitigating Climate Change with Machine Learning." Harvard Business School Background Note 625-014, August 2024.
- 2005
- Conference Presentation
Learning from Samples of Millions or More: Overcoming Organizational Barriers to Inferential Learning
By: Ranjay Gulati
- July 2007 (Revised November 2007)
- Case
Leasing Computers at Persistent Learning
Newly public Persistent Learning is acquiring vital computer assets. They need to determine how the lease or purchase decision will impact their financial statements, and how the market will react given previously forecast earnings and competitor's accounting. View Details
Shanthikumar, Devin M. "Leasing Computers at Persistent Learning." Harvard Business School Case 108-014, July 2007. (Revised November 2007.)
- January 2023 (Revised May 2023)
- Case
Learning Resources: Driven by Purpose
By: Boris Groysberg, Sarah Mehta and Heather Poco
In January 2023, CEO Rick Woldenberg must make several strategic decisions for his family-owned toy company Learning Resources. View Details
Keywords: Change; Change Management; Ownership; Family Ownership; Leadership; Decisions; Consumer Products Industry; United States; Chicago; Illinois
Groysberg, Boris, Sarah Mehta, and Heather Poco. "Learning Resources: Driven by Purpose." Harvard Business School Case 423-053, January 2023. (Revised May 2023.)
- March 2023
- Article
Learning to Successfully Hire in Online Labor Markets
By: Marios Kokkodis and Sam Ransbotham
Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value of... View Details
Kokkodis, Marios, and Sam Ransbotham. "Learning to Successfully Hire in Online Labor Markets." Management Science 69, no. 3 (March 2023): 1597–1614.