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Knowledge Dynamics in a Network Industry

Listed author(s):
  • Cowan Robin
  • Jonard Nicolas
  • Özman Müge

    (MERIT)

In this paper, we model the impact of networks on knowledge growth in an in-novatingindustry. Specifically, we compare two mediums of knowledge exchange;random interaction, and the case in which interaction occurs on a fixed architec-ture.In a simulation study, we investigate how the medium of knowledge exchangecontributes to knowledge growth under di fferent scenarios related to the industry’sinnovative potential. We measure innovative potential by considering the extent towhich knowledge can be codified, and the available technological opportunities. Ourresults tend to support the conjecture that spatial clustering generates higher longrun knowledge growth rates in industries characterized by highly tacit knowledge,while the opposite is true when the degree of codification is important.Key Words: Network, Network Industry, Clustering, Innovation, Knowledge.

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File URL: http://digitalarchive.maastrichtuniversity.nl/fedora/objects/guid:532e00be-669d-4012-a977-298fad6a81d5/datastreams/ASSET1/content
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Paper provided by Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT) in its series Research Memorandum with number 003.

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Date of creation: 2003
Handle: RePEc:unm:umamer:2003003
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  1. Alfonso Gambardella & Walter Garcia Fontes, 1996. "European research funding and regional technological capabilities: Network composition analysis," Economics Working Papers 174, Department of Economics and Business, Universitat Pompeu Fabra.
  2. Margherita Balconi & Stefano Breschi & Francesco Lissoni, 2002. "Networks of Inventors and the Location of University Research: An Exploration of Italian Data," KITeS Working Papers 127, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised May 2002.
  3. Cowan, R. & Jonard, N., 2003. "The dynamics of collective invention," Journal of Economic Behavior & Organization, Elsevier, vol. 52(4), pages 513-532, December.
  4. Curtis Eaton & Mukesh Eswaran, 1997. "Technology-Traditing Coalitions in Supergames," RAND Journal of Economics, The RAND Corporation, vol. 28(1), pages 135-149, Spring.
  5. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 577-598.
  6. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
  7. R. Cowan & N. Jonard & J.-B. Zimmermann, 2002. "The Joint Dynamics of Networks and Knowledge," Computing in Economics and Finance 2002 354, Society for Computational Economics.
  8. Swann, Peter & Prevezer, Martha, 1996. "A comparison of the dynamics of industrial clustering in computing and biotechnology," Research Policy, Elsevier, vol. 25(7), pages 1139-1157, October.
  9. Orsenigo, L. & Pammolli, F. & Riccaboni, Massimo, 2001. "Technological change and network dynamics: Lessons from the pharmaceutical industry," Research Policy, Elsevier, vol. 30(3), pages 485-508, March.
  10. Bruce Kogut & Udo Zander, 1993. "Knowledge of the Firm and the Evolutionary Theory of the Multinational Corporation," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 24(4), pages 625-645, December.
  11. Baptista, Rui, 2000. "Do innovations diffuse faster within geographical clusters?," International Journal of Industrial Organization, Elsevier, vol. 18(3), pages 515-535, April.
  12. G. M. Peter Swann & Rui Baptista, 1999. "A comparison of clustering dynamics in the US and UK computer industries," Journal of Evolutionary Economics, Springer, vol. 9(3), pages 373-399.
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