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  • All HBS Web  (10,661)
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Show Results For

  • All HBS Web  (10,661)
    • People  (74)
    • News  (2,859)
    • Research  (3,829)
    • Events  (45)
    • Multimedia  (239)
  • Faculty Publications  (2,369)
← Page 15 of 10,661 Results →
  • 08 Feb 2021
  • News

University Administrators Lay Out Lessons Learned for Future of Education in HGSE Panel

  • 06 Mar 2021
  • News

How to Upgrade Judges with Machine Learning

  • 03 Apr 2019
  • Working Paper Summaries

Learning or Playing? The Effect of Gamified Training on Performance

Keywords: by Ryan W. Buell, Wei Cai, and Tatiana Sandino
  • 2011
  • Chapter

The Importance of Work Context in Organizational Learning from Error

By: Lucy H. MacPhail and Amy C. Edmondson
Keywords: Working Conditions; Situation or Environment; Organizational Change and Adaptation
Citation
Related
MacPhail, Lucy H., and Amy C. Edmondson. "The Importance of Work Context in Organizational Learning from Error." In Errors in Organizations, edited by D. Hoffman and M. Frese. Routledge, 2011.
  • Link

Machine Learning Models for Prediction of Scope 3 Carbon Emissions

  • 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
Keywords: Fund Managers; Experience and Expertise; Performance; Forecasting and Prediction
Citation
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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.
  • Article

Active World Model Learning with Progress Curiosity

By: Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber and Daniel Yamins
World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal... View Details
Keywords: World Models; Mathematical Methods
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Kim, Kuno, Megumi Sano, Julian De Freitas, Nick Haber, and Daniel Yamins. "Active World Model Learning with Progress Curiosity." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
  • 07 Jul 2016
  • Blog Post

Can You Learn Finance through the Case Method?

come out of the prematriculation preparatory work feeling like an expert, I did feel fully confident entering the RC finance and accounting classroom.  I also found over the course of the semester that the... 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
Citation
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Avery, Jill, and Michael Norton. "Learning From Extreme Consumers." Harvard Business School Technical Note 314-086, January 2014.
  • 31 Dec 2014
  • News

Why Smart People Have Trouble Learning Leadership

  • Jan 30 2013
  • Testimonial

Learning Across the Organization

  • September 2006
  • Article

Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation

By: Yoella Bereby-Meyer and Alvin E. Roth
Keywords: Cooperation; Learning; Games, Gaming, and Gambling
Citation
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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.
  • 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
Citation
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Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Making Workplaces Safer Through Machine Learning." Regulatory Review (February 26, 2024).
  • June 2019
  • Article

Learning From Mum: Cross-National Evidence Linking Maternal Employment and Adult Children’s Outcomes

By: Kathleen L. McGinn, Mayra Ruiz Castro and Elizabeth Long Lingo
Analyses relying on two international surveys from over 100,000 men and women across 29 countries explore the relationship between maternal employment and adult daughters’ and sons’ employment and domestic outcomes. In the employment sphere, adult daughters, but not... View Details
Keywords: Female Labor Force Participation; Gender Attitudes; Household Labor; Maternal Employment; Social Class; Social Learning Theory; Social Mobility; Employment; Gender; Attitudes; Household; Labor; Learning; Outcome or Result
Citation
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McGinn, Kathleen L., Mayra Ruiz Castro, and Elizabeth Long Lingo. "Learning From Mum: Cross-National Evidence Linking Maternal Employment and Adult Children’s Outcomes." Work, Employment and Society 33, no. 3 (June 2019): 374–400.
  • 08 Sep 2015
  • Research & Ideas

Knowledge Transfer: You Can't Learn Surgery By Watching

are you won’t ever learn how to pull off a triple bypass. And yet, in business, companies routinely expect employees to pick up new job knowledge through vicarious learning—through reading descriptions of... View Details
Keywords: by Michael Blanding; Health
  • 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
Citation
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Avery, Jill. "Enhancing Your Contribution to Group Learning in Marketing." Harvard Business School Technical Note 523-115, June 2023.
  • 08 Sep 2016
  • Blog Post

4 Unexpected Things I Learned at HBS

was able to achieve a level of understanding financial concepts that I would not have otherwise reached. In addition, by making myself vulnerable, I was able to return the favor and share my own expertise with the classmate who I... View Details
  • 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
Citation
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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).)
  • June 2024
  • Article

Rationalizing Outcomes: Interdependent Learning in Competitive Markets

By: Anoop R. Menon and Dennis Yao
In this article we use simulation models to explore interdependent learning in competitive markets. Such interactions require attention to both the mental representations held by the management of the focal firm as well as the beliefs of that management about the... View Details
Keywords: Mental Models; Strategic Interactions; Rationalization; Explanation-based View; Competition
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Menon, Anoop R., and Dennis Yao. "Rationalizing Outcomes: Interdependent Learning in Competitive Markets." Strategy Science 9, no. 2 (June 2024): 97–117.
  • 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
Citation
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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.)
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