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The Dynamics of Organizational Learning

Author

Listed:
  • Bernardo A. Huberman

    (HP Labs)

Abstract

This paper presents a dynamical theory of organizational learning that explicitly accounts for both the introduction of new routines into the manufacturing process and improvements in the selection of which procedures to follow. Besides producing a power law of organizational learning with a rate that depends on the effectiveness of the decision procedure, the theory also accounts for observed anomalies characterized by price increases with cumulative output.

Suggested Citation

  • Bernardo A. Huberman, 2001. "The Dynamics of Organizational Learning," Computational and Mathematical Organization Theory, Springer, vol. 7(2), pages 145-153, August.
    • Handle: RePEc:spr:comaot:v:7:y:2001:i:2:d:10.1023_a:1011305021724
    DOI: 10.1023/A:1011305021724
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    References listed on IDEAS

    as
    1. Joskow, Paul L & Rozanski, George A, 1979. "The Effects of Learning by Doing on Nuclear Plant Operating Reliability," The Review of Economics and Statistics, MIT Press, vol. 61(2), pages 161-168, May.
    2. John F. Muth, 1986. "Search Theory and the Manufacturing Progress Function," Management Science, INFORMS, vol. 32(8), pages 948-962, August.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Guido Fioretti, 2007. "A connectionist model of the organizational learning curve," Computational and Mathematical Organization Theory, Springer, vol. 13(1), pages 1-16, March.
    2. Clas‐Otto Wene, 2016. "Future energy system development depends on past learning opportunities," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(1), pages 16-32, January.
    3. Fioretti, Guido, 2007. "The organizational learning curve," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1375-1384, March.
    4. Christina Fang, 2012. "Organizational Learning as Credit Assignment: A Model and Two Experiments," Organization Science, INFORMS, vol. 23(6), pages 1717-1732, December.
    5. Fioretti, Guido, 2009. "From men and machines to the organizational learning curve," MPRA Paper 19392, University Library of Munich, Germany.
    6. Brian W. Kulik & Timothy Baker, 2008. "Putting the organization back into computational organization theory: a complex Perrowian model of organizational action," Computational and Mathematical Organization Theory, Springer, vol. 14(2), pages 84-119, June.
    7. Ramona PERGEL & Alexandros G. PSYCHOGIOS, 2013. "Making Sense of Crisis: Cognitive Barriers of Learning in Critical Situations," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 1(2), pages 179-205, August.

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