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Learning in innovation networks: Some simulation experiments

Gilbert, Geoffrey, Ahrweiler, P and Pyka, A (2010) Learning in innovation networks: Some simulation experiments In: Innovation in Complex Social Systems. Routledge Studies in Global Competition (16). Routledge, Taylor & Francis, London, pp. 235-249. ISBN 0415558700

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According to the organizational learning literature, the greatest competitive advantage a firm has is its ability to learn. In this paper, a framework for modeling learning competence in firms is presented to improve the understanding of managing innovation. Firms with different knowledge stocks attempt to improve their economic performance by engaging in radical or incremental innovation activities and through partnerships and networking with other firms. In trying to vary and/or to stabilize their knowledge stocks by organizational learning, they attempt to adapt to environmental requirements while the market strongly selects on the results. The simulation experiments show the impact of different learning activities, underlining the importance of innovation and learning. This chapter is a reprint of an article published as Gilbert, GN, Ahrweiler, P. & Pyka, A. (2007). Learning in innovation networks: Some simulation experiments. Physica A, 378 (1): 100–109 DOI:10.1016/j.physa.2006.11.050. Available online at:

Item Type: Book Section
Divisions : Faculty of Arts and Social Sciences
Authors :
Ahrweiler, P
Pyka, A
Editors :
Ahrweiler, P
Date : March 2010
Copyright Disclaimer : Copyright 2010 Routledge, Taylor & Francis
Related URLs :
Additional Information : Full text not available from this repository.
Depositing User : Symplectic Elements
Date Deposited : 19 Jul 2017 17:47
Last Modified : 06 Jul 2019 05:13

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