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The evolution of R&D networking in the biotech industries

Author

Listed:
  • Andreas Pyka
  • Paolo Saviotti

Abstract

The paper deals with the evolution of R&D networks in the biopharmaceutical industries. For this purpose, an agent-based-computational model towards evolutionary economics is developed which is able to generate results which closely correspond to developments in the real world. With this approach, the permanent nature of R&D networks in the industrial organisation of innovation processes in this increasingly important industry as well as the coexistence of large diversified firms and dedicated biotechnology firms, can be explained.

Suggested Citation

  • Andreas Pyka & Paolo Saviotti, 2005. "The evolution of R&D networking in the biotech industries," International Journal of Entrepreneurship and Innovation Management, Inderscience Enterprises Ltd, vol. 5(1/2), pages 49-68.
    • Handle: RePEc:ids:ijeima:v:5:y:2005:i:1/2:p:49-68
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    Citations

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    Cited by:

    1. Corine Genet & Khalid Errabi & Caroline Gauthier, 2012. "Which Model of Technology Transfer for Nanotechnology? A Comparison with Biotech and Microelectronics," Post-Print hal-00749152, HAL.
    2. Thomas Grebel & Jackie Krafft & Pier-Paolo Saviotti, 2006. "On knowledge intensive industry life cycles," Post-Print hal-00203585, HAL.
    3. Petra Ahrweiler & Nigel Gilbert & Andreas Pyka, 2011. "Agency and structure: a social simulation of knowledge-intensive industries," Computational and Mathematical Organization Theory, Springer, vol. 17(1), pages 59-76, March.
    4. Thomas Grebel & Jackie Krafft & Pier-Paolo Saviotti, 2006. "On the Life Cycle of Knowledge Intensive Sectors," Revue de l'OFCE, Presses de Sciences-Po, vol. 97(5), pages 63-85.
    5. Schön, Benjamin & Pyka, Andreas, 2012. "A taxonomy of innovation networks," FZID Discussion Papers 42-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    6. Margherita Balconi & Valeria Lorenzi & Pier Paolo Saviotti & Antonella Zucchella, 2013. "Cognitive distance in research collaborations," DEM Working Papers Series 051, University of Pavia, Department of Economics and Management.

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