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Show Results For
- All HBS Web
(11,297)
- People (74)
- News (2,859)
- Research (3,804)
- Events (45)
- Multimedia (239)
- Faculty Publications (2,367)
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- Research Summary
Making Machine Learning Robust to Adversarial Attacks
The goal of this research is to ensure that machine learning models that we build and deploy are not easily susceptible to attacks by adversarial or malicious entities. View Details
- February 2016 (Revised December 2016)
- Case
IMAX: Scaling Personalized Learning in India
By: John Jong-Hyun Kim, Michael Chu and Rachna Tahilyani
IMAX is a provider of comprehensive testing and personalized content across mid-range and low-cost private K-10 schools in India. It aims to improve learning outcomes by providing schools with an integrated product suite including textbooks, workbooks, assessments,... View Details
Keywords: Curriculum and Courses; Learning; Acquisition; Business Strategy; Growth and Development Strategy; Education Industry; India
Kim, John Jong-Hyun, Michael Chu, and Rachna Tahilyani. "IMAX: Scaling Personalized Learning in India." Harvard Business School Case 316-108, February 2016. (Revised December 2016.)
- 31 Jul 2013
- Working Paper Summaries
Learning from Double-Digit Growth Experiences
Keywords: by Eric D. Werker
- 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.
- April 1976 (Revised April 2002)
- Background Note
Learning by the Case Method
Helps students fully capitalize on the case method. Succinctly introduces the benefits, format, and process while offering lots of "how-to" advice. Widely used as an introductory handout for executive, MBA, and undergraduate courses. Describes how case discussion... View Details
Hammond, John S. "Learning by the Case Method." Harvard Business School Background Note 376-241, April 1976. (Revised April 2002.)
- 25 Oct 2017
- Research & Ideas
Will Machine Learning Make You a Better Manager?
Credit: PhonlamaiPhoto Thirty years ago, the idea of a machine learning on its own would have stoked the worst kind of sci-fi nightmares about robots taking over the planet.... View Details
- 01 Feb 2021
- Working Paper Summaries
Learning with People Like Me: The Role of Age-Similar Peers on Online Business Course Engagement
- June 2023
- Technical Note
Enhancing Your Contribution to Group Learning in Marketing
By: Jill Avery
How to enhance your contribution to group learning in RC Marketing. Includes information on the learning contract in a case class and the respective roles of instructor and students, how to analyze a marketing case, how to participate in a marketing case discussion,... View Details
Keywords: Marketing
- winter 1994
- Article
Negotiating NIMBYs: Learning from the Failure of the Massachusetts Siting Law
By: M. A. Wheeler
Wheeler, M. A. "Negotiating NIMBYs: Learning from the Failure of the Massachusetts Siting Law." Yale Journal on Regulation 11 (winter 1994): 241–291.
- October 2022 (Revised December 2022)
- Case
SMART: AI and Machine Learning for Wildlife Conservation
By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife... View Details
Keywords: Business and Government Relations; Emerging Markets; Technology Adoption; Strategy; Management; Ethics; Social Enterprise; AI and Machine Learning; Analytics and Data Science; Natural Environment; Technology Industry; Cambodia; United States; Africa
Trelstad, Brian, and Bonnie Yining Cao. "SMART: AI and Machine Learning for Wildlife Conservation." Harvard Business School Case 323-036, October 2022. (Revised December 2022.)
- Teaching Interest
Interpretability and Explainability in Machine Learning
As machine learning models are increasingly being employed to aid decision makers in high-stakes settings such as healthcare and criminal justice, it is important to ensure that the decision makers correctly understand and consequent trust the functionality of these... View Details
- 2013
- Working Paper
Learning from Double-Digit Growth Experiences
By: Eric D. Werker
This extended memorandum identifies episodes of sustained double-digit growth in real GDP, defined as a compound annual growth rate of 10 percent or more over a period of 8 years or longer. Using a measure of real GDP reported in the World Development Indicators, we... View Details
Werker, Eric D. "Learning from Double-Digit Growth Experiences." International Growth Centre Working Paper, April 2013.
- October 2022
- Article
Underestimating Counterparts' Learning Goals Impairs Conflictual Conversations
By: Hanne K. Collins, Charles A. Dorison, Francesca Gino and Julia A. Minson
Given the many contexts in which people have difficulty engaging with views that disagree with their own— from political discussions to workplace conflicts—it is critical to understand how conflictual conversations can be improved. Whereas previous work has focused on... View Details
Keywords: Interpersonal Communication; Conflict and Resolution; Values and Beliefs; Learning; Perception
Collins, Hanne K., Charles A. Dorison, Francesca Gino, and Julia A. Minson. "Underestimating Counterparts' Learning Goals Impairs Conflictual Conversations." Psychological Science 33, no. 10 (October 2022): 1732–1752.
- September 2006
- Article
Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation
By: Yoella Bereby-Meyer and Alvin E. Roth
Bereby-Meyer, Yoella, and Alvin E. Roth. "Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation." American Economic Review 96, no. 4 (September 2006): 1029–1042.
- June 10, 2022
- Article
What Top Executives Can Learn from Junior Employees
Having reached the pinnacle of their careers, many top executives think their learning days are over. Their role, as they see it, is to make pronouncements, define strategy and impart to others the benefits of their vast experience—that is, to tell the employees below... View Details
Kanter, Rosabeth Moss. "What Top Executives Can Learn from Junior Employees." Wall Street Journal (online) (June 10, 2022).
- September 2021
- Article
Trials and Terminations: Learning from Competitors' R&D Failures
I analyze project continuation decisions where firms may resolve uncertainty through news about competitors' research and development (R&D) failures, as well as through their own results. I examine the trade-offs and interactions between product-market competition and... View Details
Krieger, Joshua L. "Trials and Terminations: Learning from Competitors' R&D Failures." Management Science 67, no. 9 (September 2021).
- April 2017
- Case
Yushan Bicycles: Learning to Ride Abroad
By: Christopher A. Bartlett and Paul S. Myers
Yushan Bicycles, one of Taiwan's leading bicycle manufacturers, is pursuing an international expansion strategy by increasing demand for its range of traditional and electric bicycles and shifting its product mix toward higher-margin models sold through specialty... View Details
Keywords: Globalized Firms and Management; Growth and Development Strategy; Competitive Strategy; Conflict Management; Learning; Bicycle Industry; Taiwan; Australia
Bartlett, Christopher A., and Paul S. Myers. "Yushan Bicycles: Learning to Ride Abroad." Harvard Business School Brief Case 917-539, April 2017.
- Article
The Social Utility of Feature Creep
By: Debora V. Thompson and Michael I. Norton
Previous research shows that consumers frequently choose products with too many features that they later find difficult to use. Our research shows that this seemingly suboptimal behavior may in fact confer benefits when factoring in the social context of consumption.... View Details
Keywords: Impression Management; Social Influence; Conspicuous Consumption; Signaling; Product Features; Consumer Behavior; Information Technology; Experience and Expertise; Status and Position
Thompson, Debora V., and Michael I. Norton. "The Social Utility of Feature Creep." Journal of Marketing Research (JMR) 48, no. 3 (June 2011): 555–565.
- Article
A Learning Perspective on Intraorganizational Knowledge Spill-Ins
By: James Oldroyd and Ranjay Gulati
This exploratory study examines the role of intraorganizational knowledge spill-ins in the process of inferential learning. Drawing on the notions of knowledge reliability (the creation of shared meanings) and validity (understandings of cause and effect), we explore... View Details
Oldroyd, James, and Ranjay Gulati. "A Learning Perspective on Intraorganizational Knowledge Spill-Ins." Strategic Entrepreneurship Journal 4, no. 4 (December 2010): 356–372.
- 05 Jul 2006
- Working Paper Summaries
Failing to Learn and Learning to Fail (Intelligently): How Great Organizations Put Failure to Work to Improve and Innovate
Keywords: by Mark D. Cannon & Amy C. Edmondson