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Show Results For
- All HBS Web
(11,910)
- People (75)
- News (2,979)
- Research (3,791)
- Events (39)
- Multimedia (347)
- Faculty Publications (2,455)
- 15 Sep 2023
- News
Want to Thrive? First, Learn to Fail.
- 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
- 28 Feb 2011
- News
Don’t Try To Learn From Failure
- Jan 31 2023
- Testimonial
Learning to Create a Bigger Pie
- Jul 18 2018
- Testimonial
Learning What It Takes to Succeed
- 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.)
- 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.)
- 01 Oct 2018
- News
Learning About Leadership
years––in addition to my two years at HBS––being a really critical student of company management teams. One of the great things about being an equity analyst is you get to meet with lots of CEOs and lots of... View Details
Keywords: Finance
- Blog
When Generations Learn Together
Venture Capital, and we had a great experience. We reviewed cases and learned from our assigned teams, but also talked between and after classes to share ideas with each other. I thought the material might... View Details
- 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.
- 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.)
- 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.
- 22 Feb 2022
- News
Vision: Learning Curve
poverty,” Gupta says. What they lack are the awareness, the information, and the tools required to take a more active role in supporting their children’s early cognitive development—all of which are gaps that Rocket View Details
- Article
Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications
By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning... View Details
Keywords: Big Data; Data Science And Analytics Management; Governance And Compliance; Organizational Systems And Technology; Anomaly Detection; Application Performance Management; Machine Learning; Enterprise Architecture; Analytics and Data Science
Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the Hawaii International Conference on System Sciences 52nd (2019): 5827–5836.
- October 2024
- Technical Note
Association Rule Learning
By: Michael Parzen and Jo Ellery
Parzen, Michael, and Jo Ellery. "Association Rule Learning." Harvard Business School Technical Note 625-065, October 2024.
- October 1989
- Supplement
Learning Co. (D)
Kao, John J. "Learning Co. (D)." Harvard Business School Supplement 490-025, October 1989.
- Dec 22 2014
- Testimonial