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Show Results For
- All HBS Web
(12,769)
- People (75)
- News (2,995)
- Research (3,807)
- Events (39)
- Multimedia (353)
- Faculty Publications (2,493)
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- 2021
- Working Paper
Entrepreneurial Learning and Strategic Foresight
By: Aticus Peterson and Andy Wu
We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that... View Details
Keywords: Experience; Interdependency; Strategic Foresight; Crowdfunding; Timeline; Delay; Forecasting; Entrepreneurship; Learning; Complexity; Forecasting and Prediction; Product Development; Planning
Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Harvard Business School Working Paper, No. 21-123, January 2021. (Revised May 2021.)
- December 2021
- Article
Entrepreneurial Learning and Strategic Foresight
By: Aticus Peterson and Andy Wu
We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that... View Details
Keywords: Crowdfunding; Experience; Prediction; Timeline; Complexity; Entrepreneurship; Learning; Experience and Expertise; Forecasting and Prediction
Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Art. 1. Strategic Management Journal 42, no. 13 (December 2021): 2357–2388. (Lead article.)
- July 2004 (Revised May 2009)
- Case
Getting Participant-centered Learning to Work
By: Thomas R. Piper, James L. Heskett and Gustavo Herrero
The newly appointed dean of a South American business school is eager to transform the learning process from the traditional lecture method to one that actively engages students and contributes to the development of critical managerial skills, attitudes, and world... View Details
Keywords: Change Management; Transformation; Business Education; Leading Change; Business Processes; Organizational Change and Adaptation; Alliances; Education Industry; South America
Piper, Thomas R., James L. Heskett, and Gustavo Herrero. "Getting Participant-centered Learning to Work." Harvard Business School Case 805-007, July 2004. (Revised May 2009.)
- October 20, 2020
- Article
Expanding AI's Impact with Organizational Learning
By: Sam Ransbotham, Shervin Khodabandeh, David Kiron, François Candelon, Michael Chu and Burt LaFountain
Most companies developing AI capabilities have yet to gain significant financial benefits from their efforts. Only when organizations add the ability to learn with AI do significant benefits become likely. View Details
Ransbotham, Sam, Shervin Khodabandeh, David Kiron, François Candelon, Michael Chu, and Burt LaFountain. "Expanding AI's Impact with Organizational Learning." MIT Sloan Management Review, Big Ideas Artificial Intelligence and Business Strategy Initiative (website) (October 20, 2020). (Findings from the 2020 Artificial Intelligence
Global Executive Study and Research Project.)
- 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.)
- 04 Jan 2011
- Working Paper Summaries
The Learning Effects of Monitoring
- January 2023 (Revised May 2023)
- Case
Learning Resources: Driven by Purpose
By: Boris Groysberg, Sarah Mehta and Heather Poco
In January 2023, CEO Rick Woldenberg must make several strategic decisions for his family-owned toy company Learning Resources. View Details
Keywords: Change; Change Management; Ownership; Family Ownership; Leadership; Decisions; Consumer Products Industry; United States; Chicago; Illinois
Groysberg, Boris, Sarah Mehta, and Heather Poco. "Learning Resources: Driven by Purpose." Harvard Business School Case 423-053, January 2023. (Revised May 2023.)
- August 2024
- Background Note
Mitigating Climate Change with Machine Learning
By: Michael W. Toffel, Kelsey Carter, Amy Chambers, Avery Park and Susan Pinckney
This note highlights how machine learning is being used to decarbonize (reduce GHG emissions) several key sectors including electricity, transportation, building, industrial processes, and agriculture -- and how machine learning is being used to accelerate efforts to... View Details
Keywords: Climate; Artificial Intelligence; Adaptation; Climate Change; AI and Machine Learning; Innovation and Invention
Toffel, Michael W., Kelsey Carter, Amy Chambers, Avery Park, and Susan Pinckney. "Mitigating Climate Change with Machine Learning." Harvard Business School Background Note 625-014, August 2024.
- 2024
- Working Paper
Learning to Cover: Online Learning and Optimization with Irreversible Decisions
By: Alexander Jacquillat and Michael Lingzhi Li
Keywords: Buildings and Facilities; AI and Machine Learning; Geographic Location; Strategic Planning
Jacquillat, Alexander, and Michael Lingzhi Li. "Learning to Cover: Online Learning and Optimization with Irreversible Decisions." Working Paper, June 2024.
- 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
- June 2019
- Article
Learning to Become a Taste Expert
By: Kathryn A. Latour and John A. Deighton
Evidence suggests that consumers seek to become more expert about hedonic products to enhance their enjoyment of future consumption occasions. Current approaches to becoming expert center on cultivating an analytic mindset. In the present research the authors explore... View Details
Latour, Kathryn A., and John A. Deighton. "Learning to Become a Taste Expert." Journal of Consumer Research 46, no. 1 (June 2019): 1–19.
- March 2015
- Case
Pearson Affordable Learning Fund
By: Michael Chu, Vincent Dessain and Kristina Maslauskaite
An in-house venture capital fund for affordable private schools at the base of the pyramid established by Pearson, the world's largest education company, PALF sought to invest in business models providing superior educational outcomes in emerging markets on a... View Details
Keywords: Impact Investment; Low Cost Private Schools; Investment Fund; Business At The Base Of The Pyramid; Transition; Investment; Development Economics; Business Growth and Maturation; Social Entrepreneurship; Emerging Markets; Private Sector; Education; Education Industry; Asia; Africa
Chu, Michael, Vincent Dessain, and Kristina Maslauskaite. "Pearson Affordable Learning Fund." Harvard Business School Case 315-109, March 2015.
- 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–August 1993
- Article
Building a Learning Organization
By: David A. Garvin
Garvin, David A. "Building a Learning Organization." Harvard Business Review 71, no. 4 (July–August 1993): 78–91.
- 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.)
- 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).
- 08 Oct 2018
- Working Paper Summaries