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A connectionist model of the organizational learning curve

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Abstract

Organizational learning can be understood as a spontaneous development of routines. Mathematically, this process can be described as a search for better paths on a graph whose nodes are humans and machines. Since the rules for connecting nodes depend on their ability to process goods, the slope of the learning curve may be connected to physical and psychological properties. Two suggestive examples are discussed.

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Authors and Affiliations

  1. Department of Business Economics, Via Capo di Lucca 34, I - 40126, Bologna, Italy

    Guido Fioretti

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  1. Guido Fioretti
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Correspondence to Guido Fioretti.

Additional information

Guido Fioretti, born 1964, graduated in Electronic Engineering and obtained a PhD in Economics from the University of Rome “La Sapienza”. He is currently an assistant professor at the University of Bologna, Italy.

His research interests span from decision theory to economics and organization science. In particular, he is interested in linking structural development to cognitive processes. The present article has been conceived as a theoretical underpinning of agent-based simulations of organizations. In particular, future applications of the Java Enterprise Simulator (http:// web.econ.unito.it/terna/jes) may test the usefulness of the results derived herein.

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Fioretti, G. A connectionist model of the organizational learning curve. Comput Math Organiz Theor 13, 1–16 (2007). https://doi.org/10.1007/s10588-006-9003-6

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