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Show Results For
- All HBS Web
(11,884)
- People (75)
- News (2,967)
- Research (3,789)
- Events (39)
- Multimedia (346)
- Faculty Publications (2,454)
- 02 Aug 2018
- News
Learning From Henry Kissinger
- 1 Apr 1992
- Conference Presentation
Motivation, Creativity, and Learning
By: R. Conti, Teresa M. Amabile and S. Pollack
- 16 Jan 2014
- News
Learning from Helping Others
she left the company to return to acting. "Being a voice actor turned out to be a great option for me," she says. "I was able to use a lot of... View Details
- Article
Selective Attention and Learning
Schwartzstein, Joshua. "Selective Attention and Learning." Journal of the European Economic Association 12, no. 6 (December 2014): 1423–1452. (Online Appendix.)
- Jul 29 2015
- Testimonial
A Rich Learning Experience
- 01 Dec 2011
- News
Up the Learning Curve
- February 26, 2024
- Article
Making Workplaces Safer Through Machine Learning
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details
Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms
Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Making Workplaces Safer Through Machine Learning." Regulatory Review (February 26, 2024).
- Apr 25 2012
- Testimonial
OPM: Learning That Transforms
- 2019
- Article
Fair Algorithms for Learning in Allocation Problems
By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman
Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended).... View Details
Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth, and Zachary Schutzman. "Fair Algorithms for Learning in Allocation Problems." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 170–179.
- 08 Sep 2016
- Blog Post
4 Unexpected Things I Learned at HBS
day-out with the extraordinary people who have surrounded me for the last two years. As I ready for my move to Chicago for my next adventure, I wanted to share a few things that I’ve View Details
- January 2014
- Technical Note
Learning From Extreme Consumers
By: Jill Avery and Michael Norton
Traditional market research methods focus on understanding the average experiences of average consumers. This focus leads to gaps in our knowledge of consumer behavior and often fails to uncover insights that can drive revolutionary, rather than evolutionary... View Details
Keywords: Market Research; Ethnography; Design Thinking; Innovation; New Product Development; Research; Marketing; Consumer Behavior; Innovation and Invention
Avery, Jill, and Michael Norton. "Learning From Extreme Consumers." Harvard Business School Technical Note 314-086, January 2014.
- 01 Sep 2011
- News
You’re Never Done Learning
The popular Career Webinar series returns this fall with a full slate of targeted, practical sessions presented by Alumni Career & Professional Development. Hoping to increase your personal engagement at work? Looking View Details
- 19 Sep 2024
- Video
Learn to drive success in India and beyond
- 19 Feb 2021
- News
Lessons Learned from Research
- 29 Aug 2018
- Blog Post
From the Classroom to the Workplace: How I Applied Learnings to my Internship
The first year at Harvard business School gives you a breadth of courses to sink your teeth into. One of the real benefits of studying such a range of materials in the first year, is how easily I was able to... View Details
Keywords: Consumer Products / Retail
- July–August 2023
- Article
Demand Learning and Pricing for Varying Assortments
By: Kris Ferreira and Emily Mower
Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details
Keywords: Experiments; Pricing And Revenue Management; Retailing; Demand Estimation; Pricing Algorithm; Marketing; Price; Demand and Consumers; Mathematical Methods
Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management 25, no. 4 (July–August 2023): 1227–1244. (Finalist, Practice-Based Research Competition, MSOM (2021) and Finalist, Revenue Management & Pricing Section Practice Award, INFORMS (2019).)
- 01 Dec 2018
- News
Lifelong Learning about Leadership
careers and lives, and the other utilizes HBS’s online learning platform to share the School’s pedagogy with broader audiences. More than 70 MBA alumni from the classes of 1995– 2005—all seasoned... View Details
- 09 Nov 2016
- News
The Seeds of Learning
Adam Zmick (MBA 2011) is cofounder of Gardeneers, an environmental education organization based in Chicago, Illinois. In this interview, he explains the connections between learning about food and children’s preparation for a healthy... View Details