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  • All HBS Web  (10,857)
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  • 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
  • Research Summary

Relative Thinking and Consumer Choice

By: Joshua R. Schwartzstein

Fixed differences appear smaller when compared to large differences. Professor Schwartzstein has proposed a model of relative thinking, in which a person weighs a given change by less when he compares it to a larger range. Relative thinking implies that a person is... View Details

  • 14 May 2007
  • Research & Ideas

The Key to Managing Stars? Think Team

important career matter for individuals as well as for managers who want to inspire, nurture, and recruit stars. A new study by Harvard Business School's Boris Groysberg and Linda-Eling Lee on star knowledge workers, specifically security... View Details
Keywords: by Martha Lagace
  • 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

Team Learning and Superior Firm Performance: A Meso-Level Perspective on Dynamic Capabilities

By: Jean-François Harvey, Henrik Bresman, Amy C. Edmondson and Gary P. Pisano
This paper proposes a team-based, meso-level perspective on dynamic capabilities. We argue that team-learning routines constitute a critical link between managerial cognition and organization-level processes of sensing, seizing, and reconfiguring. We draw from the... View Details
Keywords: Dynamic Capabilities; Innovation; Strategic Change; Teams; Team Learning; Groups and Teams; Learning; Innovation and Invention; Change; Performance
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Harvey, Jean-François, Henrik Bresman, Amy C. Edmondson, and Gary P. Pisano. "Team Learning and Superior Firm Performance: A Meso-Level Perspective on Dynamic Capabilities." Harvard Business School Working Paper, No. 19-059, December 2018. (Revised January 2020.)
  • 08 Jul 2015
  • What Do You Think?

Do Americans Work Too Much and Think About Work Too Little?

men have to find ways of coping as well, often by organizing their work differently or, with help from new technologies, deceiving others into thinking they are on the job when they aren't. The assumption is... View Details
Keywords: by James Heskett; Financial Services
  • 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
  • 11 Mar 2014
  • Working Paper Summaries

Return Migration and Geography of Innovation in MNEs: A Natural Experiment of On-the-Job Learning of Knowledge Production by Local Workers Reporting to Return Migrants

Keywords: by Prithwiraj Choudhury; Technology
  • 31 Jul 2013
  • Working Paper Summaries

Learning from Double-Digit Growth Experiences

Keywords: by Eric D. Werker
  • 02 Aug 2017
  • Working Paper Summaries

Machine Learning Methods for Strategy Research

Keywords: by Mike Horia Teodorescu
  • 25 Oct 2017
  • Research & Ideas

Will Machine Learning Make You a Better Manager?

to the point where analysts can “fingerprint” particular authors by the probability of how they use connecting words like “the,” “and,” and “that.” More recently, machine learning has moved into the realm of... View Details
Keywords: by Michael Blanding; Information Technology
  • 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).
  • 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.)
  • 27 Apr 2020
  • Research & Ideas

How Remote Work Changes What We Think About Onboarding

from virtual onboarding to managing anxiety and stress. Over the next few months, I will try to tackle them one by one in this space. COVID-19 has turned many companies into federations of remote workplaces, but without much guidance on... View Details
Keywords: by Boris Groysberg
  • January–February 2025
  • Article

Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
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Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
  • 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
  • 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
Citation
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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.
  • 15 Nov 2006
  • Research & Ideas

Lessons Not Learned About Innovation

Every managerial generation rediscovers the need for innovation to drive growth but, decade after decade, "grand declarations about innovation are followed by mediocre execution that produces anemic results, and innovation groups are... 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.
  • 08 Oct 2018
  • Working Paper Summaries

Developing Theory Using Machine Learning Methods

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