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Show Results For
- All HBS Web
(11,297)
- People (74)
- News (2,859)
- Research (3,804)
- Events (45)
- Multimedia (239)
- Faculty Publications (2,367)
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- December 29, 2021
- Article
How to Keep Learning at Every Stage of Your Life
By: Boris Groysberg and Robin Abrahams
Groysberg, Boris, and Robin Abrahams. "How to Keep Learning at Every Stage of Your Life." Newsweek (December 29, 2021).
- March 2000
- Article
Do Firms Learn to Create Value? The Case of Alliances
Anand, B., and T. Khanna. "Do Firms Learn to Create Value? The Case of Alliances." Strategic Management Journal 21, no. 3 (March 2000): 295–315.
- 2018
- Book Review
Review of "Natural Resources and Economic Growth. Learning from History"
By: Valeria Giacomin
Giacomin, Valeria. "Review of 'Natural Resources and Economic Growth. Learning from History'." Business History 60, no. 6 (2018): 933–935.
- 1995
- Working Paper
Learning Before Doing in the Development of New Process Technology
By: Gary P. Pisano
- 19 Jun 2013 - 21 Jun 2013
- Keynote Speech
Empowering the Learner at Work: The Three Stances Framework
By: Michele Rigolizzo, David Perkins and Marga Biller
Research suggests that work-relevant learning occurs largely on the job. However, in many situations workers do not learn nearly as much as they might. The "three stances" model helps to explain why. When someone undertakes a task, the person may adopt a completion,... View Details
Keywords: Learning And Development; Learning Organizations; Learning To Learn; Organizational Culture; Organizational Design; Learning
Rigolizzo, Michele, David Perkins, and Marga Biller. "Empowering the Learner at Work: The Three Stances Framework." Learning Managers Forum, United Nations, Turin, Italy, June 19–21, 2013. (The Learning Managers Forum provides the leaders of the UN Learning Community with opportunities to:
SHARE and analyze innovation, knowledge, and best practices;
EXPLORE new ways to respond to the challenges of your daily work;
SHAPE the UN Learning Community of the future.)
- 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.
- 2000
- Working Paper
Disrupted Routines: Effects of Team Learning on New Technology Adaptation
By: Amy C. Edmondson, Richard M.J. Bohmer and Gary Pisano
- 2000
- Working Paper
Disrupted Routines: Effects of Team Learning on New Technology Adaptation
By: Amy C. Edmondson, Richard M.J. Bohmer and Gary Pisano
Edmondson, Amy C., Richard M.J. Bohmer, and Gary Pisano. "Disrupted Routines: Effects of Team Learning on New Technology Adaptation." Harvard Business School Working Paper, No. 01-003, August 2000.
- 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
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.
- April 2018 (Revised February 2019)
- Supplement
Improving Worker Safety in the Era of Machine Learning (B)
By: Michael W. Toffel, Dan Levy, Astrid Camille Pineda, Jose Ramon Morales Arilla and Matthew S. Johnson
Supplements the (A) case. View Details
Toffel, Michael W., Dan Levy, Astrid Camille Pineda, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (B)." Harvard Business School Supplement 618-064, April 2018. (Revised February 2019.)
- 1998
- Working Paper
Do Firms Learn to Create Value? The Case of Alliances
By: Bharat Anand and Tarun Khanna
- 27 Jun 2007
- Lessons from the Classroom
Learning to Make the Move to CEO
"Everyone in this program has earned their stripes at a very senior leadership level," Simons notes. "It's important to have that kind of person because participants work in groups and in very intensive classroom... View Details
- 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
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).
- 03 Apr 2019
- Working Paper Summaries
Learning or Playing? The Effect of Gamified Training on Performance
- 2011
- Chapter
The Importance of Work Context in Organizational Learning from Error
By: Lucy H. MacPhail and Amy C. Edmondson
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.
- January 2013
- Article
The Fog of Negotiation: What Negotiators Can Learn from Military Doctrine
On the surface, warfare and negotiation may seem to be polar opposites. The objective in war is to defeat the enemy. In negotiation, the goal is to find a solution that satisfies all the parties. Not surprisingly, little cross-learning and exchange has occurred across... View Details
Wheeler, Michael A. "The Fog of Negotiation: What Negotiators Can Learn from Military Doctrine." Negotiation Journal 29, no. 1 (January 2013): 23–38.
- Research Summary
Making Machine Learning Robust to Adversarial Attacks
The goal of this research is to ensure that machine learning models that we build and deploy are not easily susceptible to attacks by adversarial or malicious entities. View Details
- 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
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.
- September 2006
- Article
Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation
By: Yoella Bereby-Meyer and Alvin E. Roth
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.
- 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