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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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- 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.)
- April 2011
- Article
What Can We Learn from 'Great Negotiations'?
What can one legitimately learn-analytically and/or prescriptively-from detailed historical case studies of "great negotiations," chosen more for their salience than their analytic characteristics or comparability? Taking a number of such cases compiled by Stanton... View Details
Keywords: Learning; International Relations; History; Agreements and Arrangements; Negotiation Process; Conflict and Resolution
Sebenius, James K. "What Can We Learn from 'Great Negotiations'?" Negotiation Journal 27, no. 2 (April 2011).
- March 2008
- Article
What Have We Learned from Market Design?
By: Alvin E. Roth
This essay discusses some things we have learned about markets, in the process of designing marketplaces to fix market failures. To work well, marketplaces have to provide thickness, i.e. they need to attract a large enough proportion of the potential participants in... View Details
Keywords: Risk Management; Market Design; Market Participation; Market Transactions; Failure; Safety
Roth, Alvin E. "What Have We Learned from Market Design?" Economic Journal 118, no. 527 (March 2008): 285–310. (Hahn Lecture.)
- September 1992
- Case
Star Cablevision Group (F): Lessons Learned
Last case in a series of six cases. This case describes the company as it reflects back to lessons learned. View Details
Keywords: Learning
Sahlman, William A. "Star Cablevision Group (F): Lessons Learned." Harvard Business School Case 293-041, September 1992.
- 2024
- Working Paper
Sharing Models to Interpret Data
By: Joshua Schwartzstein and Adi Sunderam
To understand new data, we share models or interpretations with others. This paper studies such exchanges of models in a community. The key assumption is that people adopt the interpretation in their community that best explains the data, given their prior beliefs. An... View Details
Keywords: Social Learning Theory; Theory; Social Issues; Cognition and Thinking; Social and Collaborative Networks; Attitudes
Schwartzstein, Joshua, and Adi Sunderam. "Sharing Models to Interpret Data." Harvard Business School Working Paper, No. 25-011, August 2024. (Revised August 2024.)
- April 2011
- Case
Kay Sunderland: Making the Grade at Attain Learning
By: Linda A. Hill and Heather Beckham
Kay Sunderland is an account director at Attain Learning Inc., a business training solutions company. In January 2011, one of Attain's most important clients, Juan Nunez of Gramen Equipment Company, contacts Sunderland with a request: Nunez would like Attain content... View Details
Keywords: Communication; Interpersonal Relations; Personal Strategy ＆ Style; Creativity; Conflict; Interdepartmental Relations; Talent Management; Management Style; Interpersonal Communication; Talent and Talent Management; Relationships; Conflict and Resolution; Communication Strategy; Power and Influence; Service Industry
Hill, Linda A., and Heather Beckham. "Kay Sunderland: Making the Grade at Attain Learning." Harvard Business School Brief Case 114-289, April 2011.
- 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.
- July – August 2011
- Article
Deliberate Learning to Improve Performance in Dynamic Service Settings: Evidence from Hospital Intensive Care Units
By: I. M. Nembhard and A. L. Tucker
Dynamic service settings-characterized by workers who interact with customers to deliver services in a rapidly changing, uncertain, and complex environment (e.g., hospitals)-play an important role in the economy. Organizational learning studies in these settings have... View Details
Keywords: Experience and Expertise; Customer Focus and Relationships; Learning; Health Care and Treatment; Service Delivery; Performance Improvement; Quality; Groups and Teams; Cooperation; Health Industry
Nembhard, I. M., and A. L. Tucker. "Deliberate Learning to Improve Performance in Dynamic Service Settings: Evidence from Hospital Intensive Care Units." Organization Science 22, no. 4 (July–August 2011): 907–922.
- 25 Feb 2004
- Other Presentation
Competitiveness in Rural U.S. Regions: Learning and Research Agenda
By: Michael E. Porter, Christian H.M. Ketels, Kaia K. Miller and Richard Bryden
Competitiveness in Rural U.S. Regions: Learning and Research Agenda View Details
Porter, Michael E., Christian H.M. Ketels, Kaia K. Miller, and Richard Bryden. "Competitiveness in Rural U.S. Regions: Learning and Research Agenda." U.S. Economic Development Administration, February 25, 2004.
- 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
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.
- March 2002
- Article
Leading Organizational Learning in Health Care
By: J. S. Carroll and A. C. Edmondson
Carroll, J. S., and A. C. Edmondson. "Leading Organizational Learning in Health Care." Quality & Safety in Health Care 11, no. 1 (March 2002): 51–56.
- January 7, 2012
- Article
What Minnesota Can Learn from Germany
By: Bill George
George, Bill. "What Minnesota Can Learn from Germany." Star Tribune (Minneapolis) (January 7, 2012).
- 25 Apr 2005
- Research & Ideas
New Learning at American Home Products
1931 of John Wyeth & Brothers. In prescription drugs, the company's initial learning base emerged with the purchase in 1931 of John Wyeth & Brothers, a respected mid-sized Philadelphia drug company established in 1860. The Wyeth... View Details
- November 2023
- Case
Open Source Machine Learning at Google
Set in early 2023, the case exposes students to the challenges of managing open source software at Google. The case focuses on the challenges for Alex Spinelli, Vice President of Product Management for Core Machine Learning. He must set priorities for Google’s efforts... View Details
Keywords: Decision Choices and Conditions; Technological Innovation; Open Source Distribution; Strategy; AI and Machine Learning; Applications and Software; Technology Industry; United States
Greenstein, Shane, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue, and James Barnett. "Open Source Machine Learning at Google." Harvard Business School Case 624-015, November 2023.
- November 2007
- Article
A Model of Consumer Learning for Service Quality and Usage
By: Raghuram Iyengar, Asim Ansari and Sunil Gupta
In many services, e.g., the wireless service industry, consumers choose a service plan based on their expected consumption. In such situations, consumers experience two forms of uncertainty. First, consumers may be uncertain about the quality of their service provider... View Details
Keywords: Experience and Expertise; Customer Value and Value Chain; Learning; Price; Knowledge Use and Leverage; Marketing Strategy; Consumer Behavior; Service Delivery; Quality; Risk and Uncertainty; Service Industry
Iyengar, Raghuram, Asim Ansari, and Sunil Gupta. "A Model of Consumer Learning for Service Quality and Usage." Journal of Marketing Research (JMR) 44, no. 4 (November 2007): 529–544.
- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
Israeli, Ayelet. "PittaRosso (B): Human and Machine Learning." Harvard Business School Supplement 522-047, November 2021. (Revised December 2021.)