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Show Results For
- All HBS Web
(11,993)
- People (75)
- News (2,985)
- Research (3,807)
- Events (39)
- Multimedia (351)
- Faculty Publications (2,470)
- 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.
- 31 Jul 2010
- News
Learning to Discount All Those Juicy Discount Offers
- 01 Sep 2011
- News
You’re Never Done Learning
The popular Career Webinar series returns this fall with a full slate of targeted, practical sessions presented by Alumni Career & Professional Development. Hoping to increase your personal engagement at work? Looking View Details
- 2022
- Chapter
Lessons Learned from Support to Business during COVID-19
By: Gabriel Chodorow-Reich, Benjamin Iverson and Adi Sunderam
The authors survey the new federal subsidies and loans provided to businesses in the first year of the pandemic—including the Paycheck Protection Program (PPP), the Economic Injury Disaster Loan (EIDL) program, and aid targeted at specific industries such as airlines... View Details
Chodorow-Reich, Gabriel, Benjamin Iverson, and Adi Sunderam. "Lessons Learned from Support to Business during COVID-19." Chap. 4 in Recession Remedies: Lessons Learned from the U.S. Economic Policy Response to COVID-19, edited by Wendy Edelberg, Louise Sheiner, and David Wessel, 123–162. Brookings Institution Press, 2022.
- 25 Jan 2016
- News
Problem-based learning and the case method
- 19 Feb 2021
- News
Lessons Learned from Research
- 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.)
- Jul 29 2015
- Testimonial
A Rich Learning Experience
- 01 Dec 2011
- News
Up the Learning Curve
- 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.)
- 29 Apr 2025
- News
How Duolingo Aims to Diversify Beyond Language Learning
- 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).
- 1 Apr 1992
- Conference Presentation
Motivation, Creativity, and Learning
By: R. Conti, Teresa M. Amabile and S. Pollack
- 29 Aug 2018
- Blog Post
From the Classroom to the Workplace: How I Applied Learnings to my Internship
The first year at Harvard business School gives you a breadth of courses to sink your teeth into. One of the real benefits of studying such a range of materials in the first year, is how easily I was able to... View Details
Keywords: Consumer Products / Retail
- 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.
- 21 Feb 2019
- Blog Post
Machine Learning and Behavioral Economics
of a real diversity of applications, from consumer apps to research in things like healthcare and energy management. The philosophical implications are enormous: machine learning is going View Details
- 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
- 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).)