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Show Results For
- All HBS Web
(11,907)
- People (75)
- News (2,978)
- Research (3,798)
- Events (39)
- Multimedia (347)
- Faculty Publications (2,463)
- October 2018
- Case
Learning How to Honnold
By: Eugene F. Soltes, Sara Hess and Dutch Leonard
Alex Honnold is the world’s most accomplished free climber. To many, climbing sheer vertical faces of rock—like the famed El Capitan—without a rope is viewed as not simply risky but reckless. Honnold contrasts this sentiment by presenting his perspective on risk taking... View Details
Soltes, Eugene F., Sara Hess, and Dutch Leonard. "Learning How to Honnold." Harvard Business School Case 119-043, October 2018.
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15... View Details
Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting
Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.
- 2018
- Working Paper
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 an expert center on cultivating an analytic mindset. In the present research the authors... View Details
Keywords: Hedonic; Wine; Expertise; Holistic; Analytic; Sensory; Taste; Learning; Experience and Expertise; Analysis; Perception
Latour, Kathryn A., and John A. Deighton. "Learning to Become a Taste Expert." Harvard Business School Working Paper, No. 18-107, June 2018.
- 02 Jun 2023
- News
Lifelong Learning
- 2011
- Chapter
The Contribution of Teams to Organizational Learning
By: Kathryn S. Roloff, Anita W. Woolley and Amy C. Edmondson
Organizational learning theorists have proposed that teams play a critical role in organizational learning (Senge, 1990; Edmondson, 2002). Indeed, as organizations become increasingly more global, teams are formed to leverage knowledge, to increase efficiency, and to... View Details
Roloff, Kathryn S., Anita W. Woolley, and Amy C. Edmondson. "The Contribution of Teams to Organizational Learning." In Handbook of Organizational Learning and Knowledge Management. 2nd ed. Edited by M. Easterby-Smith and M. Lyles, 249–272. London: John Wiley & Sons, 2011.
- 13 Nov 2020
- News
Countdown To Remote Learning
members to teach online, and get 1,900 students—who had scattered around the world—ready to learn online,” says Srikant Datar. “It was daunting.” The School quickly convened a... View Details
- 16 Mar 2011
- News
Learn From Failure
- 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.)
- 13 Jun 2018
- Working Paper Summaries
Learning to Become a Taste Expert
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- 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.
CSML: Leading Learning
Leading Learning is organized into four modules focused on developing the school structures, systems, supports, and culture that lead to excellent teaching and learning in every classroom, for every student. View Details
- Sep 03 2020
- Testimonial
Discovering Different Ways to Learn and Engage
- 05 Jul 2006
- Working Paper Summaries
Failing to Learn and Learning to Fail (Intelligently): How Great Organizations Put Failure to Work to Improve and Innovate
Keywords: by Mark D. Cannon & Amy C. Edmondson
- 05 Aug 2016
- Video
Learn New Skills. Learn About Yourself.
- Article
Learning by Thinking: The Role of Reflection in Individual Learning
By: Giada Di Stefano, Francesca Gino, Gary P. Pisano and Bradley R. Staats
It is common wisdom that practice makes perfect. And, in fact, we find evidence that when given a choice between practicing a task and reflecting on their previously accumulated practice, most people opt for the former. We argue in this paper that this preference is... View Details
- May 2012 (Revised February 2014)
- Teaching Note
Learning About Reducing Hospital Mortality at Kaiser Permanente
By: Anita Carson Tucker
- 06 Mar 2021
- News
How to Upgrade Judges with Machine Learning
- 01 Sep 2016
- News
Offshore Learning
you can catch and hold one of the briny little creatures in your own two hands. As president and CEO of the Thompson Island Outward Bound Education Center in Boston, Arthur Pearson (MBA 1991) is working with Boston Public Schools to make... View Details