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  • All HBS Web  (10,849)
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  • 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
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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.)
  • 04 Jan 2011
  • Working Paper Summaries

The Learning Effects of Monitoring

Keywords: by Dennis Campbell, Marc Epstein & Francisco de Asis Martinez-Jerez; Entertainment & Recreation
  • April 2011
  • Article

Strategies for Learning from Failure

By: Amy C. Edmondson
Many executives believe that all failure is bad (although it usually provides lessons)--and that learning from it is pretty straightforward. The author, a professor at Harvard Business School, thinks both beliefs are misguided. In organizational life, she says, some... View Details
Keywords: Learning; Knowledge Use and Leverage; Leadership; Business Processes; Organizational Culture; Failure; Opportunities
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Edmondson, Amy C. "Strategies for Learning from Failure." Harvard Business Review 89, no. 4 (April 2011).
  • 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
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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.
  • 27 Jun 2007
  • Lessons from the Classroom

Learning to Make the Move to CEO

bring back what they've learned to their organizations? "Graduates walk a fine line," Simons remarks. "On the one hand, it's not wise to come back with the attitude that they know it all and are ready to save the company.... View Details
Keywords: by Julia Hanna; Education
  • 28 Jan 2020
  • Book

Advanced Leadership Requires More Than Outside-The-Box Thinking

University, where senior and retired executives learn to develop leadership skills in the service of solving large social problems. Many of the examples in the book come from her experience leading that program. Sean Silverthorne: We’re... View Details
Keywords: by Sean Silverthorne
  • July 2006
  • Article

Dynamic Mixed Duopoly: A Model Motivated by Linux vs. Windows

By: Ramon Casadesus-Masanell and Pankaj Ghemawat
This paper analyzes a dynamic mixed duopoly in which a profit-maximizing competitor interacts with a competitor that prices at zero (or marginal cost), with the cumulation of output affecting their relative positions over time. The modeling effort is motivated by... View Details
Keywords: Open Source Software; Demand-side Learning; Network Effects; Linux; Mixed Duopoly; Competitive Dynamics; Business Models; Duopoly and Oligopoly; Information Technology; Applications and Software; Business Model; Mathematical Methods; Digital Platforms; Profit; Balance and Stability; Management Analysis, Tools, and Techniques; SWOT Analysis; Competition; Price; Information Technology Industry
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Casadesus-Masanell, Ramon, and Pankaj Ghemawat. "Dynamic Mixed Duopoly: A Model Motivated by Linux vs. Windows." Management Science 52, no. 7 (July 2006): 1072–1084.
  • June 2012
  • Article

The Transparency Paradox: A Role for Privacy in Organizational Learning and Operational Control

By: Ethan S. Bernstein
Using data from embedded participant-observers and a field experiment at the second largest mobile phone factory in the world, located in China, I theorize and test the implications of transparent organizational design on workers' productivity and organizational... View Details
Keywords: Transparency; Privacy; Organizational Learning; Operational Control; Organizational Performance; Chinese Manufacturing; Field Experiment; Rights; Interpersonal Communication; Management Practices and Processes; Ethics; Corporate Disclosure; Performance Productivity; Boundaries; Organizations; Social and Collaborative Networks; Labor and Management Relations; Power and Influence; Manufacturing Industry; China
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Bernstein, Ethan S. "The Transparency Paradox: A Role for Privacy in Organizational Learning and Operational Control." Administrative Science Quarterly 57, no. 2 (June 2012): 181–216.
  • 21 Sep 2015
  • Book

What It Takes to Learn to Be a Leader

Keywords: by Roberta Holland
  • 02 Aug 2017
  • Working Paper Summaries

Machine Learning Methods for Strategy Research

Keywords: by Mike Horia Teodorescu
  • 08 Oct 2018
  • Working Paper Summaries

Developing Theory Using Machine Learning Methods

Keywords: by Prithwiraj Choudhury, Ryan Allen, and Michael G. Endres
  • Research Summary

Front-Line Organizational Learning

Dr. Tucker uses operations management and organizational learning theory to understand and improve front-line work processes.  Specifically, she examines the conditions under which the problem solving routines of front-line workers are likely to result in positive... View Details
  • 06 Nov 2006
  • Research & Ideas

How South Africa Challenges Our Thinking on FDI

going to entail is major public investment that is going to be a continued stimulus for the economy. The event may even provide a long enough stimulus that it might be able to turn around some of the sections of Johannesburg that have been abandoned View Details
Keywords: by Martha Lagace
  • March 2008
  • Article

Is Yours a Learning Organization?

By: David A. Garvin, Amy C. Edmondson and Francesca Gino
This article includes a one-page preview that quickly summarizes the key ideas and provides an overview of how the concepts work in practice along with suggestions for further reading. An organization with a strong learning culture faces the unpredictable deftly.... View Details
Keywords: Interpersonal Communication; Learning; Surveys; Leading Change; Management Analysis, Tools, and Techniques; Organizational Culture
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Garvin, David A., Amy C. Edmondson, and Francesca Gino. "Is Yours a Learning Organization?" Harvard Business Review 86, no. 3 (March 2008): 109–116.
  • Research Summary

Selective Attention and Learning

By: Joshua R. Schwartzstein

What do we notice, and how does this affect what we learn? Standard economic models of learning ignore memory by assuming that we remember everything. But there is growing recognition that memory is imperfect. Further, memory imperfections do not stem from limited... View Details

  • November 2023 (Revised April 2024)
  • Case

Khanmigo: Revolutionizing Learning with GenAI

By: William A. Sahlman, Allison M. Ciechanover and Emily Grandjean
Already a leader in the edtech space since its 2008 launch, Khan Academy was now one of the first edtech organizations to embrace generative artificial intelligence ("genAI"). In March 2023, Khan Academy began beta testing Khanmigo, a genAI “guide” and tutor built with... View Details
Keywords: Technology Adoption; Leading Change; Entrepreneurship; Risk and Uncertainty; Education; AI and Machine Learning; Corporate Social Responsibility and Impact; Education Industry; Technology Industry; United States; San Francisco
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Sahlman, William A., Allison M. Ciechanover, and Emily Grandjean. "Khanmigo: Revolutionizing Learning with GenAI." Harvard Business School Case 824-059, November 2023. (Revised April 2024.)
  • 20 Dec 2006
  • Op-Ed

Investors Hurt by Dual-Track Tax Reporting

parallel universes. Large, unexplained gaps—more than $100 billion—have developed between the profits reported to capital markets and to tax authorities. These discrepancies can no longer be explained by accepted differences between the... View Details
Keywords: by Mihir Desai
  • 2020
  • Working Paper

Design in the Age of Artificial Intelligence

By: Roberto Verganti, Luca Vendraminelli and Marco Iansiti
Artificial Intelligence (AI) is affecting the scenario in which innovation takes place. What are the implications for our understanding of design? Is AI just another digital technology that, akin to many others, will not significantly question what we know about... View Details
Keywords: Artificial Intelligence; Design Thinking; Technological Innovation; Design; Change; Theory; AI and Machine Learning
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Verganti, Roberto, Luca Vendraminelli, and Marco Iansiti. "Design in the Age of Artificial Intelligence." Harvard Business School Working Paper, No. 20-091, February 2020.
  • 10 Apr 2013
  • Research & Ideas

Learning Curve: Making the Most of Outsourcing

shorter read times did not appear to come at the expense of clinical quality; the rates of "discrepancies" reported by customers was low. The researchers point to prior research to explain why. Repeated experience helps the service... View Details
Keywords: by Paul Guttry; Health
  • 03 Mar 2003
  • Research & Ideas

Top Ten Legal Mistakes Made by Entrepreneurs

New Business magazine, and talked about the legal issues commonly faced by entrepreneurs, as well as her thoughts on how to successfully deal with them. In Bagley's view, there is a tendency on the part of many entrepreneurs to View Details
Keywords: by Staff
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