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Show Results For
- All HBS Web
(12,547)
- People (75)
- News (2,861)
- Research (3,663)
- Events (32)
- Multimedia (333)
- Faculty Publications (2,349)
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- Research Summary
Organisational Learning in Software Requirements Engineering and Management
The current research project addresses the continuing low success rate of software development projects, which has been frequently reported in empirical studies. For example, the 2004 Chaos Report by the Standish Group found that only 29% of 9,236 application... View Details
- 2008
- Chapter
When Learning and Performance Are at Odds: Confronting the Tension
By: Sara Jean Singer and A. C. Edmondson
This chapter explores complexities of the relationship between learning and performance. We start with the general proposition that learning promotes performance and then describe several challenges for researchers and managers who wish to study or promote learning in... View Details
- Article
Learning Cost-Effective and Interpretable Treatment Regimes
By: Himabindu Lakkaraju and Cynthia Rudin
Lakkaraju, Himabindu, and Cynthia Rudin. "Learning Cost-Effective and Interpretable Treatment Regimes." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 20th (2017).
- August 1983
- Supplement
Learning from a Consulting Experience (B)
By: Arthur N. Turner
Turner, Arthur N. "Learning from a Consulting Experience (B)." Harvard Business School Supplement 484-009, August 1983.
- August 1983
- Case
Learning from a Consulting Experience (A)
By: Arthur N. Turner
Keywords: Consulting Industry
Turner, Arthur N. "Learning from a Consulting Experience (A)." Harvard Business School Case 484-008, August 1983.
- 2003
- Chapter
Understanding Outcomes of Organizational Learning Interventions
By: Amy C. Edmondson and Anita Williams Woolley
Edmondson, Amy C., and Anita Williams Woolley. "Understanding Outcomes of Organizational Learning Interventions." Chap. 10 in Blackwell Handbook of Organizational Learning and Knowledge Management, edited by M. Easterby-Smith and M. Lyles, 185–211. Malden, MA: Blackwell Publishing, 2003.
- 2007
- Chapter
Learning by Experimentation: Prototyping and Testing
By: Stefan Thomke
Thomke, Stefan. "Learning by Experimentation: Prototyping and Testing." In Handbook of New Product Development Management, edited by Christoph Loch and Stylianos Kavadias. Oxford: Butterworth-Heinemann, 2007.
- September 2007 (Revised November 2007)
- Supplement
Leasing Computers at Persistent Learning (CW)
- October 2002 (Revised August 2007)
- Background Note
Entrepreneurial Marketing: Learning from High-Potential Ventures
Describes entrepreneurial marketing as both a mind-set and a process. Draws on some 30 business field cases and some 300 student projects that provide insight into what managers do in high-potential settings. View Details
Lassiter, Joseph B., III. "Entrepreneurial Marketing: Learning from High-Potential Ventures." Harvard Business School Background Note 803-036, October 2002. (Revised August 2007.)
- September 1999
- Background Note
Learning from Projects: Note on Conducting a Postmortem Analysis
By: Stefan H. Thomke and Steven Sinofsky
Describes how firms can learn from projects through postmortem analysis. Focuses on the step-by-step process of preparing and running a postmortem meeting as it is done at Microsoft and other software developers. View Details
Keywords: Conferences; Management Analysis, Tools, and Techniques; Projects; Software; Information Technology Industry
Thomke, Stefan H., and Steven Sinofsky. "Learning from Projects: Note on Conducting a Postmortem Analysis." Harvard Business School Background Note 600-021, September 1999.
- 05 Dec 2017
- Research & Ideas
What We've Learned from 101 Entrepreneurs in Emerging Markets
about which the English language literature is minimal. Related Reading: Thriving in the Turbulence of Emerging Markets Building Histories of Emerging Economies One Interview at a Time What do you think about this research? Have you led companies in emerging economies?... View Details
Keywords: by Sean Silverthorne
- 14 Mar 2023
- Cold Call Podcast
Can AI and Machine Learning Help Park Rangers Prevent Poaching?
- Article
Learning Through Noticing: Theory and Evidence from a Field Experiment
By: Rema Hanna, Sendhil Mullainathan and Joshua Schwartzstein
We consider a model of technological learning under which people "learn through noticing": they choose which input dimensions to attend to and subsequently learn about from available data. Using this model, we show how people with a great deal of experience may... View Details
Hanna, Rema, Sendhil Mullainathan, and Joshua Schwartzstein. "Learning Through Noticing: Theory and Evidence from a Field Experiment." Quarterly Journal of Economics 129, no. 3 (August 2014): 1311–1353. (Online Appendix.)
- fall 1992
- Article
The Factory as a Learning Laboratory
Keywords: Learning
Leonard-Barton, D. A. "The Factory as a Learning Laboratory." MIT Sloan Management Review 34, no. 1 (fall 1992): 23–28.
- 2012
- Working Paper
Prominent Job Advertisements, Group Learning and Wage Dispersion
By: Julio J. Rotemberg
A model is presented in which people base their labor search strategy on the average wage and the average unemployment duration of people who belong to their peer group. It is shown that, if the distribution of wage offers is not stationary so lower wage offers tend to... View Details
Rotemberg, Julio J. "Prominent Job Advertisements, Group Learning and Wage Dispersion." NBER Working Paper Series, No. 18638, December 2012.
- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media... View Details
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Harvard Business School Working Paper, No. 20-036, September 2019.
- May 1999
- Article
The Effect of Adding a Constant to All Payoffs: Experimental Investigation, and a Reinforcement Learning Model with Self-Adjusting Speed of Learning
By: Ido Erev, Yoella Bereby-Meyer and Alvin E. Roth
Erev, Ido, Yoella Bereby-Meyer, and Alvin E. Roth. "The Effect of Adding a Constant to All Payoffs: Experimental Investigation, and a Reinforcement Learning Model with Self-Adjusting Speed of Learning." Journal of Economic Behavior & Organization 39, no. 1 (May 1999): 111–128.
- 2007
- Case
Colloquium on Participant Centered Learning (CPCL program)
By: Julie Battilana
Keywords: Learning
- 2002
- Article
When Problem Solving Prevents Organizational Learning
By: Anita L. Tucker, Amy C. Edmondson and Steven Spear
Tucker, Anita L., Amy C. Edmondson, and Steven Spear. "When Problem Solving Prevents Organizational Learning." Journal of Organizational Change Management 15, no. 2 (2002). (Best paper proceedings, Academy of Management Conference, Healthcare Management Division.)