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  • All HBS Web  (11,917)
    • People  (75)
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← Page 11 of 11,917 Results →
  • 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 learned during my time here. 1. I View Details
  • 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
Citation
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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.)
  • 06 Mar 2021
  • News

How to Upgrade Judges with Machine Learning

  • February 2021
  • Tutorial

Assessing Prediction Accuracy of Machine Learning Models

By: Michael Toffel and Natalie Epstein
This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and... View Details
Keywords: Statistics; Experiments; Forecasting and Prediction; Performance Evaluation; AI and Machine Learning
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Toffel, Michael, and Natalie Epstein. Assessing Prediction Accuracy of Machine Learning Models. Harvard Business School Tutorial 621-706, February 2021. (Click here to access this tutorial.)
  • summer 1981
  • Article

Productivity: Learning from the Japanese

By: Hirotaka Takeuchi
Keywords: Learning; Japan
Citation
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Takeuchi, Hirotaka. "Productivity: Learning from the Japanese." California Management Review (summer 1981).
  • 1990
  • Chapter

Learning Effects in Cell Manufacturing

By: S. Datar, S. Kekre and E. Svaan
Keywords: Learning; Manufacturing Industry
Citation
Related
Datar, S., S. Kekre, and E. Svaan. "Learning Effects in Cell Manufacturing." Chap. 9 in Manufacturing Strategy: The Research Agenda for the Next Decade, edited by John Ettlie, Michael C. Burstein, and Avi Fiegenbaum, 75–84. Boston, MA: Kluwer Academic Publishers, 1990.
  • 08 Sep 2015
  • News

Knowledge Transfer: You Can't Learn Surgery By Watching

  • 08 Sep 2015
  • Research & Ideas

Knowledge Transfer: You Can't Learn Surgery By Watching

While some lessons can be learned by watching—a parent’s reaction after touching a hot stove can be a good lesson for a youngster on dangers in the kitchen—other lessons are harder to learn through... View Details
Keywords: by Michael Blanding; Health
  • 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 professionals at an inflection... 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
  • January 2008
  • Article

Learning the Fine Art of Collaboration

By: Alan MacCormack and Theodore Forbath
Innovations are increasingly brought to the market by networks of firms, selected for their unique capabilities and operating in a coordinated manner. This collaborative model demands that firms develop different skills, yet despite this need, there is little guidance... View Details
Keywords: Digital Platforms
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MacCormack, Alan, and Theodore Forbath. "Learning the Fine Art of Collaboration." Forethought. Special Issue on HBS Centennial. Harvard Business Review 86, no. 1 (January 2008): 10–11.
  • 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 situations. The ability to teach and to... View Details
Keywords: by Julia Hanna; Education
  • April 2010
  • Case

School of One: Reimagining How Students Learn

By: Stacey M. Childress, James Weber and Matthew Adams Haldeman
School of One was a start-up with a new approach to learning. Instead of one teacher delivering the entire math curriculum to a class of 20-25 students, School of One utilized a technology platform that allowed several teachers to collectively oversee the learning of a... View Details
Keywords: Entrepreneurship; Learning; Innovation and Invention
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Childress, Stacey M., James Weber, and Matthew Adams Haldeman. "School of One: Reimagining How Students Learn." Harvard Business School Case 310-053, April 2010.
  • 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).
  • 1994
  • Conference Presentation

Alliances as Learning Races

By: Ranjay Gulati
Citation
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Gulati, Ranjay. "Alliances as Learning Races." Paper presented at the Academy of Management Annual Meeting, Dallas, TX, 1994.
  • 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.
  • 05 May 2017
  • HBS Conference

Innovations in Online Learning

  • Jan 30 2013
  • Testimonial

Learning Across the Organization

  • Apr 25 2012
  • Testimonial

OPM: Learning That Transforms

  • 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
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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).)
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