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Show Results For
- All HBS Web
(11,293)
- People (74)
- News (2,858)
- Research (3,800)
- Events (45)
- Multimedia (239)
- Faculty Publications (2,360)
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- September 2006
- Article
The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation
By: Yoella Bereby-Meyer and Alvin E. Roth
In an experiment, players ability to learn to cooperate in the repeated prisoners dilemma was substantially diminished when the payoffs were noisy, even though players could monitor one anothers past actions perfectly. In contrast, in one-time play against a succession... View Details
Bereby-Meyer, Yoella, and Alvin E. Roth. "The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation." American Economic Review 96, no. 4 (September 2006): 1029–1042.
- February 1991
- Article
An Evaluation of Learning in the Bilateral Winner's Curse
By: S. B. Ball, M. H. Bazerman and J. S. Carroll
Keywords: Learning
Ball, S. B., M. H. Bazerman, and J. S. Carroll. "An Evaluation of Learning in the Bilateral Winner's Curse." Organizational Behavior and Human Decision Processes 48, no. 1 (February 1991): 1–22.
- October 2018
- Article
The Operational Value of Social Media Information
By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang
While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to... View Details
Cui, Ruomeng, Santiago Gallino, Antonio Moreno, and Dennis J. Zhang. "The Operational Value of Social Media Information." Special Issue on Big Data in Supply Chain Management. Production and Operations Management 27, no. 10 (October 2018): 1749–1774.
- Research Summary
Experiential Learning and Knowledge Mentors
Dorothy Leonard’s research on innovation and knowledge transfer has always emphasized learning by doing. During the past several years, she has been exploring how organizations can foster faster skills learning. While there are generational differences in... View Details
- August 1995 (Revised July 1997)
- Case
Passion for Learning
Describes the challenges confronting a recent HBS graduate who has started a direct-mail toy company. The entrepreneur must evaluate industry conditions in both toys and direct mail, and determine whether he has developed a viable business concept. Presents detailed... View Details
Keywords: Entrepreneurship
McGahan, Anita M., Dale Coxe, Israel Yellen Ganot, and Greg Keller. "Passion for Learning." Harvard Business School Case 796-057, August 1995. (Revised July 1997.)
- spring 2003
- Article
Learning How and Learning What: Effects of Tacit and Codified Knowledge on Performance Improvement Following Technology Adoption
By: Amy Edmondson, Gary P. Pisano, Richard Bohmer and Ann Winslow
Edmondson, Amy, Gary P. Pisano, Richard Bohmer, and Ann Winslow. "Learning How and Learning What: Effects of Tacit and Codified Knowledge on Performance Improvement Following Technology Adoption." Decision Sciences 34, no. 2 (spring 2003): 197–223.
- 2008
- Chapter
Learning in Environmental Policymaking and Implementation
By: Alnoor Ebrahim
This paper explores how "learning" occurs in the context of environmental policy formulation and implementation. Rather than viewing policy learning as a rational and technocratic process, the emphasis here is on the political and institutional contexts within which... View Details
Keywords: Learning; Corporate Accountability; Policy; Government and Politics; Business and Stakeholder Relations; Natural Environment; Power and Influence; South Africa; Brazil
Ebrahim, Alnoor. "Learning in Environmental Policymaking and Implementation." In Strategic Environmental Assessment for Policies: An Instrument for Good Governance, edited by Kulsum Ahmed and Ernesto Sanchez-Triana. Washington, D.C.: World Bank, 2008. (Was HBS Working Paper 08-071.)
- 09 May 2014
- Working Paper Summaries
‘My Bad!’ How Internal Attribution and Ambiguity of Responsibility Affect Learning from Failure
- August 2018 (Revised April 2019)
- Supplement
Chateau Winery (B): Supervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
- 2024
- Article
Learning Under Random Distributional Shifts
By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host
countries has gained attention in recent years, with implementations in the U.S.
and Switzerland. These approaches use data on past arrivals to generate machine
learning models that can... View Details
Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
- August 2018 (Revised April 2019)
- Case
Chateau Winery (A): Unsupervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case follows Bill Booth, marketing manager of a regional wine distributor, as he applies unsupervised learning on data about his customers’ purchases to better understand their preferences. Specifically, he uses the K-means clustering technique to identify groups... View Details
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (A): Unsupervised Learning." Harvard Business School Case 119-023, August 2018. (Revised April 2019.)
- March 2019
- Article
A Structural Analysis of the Role of Superstars in Crowdsourcing Contests
By: Shunyuan Zhang, Param Singh and Anindya Ghose
We investigate the long-term impact of competing against superstars in crowdsourcing contests. Using a unique 50-month longitudinal panel data set on 1677 software design crowdsourcing contests, we illustrate a learning effect where participants are able to improve... View Details
Keywords: Crowdsourcing Contests; Superstar Effect; Bayesian Learning; Utility; Economics Of Information System; Dynamic Structural Model; Dynamic Programming; Markov Chain; Monte Carlo; Learning; Competition; Performance Improvement
Zhang, Shunyuan, Param Singh, and Anindya Ghose. "A Structural Analysis of the Role of Superstars in Crowdsourcing Contests." Information Systems Research 30, no. 1 (March 2019): 15–33.
- 2022
- Working Paper
Developing a Sustainable High Commitment, High Performance System of Organizing, Managing, and Leading: An Actionable Systems Theory of Change and Development
By: Michael Beer
This paper presents a theory for developing an adaptive high commitment, high performance system of organizing, managing, and leading. It is a synthesis of my 50 years of action and field research presented in my books and articles. It operationalized and makes... View Details
Keywords: Organizational Learning; Organizational Change and Adaptation; Leadership; Management Practices and Processes
Beer, Michael. "Developing a Sustainable High Commitment, High Performance System of Organizing, Managing, and Leading: An Actionable Systems Theory of Change and Development." Harvard Business School Working Paper, No. 23-016, September 2022.
- Article
Developing a Digital Mindset: How to Lead Your Organization into the Age of Data, Algorithms, and AI
By: Tsedal Neeley and Paul Leonardi
Learning new technological skills is essential for digital transformation. But it is not enough. Employees must be motivated to use their skills to create new opportunities. They need a digital mindset: a set of attitudes and behaviors that enable people and... View Details
Keywords: Machine Learning; AI; Information Technology; Transformation; Competency and Skills; Employees; Technology Adoption; Leading Change; Digital Transformation
Neeley, Tsedal, and Paul Leonardi. "Developing a Digital Mindset: How to Lead Your Organization into the Age of Data, Algorithms, and AI." S22032. Harvard Business Review 100, no. 3 (May–June 2022): 50–55.
- Article
Productivity and Selection of Human Capital with Machine Learning
By: Aaron Chalfin, Oren Danieli, Andrew Hillis, Zubin Jelveh, Michael Luca, Jens Ludwig and Sendhil Mullainathan
Keywords: Analytics and Data Science; Selection and Staffing; Performance Productivity; Mathematical Methods; Policy
Chalfin, Aaron, Oren Danieli, Andrew Hillis, Zubin Jelveh, Michael Luca, Jens Ludwig, and Sendhil Mullainathan. "Productivity and Selection of Human Capital with Machine Learning." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 124–127.
- 1995
- Working Paper
Developing an Organization Capable of Implementing Strategy and Learning
By: Michael Beer
- July 2024
- Article
Mass General Brigham’s Patient-Reported Outcomes Measurement System: A Decade of Learnings
By: Jason B. Liu, Robert S. Kaplan, David W. Bates, Mario O. Edelen, Rachel C. Sisodia and Andrea L. Pusic
This article describes the strategies that leaders at the Mass General Brigham (MGB) health system have used in launching a standardized patient-reported outcome measure (PROM) collection program in 2012, a major step in the value-based transformation of health care.... View Details
Keywords: Patient-reported Outcomes; Value Based Health Care; Health Care and Treatment; Transformation; Outcome or Result; Organizational Change and Adaptation; Performance Improvement; Health Industry
Liu, Jason B., Robert S. Kaplan, David W. Bates, Mario O. Edelen, Rachel C. Sisodia, and Andrea L. Pusic. "Mass General Brigham’s Patient-Reported Outcomes Measurement System: A Decade of Learnings." NEJM Catalyst Innovations in Care Delivery 5, no. 7 (July 2024).
- 17 Jan 2007
- Op-Ed
Learning from Private-Equity Boards
quarterly earnings reports, reflecting the complexity of corporate restructurings and other long-term growth strategies. Lessons To Be Learned There are important implications View Details
- April 2011
- Article
Why Leaders Don't Learn from Success
By: Francesca Gino and Gary P. Pisano
We argue that for a variety of psychological reasons, it is often much harder for leaders and organizations to learn from success than to learn from failure. Success creates three kinds of traps that often impede deep learning. The first is attribution error or the... View Details
Keywords: Learning; Innovation and Management; Leadership; Failure; Success; Performance Evaluation; Prejudice and Bias
Gino, Francesca, and Gary P. Pisano. "Why Leaders Don't Learn from Success." Harvard Business Review 89, no. 4 (April 2011): 68–74.