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The Empirics of Learning from Failure

Author

Listed:
  • Victor Manuel Bennett

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

  • Jason Snyder

    (Eccles School of Business, University of Utah, Salt Lake City, Utah 84112)

Abstract

The ability to learn from experience is central to an organization’s performance. A set of qualitative management studies argues that learning from failure is the exception rather than the rule. Another literature, using econometric methods, finds strongly statistically- and economically-significant effects. There are many possible explanations for this discrepancy, but we argue that one contributor is that a problem with one of the standard empirical approaches to identifying learning from failure may result in erroneously significant results. We generate simulated placebo data in which no learning takes place and show that the standard approach yields strong significant results. We provide a simple example that provides intuition for why this might be. We then propose and implement improved specifications using data on liver transplantation and find no direct evidence of learning from failure.

Suggested Citation

  • Victor Manuel Bennett & Jason Snyder, 2017. "The Empirics of Learning from Failure," Strategy Science, INFORMS, vol. 2(1), pages 1-12, March.
  • Handle: RePEc:inm:orstsc:v:2:y:2017:i:1:p:1-12
    DOI: 10.1287/stsc.2016.0020
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    References listed on IDEAS

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    Cited by:

    1. Tarantino, Emanuele & Simcoe, Timothy S. & Ganglmair, Bernhard, 2018. "Learning When to Quit: An Empirical Model of Experimentation," CEPR Discussion Papers 12733, C.E.P.R. Discussion Papers.
    2. Diego Useche & Sophie Pommet, 2021. "Where do we go? VC firm heterogeneity and the exit routes of newly listed high-tech firms," Small Business Economics, Springer, vol. 57(3), pages 1339-1359, October.
    3. Kretschmer, Tobias & Glauber, Johanna, 2018. "Learning from failure across products," CEPR Discussion Papers 13140, C.E.P.R. Discussion Papers.
    4. David Maslach & Oana Branzei & Claus Rerup & Mark J. Zbaracki, 2018. "Noise as Signal in Learning from Rare Events," Organization Science, INFORMS, vol. 29(2), pages 225-246, April.
    5. GuiDeng Say & Gurneeta Vasudeva, 2020. "Learning from Digital Failures? The Effectiveness of Firms’ Divestiture and Management Turnover Responses to Data Breaches," Strategy Science, INFORMS, vol. 5(2), pages 117-142, June.
    6. Dahlin, Kristina & Chuang, You-Ta & Roulet, Thomas J, 2018. "Opportunity, Motivation, and Ability to Learn from Failures and Errors: Review, Synthesis, and Ways to Move Forward," SocArXiv 4qwzh, Center for Open Science.
    7. Joshua L. Krieger, 2021. "Trials and Terminations: Learning from Competitors’ R&D Failures," Management Science, INFORMS, vol. 67(9), pages 5525-5548, September.
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    9. Diego Useche & Sophie Pommet, 0. "Where do we go? VC firm heterogeneity and the exit routes of newly listed high-tech firms," Small Business Economics, Springer, vol. 0, pages 1-21.

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    Keywords

    strategy; learning; failure; methods;
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