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Show Results For
- All HBS Web
(11,934)
- People (75)
- News (2,995)
- Research (3,832)
- Events (39)
- Multimedia (354)
- Faculty Publications (2,497)
- 05 Nov 2019
- News
Learning from a Different Past
- 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
- 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.)
- 11 Sep 2009
- News
Learning To Create Better Collaboration Hubs
- 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 2016
- Article
Learning from Practice
Wheeler, Michael A. "Learning from Practice." Negotiation Journal 32, no. 4 (October 2016): 345–355.
- 01 Mar 2013
- News
Learning from Lincoln
- 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.
- 11 Dec 2013
- News
Learn How to Spot Portable Talent
- 04 Jan 2011
- Working Paper Summaries
The Learning Effects of Monitoring
- 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.)
- 14 Apr 2016
- Blog Post
What I Learned at SVMP
gather on campus to read cases, learn from HBS faculty, and understand more about the MBA program. Find out what four SVMPers (who participated in the program last summer) took away from the experience. ... View Details
- 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.)
- 19 Sep 2014
- News
Microbursts in learning
- October 20, 2020
- Article
Expanding AI's Impact with Organizational Learning
By: Sam Ransbotham, Shervin Khodabandeh, David Kiron, François Candelon, Michael Chu and Burt LaFountain
Most companies developing AI capabilities have yet to gain significant financial benefits from their efforts. Only when organizations add the ability to learn with AI do significant benefits become likely. View Details
Ransbotham, Sam, Shervin Khodabandeh, David Kiron, François Candelon, Michael Chu, and Burt LaFountain. "Expanding AI's Impact with Organizational Learning." MIT Sloan Management Review, Big Ideas Artificial Intelligence and Business Strategy Initiative (website) (October 20, 2020). (Findings from the 2020 Artificial Intelligence
Global Executive Study and Research Project.)
- 01 Apr 1998
- News
World Class Learning
network offers help on a range of issues, Walker says, from something as simple as how to buy groceries to something as serious as the emotional stresses of displacement and change in family life. "We also... View Details
Keywords: Eileen K. McCluskey
- 2005
- Conference Presentation
Learning from Samples of Millions or More: Overcoming Organizational Barriers to Inferential Learning
By: Ranjay Gulati
Learning to Successfully Hire in Online Labor Markets
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... View Details
- 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.
- 06 Oct 2016
- Video