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Show Results For
- All HBS Web
(11,917)
- People (75)
- News (2,979)
- Research (3,791)
- Events (39)
- Multimedia (347)
- Faculty Publications (2,455)
- 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
Advancing Personalization: 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. "Advancing Personalization: How to Experiment, Learn & Optimize." Working Paper, July 2024. (Revised March 2025.)
- 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.)
Learning to Successfully Hire in Online Labor Markets
Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value... View Details
- 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.)
- 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.
- 14 May 2019
- News
Don’t Just Learn From Failure; Learn From Your Successes
- 03 Jan 2017
- News
Using Technology to Tailor Learning to Each Child
Heather Staker (MBA 2001) is president of Ready to Blend, a firm that works with K-12 teachers to combine educational technology solutions with classroom instruction to... View Details
- 26 Feb 2024
- News
Making Workplaces Safer Through Machine Learning
- 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.)
- 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
- 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.
- 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.)
- 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).
- 11 Apr 2014
- Working Paper Summaries
Learning By Thinking: How Reflection Improves Performance
- 04 Nov 2015
- News
Why Organizations Need to Make Learning Hard
- Nov 14 2022
- Testimonial
An Inclusive Space To Learn And Grow
- Aug 27 2020
- Brochure