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From men and machines to the organizational learning curve

  • Fioretti, Guido

Learning curves can arise out of routing problems, or out of sequencing problems, or a combination of both. In this paper, learning curves arising out of routing problems are investigated by means of numerical simulations, whereas some properties of the learning curves arising out of sequencing problems are analyzed by means of a computational model. In both cases, the arousal of organizational learning curves is conceived as the emergence of routines. In both cases, the conditions for this to occur are that (i) there are sufficiently many novel possibilities of arranging the units composing the organization, and that (ii) these units are sufficiently many and sufficiently flexible.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 19392.

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Date of creation: 29 Nov 2009
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Handle: RePEc:pra:mprapa:19392
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  1. N. Baloff & R. McKersie, 1966. "Motivating Startups," The Journal of Business, University of Chicago Press, vol. 39, pages 473.
  2. Ferdinand K. Levy, 1965. "Adaptation in the Production Process," Management Science, INFORMS, vol. 11(6), pages B136-B154, April.
  3. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
  4. L. Wade, 1988. "Review," Public Choice, Springer, vol. 58(1), pages 99-100, July.
  5. Fioretti, Guido, 2007. "The organizational learning curve," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1375-1384, March.
  6. Paul S. Adler & Kim B. Clark, 1991. "Behind the Learning Curve: A Sketch of the Learning Process," Management Science, INFORMS, vol. 37(3), pages 267-281, March.
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