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Show Results For
- All HBS Web
(13,134)
- People (70)
- News (4,039)
- Research (5,713)
- Events (60)
- Multimedia (96)
- Faculty Publications (2,503)
- 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).
- 1998
- Working Paper
Do Firms Learn to Create Value? The Case of Alliances
By: Bharat Anand and Tarun Khanna
- 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
- May 2011
- Book Review
Book review of Learning by Example: Imitation and Innovation at a Global Bank, by David Strang.
Kanter, Rosabeth M. "Book review of Learning by Example: Imitation and Innovation at a Global Bank, by David Strang." American Journal of Sociology 116, no. 6 (May 2011).
- 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
How Do Voters Respond to Cues by Charismatic Leaders? Evidence from Brazil
By: Paula Rettl
While elite-cue effects on public opinion are well-documented, questions remain as
to when and why voters use elite cues to inform their opinions and behaviors. This
study contributes to answer these questions by testing whether voters react to cues
by charismatic... View Details
Keywords: Elites; Public Engagement; Politics; Political Affiliation; Political Campaigns; Political Influence; Political Leadership; Political Economy; Survey Research; COVID-19; COVID-19 Pandemic; COVID; Cognitive Psychology; Cognitive Biases; Political Elections; Voting; Power and Influence; Identity; Behavior; Latin America; Brazil
Rettl, Paula. "How Do Voters Respond to Cues by Charismatic Leaders? Evidence from Brazil." Harvard Business School Working Paper, No. 24-022, October 2023. (Revised June 2025.)
- 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).
- 05 Jul 2006
- Working Paper Summaries
Do Managers’ Heuristics Affect R&D Performance Volatility? A Simulation Informed by the Pharmaceutical Industry
- 04 Jan 2011
- Working Paper Summaries
The Learning Effects of Monitoring
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
- 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.
- 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
- 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–February 2025
- Article
Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing
By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
- 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.)
- 2017
- Working Paper
What Else Do Shareholders Want? Shareholder Proposals Contested by Firm Management
By: Eugene F. Soltes, Suraj Srinivasan and Rajesh Vijayaraghavan
Shareholder proposals provide investors an opportunity to exercise their decision rights within firms, but managers can seek permission from the Securities and Exchange Commission (SEC) to dismiss proposals. We find that managers seek to exclude 39% of all proposals... View Details
Soltes, Eugene F., Suraj Srinivasan, and Rajesh Vijayaraghavan. "What Else Do Shareholders Want? Shareholder Proposals Contested by Firm Management." Harvard Business School Working Paper, No. 16-132, May 2016. (Revised October 2017.)
- July–September 2020
- Article
Innovation Contest: Effect of Perceived Support for Learning on Participation
By: Olivia Jung, Andrea Blasco and Karim R. Lakhani
Background: Frontline staff are well positioned to conceive improvement opportunities based on first-hand knowledge of what works and does not work. The innovation contest may be a relevant and useful vehicle to elicit staff ideas. However, the success of the... View Details
Keywords: Contest; Innovation; Employee Engagement; Organizational Learning; Health Care; Health Care Delivery; Innovation and Invention; Organizations; Learning; Employees; Perception; Health Care and Treatment
Jung, Olivia, Andrea Blasco, and Karim R. Lakhani. "Innovation Contest: Effect of Perceived Support for Learning on Participation." Health Care Management Review 45, no. 3 (July–September 2020): 255–266.