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Learning in innovation networks: Some simulation experiments

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  • Gilbert, Nigel
  • Ahrweiler, Petra
  • Pyka, Andreas
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.

Suggested Citation

  • Gilbert, Nigel & Ahrweiler, Petra & Pyka, Andreas, 2007. "Learning in innovation networks: Some simulation experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(1), pages 100-109.
    • Handle: RePEc:eee:phsmap:v:378:y:2007:i:1:p:100-109
    DOI: 10.1016/j.physa.2006.11.050
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    References listed on IDEAS

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    1. Amable, Bruno, 2003. "The Diversity of Modern Capitalism," OUP Catalogue, Oxford University Press, number 9780199261147.
    2. Cantner, Uwe & Pyka, Andreas, 1998. "Absorbing Technological Spillovers: Simulations in an Evolutionary Framework," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 7(2), pages 369-397, June.
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    Citations

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    Cited by:

    1. Michael P. Schlaile & Johannes Zeman & Matthias Mueller, 2021. "It’s a Match! Simulating Compatibility-based Learning in a Network of Networks," Economic Complexity and Evolution, in: Michael P. Schlaile (ed.), Memetics and Evolutionary Economics, chapter 0, pages 99-140, Springer.
    2. Jackie Krafft & Francesco Quatraro & Pier Paolo Saviotti, 2014. "The Dynamics of Knowledge-intensive Sectors' Knowledge Base: Evidence from Biotechnology and Telecommunications," Industry and Innovation, Taylor & Francis Journals, vol. 21(3), pages 215-242, April.
    3. Petra Ahrweiler, 2017. "Agent-based simulation for science, technology, and innovation policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 391-415, January.
    4. Blom, Martin & Castellacci, Fulvio & Fevolden, Arne Martin, 2013. "The trade-off between innovation and defense industrial policy: A simulation model analysis of the Norwegian defense industry," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1579-1592.
    5. Petra Ahrweiler & Michel Schilperoord & Nigel Gilbert & Andreas Pyka, 2012. "Simulating the Role of MNCs for Knowledge and Capital Dynamics in Networks of Innovation," Chapters, in: Martin Heidenreich (ed.), Innovation and Institutional Embeddedness of Multinational Companies, chapter 6, Edward Elgar Publishing.
    6. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    7. B. Vermeulen & A. Pyka & J. A. Poutré & A. G. Kok, 2018. "Capability-based governance patterns over the product life-cycle: an agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 311-349, July.
    8. Buchmann, Tobias & Hain, Daniel & Kudic, Muhamed & Müller, Matthias, 2014. "Exploring the Evolution of Innovation Networks in Science-driven and Scale-intensive Industries: New Evidence from a Stochastic Actor-based Approach," IWH Discussion Papers 1/2014, Halle Institute for Economic Research (IWH).
    9. Martin Blom & Fulvio Castellacci & Arne Fevolden, 2014. "Defence firms facing liberalization: innovation and export in an agent-based model of the defence industry," Computational and Mathematical Organization Theory, Springer, vol. 20(4), pages 430-461, December.
    10. Enrico Cozzoni & Carmine Passavanti & Cristina Ponsiglione & Simonetta Primario & Pierluigi Rippa, 2021. "Interorganizational Collaboration in Innovation Networks: An Agent Based Model for Responsible Research and Innovation in Additive Manufacturing," Sustainability, MDPI, vol. 13(13), pages 1-17, July.
    11. Dorsa Tajaddod Alizadeh & Andrea Schiffauerova, 2018. "Evaluation Of Effects Of Collaborative Patterns On The Efficiency Of Scientific Networks Using Simulation," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 22(04), pages 1-28, May.
    12. Kusiak, Andrew, 2009. "Innovation: A data-driven approach," International Journal of Production Economics, Elsevier, vol. 122(1), pages 440-448, November.
    13. Vermeulen, Ben & Pyka, A. & La Poutré, J. A. & de Kok, A. G., 2013. "Capability-based governance patterns over the product life-cycle," FZID Discussion Papers 71-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).

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