Learning in innovation networks: Some simulation experiments
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.
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Volume (Year): 378 (2007)
Issue (Month): 1 ()
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References listed on IDEAS
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- Nigel Gilbert, 1997. "A Simulation of the Structure of Academic Science," Sociological Research Online, Sociological Research Online, vol. 2(2), pages 1-3.
- Cantner, Uwe & Pyka, Andreas, 1998. "Absorbing Technological Spillovers: Simulations in an Evolutionary Framework," Industrial and Corporate Change, Oxford University Press, vol. 7(2), pages 369-397, June.
- Amable, Bruno, 2003. "The Diversity of Modern Capitalism," OUP Catalogue, Oxford University Press, number 9780199261147.
- Petra Ahrweiler & Andreas Pyka & Nigel Gilbert, 2004.
"Simulating knowledge dynamics in innovation networks (SKIN),"
Discussion Paper Series
267, Universitaet Augsburg, Institute for Economics.
- Petra Ahrweiler & Andreas Pyka & Nigel Gilbert, 2004. "Simulating Knowledge Dynamics In Innovation Networks (Skin)," World Scientific Book Chapters, in: Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 14, pages 284-296 World Scientific Publishing Co. Pte. Ltd..
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