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Show Results For
- All HBS Web
(12,545)
- People (75)
- News (2,861)
- Research (3,663)
- Events (31)
- Multimedia (333)
- Faculty Publications (2,349)
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- 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.)
- December 2023
- Article
Self-Orienting in Human and Machine Learning
By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman
A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging... View Details
De Freitas, Julian, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum, and T. Ullman. "Self-Orienting in Human and Machine Learning." Nature Human Behaviour 7, no. 12 (December 2023): 2126–2139.
- 11 Apr 2014
- Working Paper Summaries
Learning By Thinking: How Reflection Improves Performance
- 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.)
- Article
Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications
By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning... View Details
Keywords: Big Data; Data Science And Analytics Management; Governance And Compliance; Organizational Systems And Technology; Anomaly Detection; Application Performance Management; Machine Learning; Enterprise Architecture; Analytics and Data Science
Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the Hawaii International Conference on System Sciences 52nd (2019): 5827–5836.
- September 4, 1988
- Article
Why the Military Can't Learn to Shop
By: J. Ronald Fox
Keywords: Learning
Fox, J. Ronald. "Why the Military Can't Learn to Shop." New York Times (September 4, 1988).
- May 2013
- Supplement
AME Learning Inc.
This is the Spreadsheet Supplement for HBS Case #810065 (AME Learning). Includes Exhibit 1, Exhibit 2, Exhibit 8, and Exhibit 9. View Details
Keywords: Entrepreneurial Management; Entrepreneurs; Angels; Angel Investors; Growth Planning And Management; Growth Strategy; Family Businesses; Family-owned Business; Careers; Venture Capital; Entrepreneurship; Personal Development and Career; Family and Family Relationships; Family Business; Canada; United States
- June 1992
- Article
The Learning Organization
By: D. Q. Mills and G. B. Friesen
Mills, D. Q., and G. B. Friesen. "The Learning Organization." European Management Journal 10, no. 2 (June 1992): 146–156.
- December 1986 (Revised November 1987)
- Case
Learning Co. (A)
Kao, John J. "Learning Co. (A)." Harvard Business School Case 487-038, December 1986. (Revised November 1987.)
- July 2007 (Revised November 2007)
- Case
Leasing Computers at Persistent Learning
Newly public Persistent Learning is acquiring vital computer assets. They need to determine how the lease or purchase decision will impact their financial statements, and how the market will react given previously forecast earnings and competitor's accounting. View Details
Shanthikumar, Devin M. "Leasing Computers at Persistent Learning." Harvard Business School Case 108-014, July 2007. (Revised November 2007.)
- 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.)
- 2023
- Working Paper
Learning to Use: Stack Overflow and Technology Adoption
By: Daniel Jay Brown and Maria P. Roche
In this paper, we examine the potential impact of Q&A websites on the adoption of technologies.
Using data from Stack Overflow – one of the most popular Q&A websites worldwide
– and implementing an instrumental-variable approach, we find that users whose questions... View Details
Brown, Daniel Jay, and Maria P. Roche. "Learning to Use: Stack Overflow and Technology Adoption." Harvard Business School Working Paper, No. 24-001, July 2023.
- October 2024
- Technical Note
Association Rule Learning
By: Michael Parzen and Jo Ellery
Parzen, Michael, and Jo Ellery. "Association Rule Learning." Harvard Business School Technical Note 625-065, October 2024.
- October 1989
- Supplement
Learning Co. (D)
Kao, John J. "Learning Co. (D)." Harvard Business School Supplement 490-025, October 1989.
- June 2005
- Article
Failing to Learn and Learning to Fail (Intelligently): How Great Organizations Put Failure to Work to Innovate and Improve
By: M. D. Cannon and A. C. Edmondson
Keywords: Failure; Learning; Organizations; Labor; Innovation and Invention; Performance Improvement
Cannon, M. D., and A. C. Edmondson. "Failing to Learn and Learning to Fail (Intelligently): How Great Organizations Put Failure to Work to Innovate and Improve." Long Range Planning 38, no. 3 (June 2005): 299–319.
- 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.)
- July 1989
- Background Note
Learning by the Case Method in Marketing
Introduces learning by the case method, with application to marketing learning. Places case learning in the stream of experiential learning and explains the advantages and disadvantages of experiential learning methods. Turning to case learning specifically, the note... View Details
Bonoma, Thomas V., and Thomas J. Kosnik. "Learning by the Case Method in Marketing." Harvard Business School Background Note 590-008, July 1989.
- Research Summary
The Learning As BehaviorS (LABS) Model
The Learning As BehaviorS (LABS) Model of Expertise Development integrates research from management, cognitive psychology, educational psychology and neuroscience to describe the process of how a novice achieves expertise. Defining expertise as the ability to... View Details
- 2024
- Working Paper
Personalization and Targeting: How to Experiment, Learn & Optimize
By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Personalization and Targeting: How to Experiment, Learn & Optimize." Working Paper, June 2024.