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  • All HBS Web  (10,672)
    • People  (74)
    • News  (2,859)
    • Research  (3,827)
    • Events  (45)
    • Multimedia  (239)
  • Faculty Publications  (2,367)
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  • 19 Oct 2021
  • News

A Look into the Ethical Concerns Surrounding the Creation and Consumption of Fast Fashion

  • Research Summary

Learning Agility

This research in both field and experimental settings is targeted at examining whether and how employees in the 'midst of learning' are aware of the optimal learning behavior as well as determining if this awareness does indeed increase learning agility. Further,... 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.
  • July – August 2008
  • Article

The Competitive Imperative of Learning

By: Amy C. Edmondson
Keywords: Competition; Learning
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Edmondson, Amy C. "The Competitive Imperative of Learning." HBS Centennial Issue Harvard Business Review 86, nos. 7/8 (July–August 2008): 60–67.
  • January 2015 (Revised April 2015)
  • Case

Zeal: Launching Personalized and Social Learning

By: John J-H Kim and Christine S. An
Set in 2014, this case follows John Danner and his team at Zeal as they consider their product development strategy. In February 2013, serial entrepreneurs John Danner and Sanjay Noronha co-found Zeal, an education technology start up providing a web-based, mobile... View Details
Keywords: Entrepreneurship; Education Technology; MVP; Product Development; Product Market Fit; Monetization Strategy; SaaS Business Models; Education; Personalized Learning
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Kim, John J-H, and Christine S. An. "Zeal: Launching Personalized and Social Learning." Harvard Business School Case 315-052, January 2015. (Revised April 2015.)
  • 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.
  • December 2023
  • Background Note

Organizational Learning

By: Willy Shih
This is a background note that surveys part of the extensive literature on organizational learning. The focus is on learning from experiences, how those learnings get translated into organizational routines and processes, and how that can also lead to getting stuck in... View Details
Keywords: Learning; Knowledge; Business Processes; Manufacturing Industry; Service Industry
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Shih, Willy. "Organizational Learning." Harvard Business School Background Note 624-058, December 2023.
  • Research Summary

Learning Organizations

David A. Garvin is studying how companies pursue improvement and change through efforts to stimulate organizational learning. He has found the following activities to be common in learning organizations: intelligence gathering; experimentation; learning from... View Details

  • 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.)
  • 1992
  • Chapter

Learning About Learning from Data: The Work of Edward Leamer

By: Dutch Leonard
Keywords: Learning; Data and Data Sets
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Leonard, Dutch. "Learning About Learning from Data: The Work of Edward Leamer." In New Horizons in Economic Thought, edited by Keith E. Maskus. Aldershot, U.K.: Edward Elgar Publishing, 1992.
  • March 2015
  • Case

Pearson Affordable Learning Fund

By: Michael Chu, Vincent Dessain and Kristina Maslauskaite
An in-house venture capital fund for affordable private schools at the base of the pyramid established by Pearson, the world's largest education company, PALF sought to invest in business models providing superior educational outcomes in emerging markets on a... View Details
Keywords: Impact Investment; Low Cost Private Schools; Investment Fund; Business At The Base Of The Pyramid; Transition; Investment; Development Economics; Business Growth and Maturation; Social Entrepreneurship; Emerging Markets; Private Sector; Education; Education Industry; Asia; Africa
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Chu, Michael, Vincent Dessain, and Kristina Maslauskaite. "Pearson Affordable Learning Fund." Harvard Business School Case 315-109, March 2015.
  • June 2001
  • Article

The Potential Downside of Bundling: How Packaging Services Can Hurt Consumption

By: John T. Gourville and Dilip Soman
Keywords: Customers
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Gourville, John T., and Dilip Soman. "The Potential Downside of Bundling: How Packaging Services Can Hurt Consumption." Cornell Hotel and Restaurant Administration Quarterly 42, no. 3 (June 2001): 29–37.
  • 2012
  • Working Paper

Learning by Supplying

By: Juan Alcacer and Joanne Oxley
Learning processes lie at the heart of our understanding of how firms build capabilities to generate and sustain competitive advantage: learning by doing, learning by exporting, learning from competitors, users, and alliance partners. In this paper we focus attention... View Details
Keywords: Learning; Supply Chain; Competitive Advantage; Mobile and Wireless Technology; Competency and Skills; Relationships; Telecommunications Industry
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Alcacer, Juan, and Joanne Oxley. "Learning by Supplying." Harvard Business School Working Paper, No. 12-093, April 2012.
  • February 2014
  • Article

Learning by Supplying

By: Juan Alcacer and Joanne Oxley
Learning processes lie at the heart of our understanding of how firms build capabilities to generate and sustain competitive advantage: learning by doing, learning by exporting, learning from competitors, users, and alliance partners. In this paper we focus attention... View Details
Keywords: Competitive Advantage; Organizations; Learning
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Alcacer, Juan, and Joanne Oxley. "Learning by Supplying." Strategic Management Journal 35, no. 2 (February 2014): 204–223.
  • 18 Apr 2000
  • Research & Ideas

Learning in Action

"The most effective learning strategy depends on the situation," writes David A. Garvin. "There is no stock answer, nor is there a single best approach." In Learning in Action, he illustrated the diversity... View Details
Keywords: by David A. Garvin
  • April 2000
  • Teaching Note

Types of Learning Processes TN

By: David A. Garvin and Jeffrey Berger
Teaching Note for (9-300-124). Not listed on product. View Details
Keywords: Learning
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Garvin, David A., and Jeffrey Berger. "Types of Learning Processes TN." Harvard Business School Teaching Note 300-111, April 2000.
  • January 2021
  • Article

Machine Learning for Pattern Discovery in Management Research

By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
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Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.

    Learning by Supplying

    Learning processes lie at the heart of our understanding of how firms build capabilities to generate and sustain competitive advantage: learning by doing, learning by exporting, learning from competitors, users, and alliance partners. In this paper we focus attention... View Details
    • 2019
    • Working Paper

    The Road Not Taken: Consumption of Unfamiliar Products Increases Feelings of Self-Discovery and Consumer Engagement

    By: Dafna Goor, Grant Donnelly and Michael I. Norton
    Citation
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    Goor, Dafna, Grant Donnelly, and Michael I. Norton. "The Road Not Taken: Consumption of Unfamiliar Products Increases Feelings of Self-Discovery and Consumer Engagement." Working Paper, June 2019.
    • July 2022
    • Article

    A Strategic View of Team Learning in Organizations

    By: Jean-François Harvey, Henrik Bresman, Amy C. Edmondson and Gary P. Pisano
    Research in strategic management and organizational behavior has increasingly focused on understanding how organizations achieve and sustain performance in fast-changing environments. Strategy research suggests that senior managers, through their decisions, influence... View Details
    Keywords: Strategic Management; Organization Behavior; Teams; Organizational Capabilities; Groups and Teams; Learning; Management; Decision Making; Performance; Organizational Design
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    Harvey, Jean-François, Henrik Bresman, Amy C. Edmondson, and Gary P. Pisano. "A Strategic View of Team Learning in Organizations." Academy of Management Annals 16, no. 2 (July 2022): 476–507.
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