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Show Results For
- All HBS Web
(12,688)
- People (75)
- News (2,979)
- Research (3,769)
- Events (39)
- Multimedia (347)
- Faculty Publications (2,455)
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- October 2001
- Article
Speeding Up Team Learning
By: Amy C. Edmondson, Richard Bohmer and Gary P. Pisano
Keywords: Learning
Edmondson, Amy C., Richard Bohmer, and Gary P. Pisano. "Speeding Up Team Learning." Harvard Business Review 79, no. 9 (October 2001): 125–134.
- October 2018
- Case
Learning How to Honnold
By: Eugene F. Soltes, Sara Hess and Dutch Leonard
Alex Honnold is the world’s most accomplished free climber. To many, climbing sheer vertical faces of rock—like the famed El Capitan—without a rope is viewed as not simply risky but reckless. Honnold contrasts this sentiment by presenting his perspective on risk taking... View Details
Soltes, Eugene F., Sara Hess, and Dutch Leonard. "Learning How to Honnold." Harvard Business School Case 119-043, October 2018.
- Article
Selective Attention and Learning
Schwartzstein, Joshua. "Selective Attention and Learning." Journal of the European Economic Association 12, no. 6 (December 2014): 1423–1452. (Online Appendix.)
- Article
Active World Model Learning with Progress Curiosity
By: Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber and Daniel Yamins
World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal... View Details
Kim, Kuno, Megumi Sano, Julian De Freitas, Nick Haber, and Daniel Yamins. "Active World Model Learning with Progress Curiosity." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
- 1 Apr 1992
- Conference Presentation
Motivation, Creativity, and Learning
By: R. Conti, Teresa M. Amabile and S. Pollack
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- March/April 2001
- Article
Organizational Learning in Health Care
By: Richard Bohmer and A. Edmondson
Bohmer, Richard, and A. Edmondson. "Organizational Learning in Health Care." Health Forum Journal (March/April 2001), 32–35.
- summer 1981
- Article
Productivity: Learning from the Japanese
By: Hirotaka Takeuchi
Takeuchi, Hirotaka. "Productivity: Learning from the Japanese." California Management Review (summer 1981).
- July 2022
- Article
A Strategic View of Team Learning in Organizations
By: Jean-François Harvey, Henrik Bresman, Amy C. Edmondson and Gary P. Pisano
Research in strategic management and organizational behavior has increasingly focused on understanding how organizations achieve and sustain performance in fast-changing environments. Strategy research suggests that senior managers, through their decisions, influence... View Details
Keywords: Strategic Management; Organization Behavior; Teams; Organizational Capabilities; Groups and Teams; Learning; Management; Decision Making; Performance; Organizational Design
Harvey, Jean-François, Henrik Bresman, Amy C. Edmondson, and Gary P. Pisano. "A Strategic View of Team Learning in Organizations." Academy of Management Annals 16, no. 2 (July 2022): 476–507.
- 08 Sep 2015
- Research & Ideas
Knowledge Transfer: You Can't Learn Surgery By Watching
While some lessons can be learned by watching—a parent’s reaction after touching a hot stove can be a good lesson for a youngster on dangers in the kitchen—other lessons are harder to learn through... View Details
- 27 Jun 2007
- Lessons from the Classroom
Learning to Make the Move to CEO
"Everyone in this program has earned their stripes at a very senior leadership level," Simons notes. "It's important to have that kind of person because participants work in groups and in very intensive classroom situations. The ability to teach and to... View Details
- 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.
- 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).
- April 2010
- Case
School of One: Reimagining How Students Learn
By: Stacey M. Childress, James Weber and Matthew Adams Haldeman
School of One was a start-up with a new approach to learning. Instead of one teacher delivering the entire math curriculum to a class of 20-25 students, School of One utilized a technology platform that allowed several teachers to collectively oversee the learning of a... View Details
Childress, Stacey M., James Weber, and Matthew Adams Haldeman. "School of One: Reimagining How Students Learn." Harvard Business School Case 310-053, April 2010.
- 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 2023
- Technical Note
Enhancing Your Contribution to Group Learning in Marketing
By: Jill Avery
How to enhance your contribution to group learning in RC Marketing. Includes information on the learning contract in a case class and the respective roles of instructor and students, how to analyze a marketing case, how to participate in a marketing case discussion,... View Details
Keywords: Marketing
- February 2021
- Tutorial
Assessing Prediction Accuracy of Machine Learning Models
By: Michael Toffel and Natalie Epstein
This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and... View Details
- 19 Jun 2013 - 21 Jun 2013
- Keynote Speech
Empowering the Learner at Work: The Three Stances Framework
By: Michele Rigolizzo, David Perkins and Marga Biller
Research suggests that work-relevant learning occurs largely on the job. However, in many situations workers do not learn nearly as much as they might. The "three stances" model helps to explain why. When someone undertakes a task, the person may adopt a completion,... View Details
Keywords: Learning And Development; Learning Organizations; Learning To Learn; Organizational Culture; Organizational Design; Learning
Rigolizzo, Michele, David Perkins, and Marga Biller. "Empowering the Learner at Work: The Three Stances Framework." Learning Managers Forum, United Nations, Turin, Italy, June 19–21, 2013. (The Learning Managers Forum provides the leaders of the UN Learning Community with opportunities to:
SHARE and analyze innovation, knowledge, and best practices;
EXPLORE new ways to respond to the challenges of your daily work;
SHAPE the UN Learning Community of the future.)