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(13,094)
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- Faculty Publications (2,488)
Show Results For
- All HBS Web
(13,094)
- People (70)
- News (4,035)
- Research (5,699)
- Events (60)
- Multimedia (96)
- Faculty Publications (2,488)
- 1998
- Working Paper
Do Firms Learn to Create Value? The Case of Alliances
By: Bharat Anand and Tarun Khanna
- August 2020 (Revised September 2020)
- Technical Note
Assessing Prediction Accuracy of Machine Learning Models
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
- Web
Teaching by the Case Method - Christensen Center for Teaching & Learning
Teaching by the Case Method Case Method in Practice Preparing to Teach Leading in the Classroom Providing Assessment & Feedback Sample Class Play Video Chris Christensen described case method teaching as "the art of managing... View Details
- July 19, 2021
- Article
Do Most Family Businesses Really Fail by the Third Generation?
By: Josh Baron and Rob Lachenauer
Perhaps the most commonly-cited statistic about family businesses is their failure rates. Most articles or speeches about family businesses start with some version of the “three-generation rule,” which suggests that most don’t survive beyond three generations. But that... View Details
Baron, Josh, and Rob Lachenauer. "Do Most Family Businesses Really Fail by the Third Generation?" Harvard Business Review (website) (July 19, 2021).
- December 2019
- Supplement
Lettuce Entertain You Enterprises (B): Doing Right by Do-Rite Donuts
By: Lena G. Goldberg and Michael S. Kaufman
Goldberg, Lena G., and Michael S. Kaufman. "Lettuce Entertain You Enterprises (B): Doing Right by Do-Rite Donuts." Harvard Business School Supplement 320-084, December 2019.
- 2017
- Article
Organizational Support for Learning and Contribution to Improvement by Frontline Staff
By: Olivia Jung, Andrea Blasco and Karim R. Lakhani
Jung, Olivia, Andrea Blasco, and Karim R. Lakhani. "Organizational Support for Learning and Contribution to Improvement by Frontline Staff." Academy of Management Best Paper Proceedings (2017).
- 2025
- Working Paper
Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships
between customer states, company actions, and long-term value. However, its practical implementation often faces significant
challenges.... View Details
Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
- January 2015 (Revised April 2015)
- Case
Zeal: Launching Personalized and Social Learning
By: John J-H Kim and Christine S. An
Set in 2014, this case follows John Danner and his team at Zeal as they consider their product development strategy. In February 2013, serial entrepreneurs John Danner and Sanjay Noronha co-found Zeal, an education technology start up providing a web-based, mobile... View Details
Keywords: Entrepreneurship; Education Technology; MVP; Product Development; Product Market Fit; Monetization Strategy; SaaS Business Models; Education; Personalized Learning
Kim, John J-H, and Christine S. An. "Zeal: Launching Personalized and Social Learning." Harvard Business School Case 315-052, January 2015. (Revised April 2015.)
- 2016
- Article
Learning By Contributing: Gaining Competitive Advantage Through Contributing to Public Goods
By: Frank Nagle
Nagle, Frank. "Learning By Contributing: Gaining Competitive Advantage Through Contributing to Public Goods." Academy of Management Best Paper Proceedings (2016).
- 04 Jan 2011
- Working Paper Summaries
The Learning Effects of Monitoring
- Research Summary
Overview
Professor Myers studies the ways people learn from their own—and others’—experiences at work, with a particular emphasis on learning in health care organizations and emergency medical contexts. Though his interest is in individual-level learning, he focuses in... View Details
Keywords: Learning And Development; Learning Organizations; Learning By Doing; Health Care Industry; Innovation; Identity Construction; Medical Error; Knowledge Development; Knowledge Sharing; Knowledge Work; Learning; Leadership Development; Knowledge Management; Collaborative Innovation and Invention; Health Industry; United States; Singapore; Asia
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
- 2025
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
- 05 Jul 2006
- Working Paper Summaries
Do Managers’ Heuristics Affect R&D Performance Volatility? A Simulation Informed by the Pharmaceutical Industry
Donors are Turned Off by Overhead Costs. Here's What Charities Can Do
Elizabeth A. Keenan and colleagues find that charitable donors are willing to stomach the idea of overhead costs—as long as they know someone else’s donation is covering them. A field study helped one organization nearly triple its solicited donations. View Details
- 2014
- Working Paper
Modeling Money Market Spreads: What Do We Learn about Refinancing Risk?
By: Vincent Brousseau, Kleopatra Nikolaou and Huw Pill
Brousseau, Vincent, Kleopatra Nikolaou, and Huw Pill. "Modeling Money Market Spreads: What Do We Learn about Refinancing Risk?" Finance and Economics Discussion Series (Federal Reserve Board), No. 2014-112, November 2014.
- 19 Nov 2012
- Research & Ideas
LEED-ing by Example
Unit at Harvard Business School. "For example, procurement policies could serve a demonstration role that would stimulate private demand by making people more aware of green buildings. They might also cover the start-up costs of... View Details
- 2017
- Working Paper
Learning by Doing: The Value of Experience and the Origins of Skill for Mutual Fund Managers
By: Elisabeth Kempf, Alberto Manconi and Oliver Spalt
Learning by doing matters for professional investors. We develop a new methodology to show that mutual fund managers outperform in industries where they have obtained experience on the job. The key to our identification strategy is that we look "inside" funds and... View Details
Kempf, Elisabeth, Alberto Manconi, and Oliver Spalt. "Learning by Doing: The Value of Experience and the Origins of Skill for Mutual Fund Managers." SSRN Working Paper Series, No. 2124896, May 2017.