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Learning in innovation networks: Some simulation experiments
Book chapter   Peer reviewed

Learning in innovation networks: Some simulation experiments

Geoffrey Gilbert, P Ahrweiler and A Pyka
Innovation in Complex Social Systems, (16), pp.235-249
Routledge Studies in Global Competition, Routledge, Taylor & Francis
03/2010

Abstract

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: http://www.sciencedirect.com/science/article/pii/S0378437106012714
url
http://www.routledge.com/books/details/9780203855324/View

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