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Network embeddedness and the exploration of novel technologies: technological distance, betweenness centrality and density

Listed author(s):
  • Victor Gilsing
  • Bart Noteboom
  • Wim Vanhaverbeke
  • Geert Duysters
  • Ad van Noord

In this paper we analyze the innovative performance of alliance networks as a function of the technological distance between partners, a firm's network position (centrality) and total network density.We study how these three elements of an alliance network, apart and in combination, affect the 'twin tasks' in exploration, namely novelty creation on the one hand and its efficient absorption on the other hand.For an empirical test, we study technology-based alliance networks in the pharmaceutical, chemical and automotive industry.

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Paper provided by Eindhoven Center for Innovation Studies in its series Working Papers with number 06-08.

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Date of creation: Apr 2006
Date of revision: Apr 2006
Handle: RePEc:ein:tuecis:0608
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  1. Rebecca Henderson & Iain Cockburn, 1996. "Scale, Scope, and Spillovers: The Determinants of Research Productivity in Drug Discovery," RAND Journal of Economics, The RAND Corporation, vol. 27(1), pages 32-59, Spring.
  2. Wuyts, Stefan & Colombo, Massimo G. & Dutta, Shantanu & Nooteboom, Bart, 2005. "Empirical tests of optimal cognitive distance," Journal of Economic Behavior & Organization, Elsevier, vol. 58(2), pages 277-302, October.
  3. Hagedoorn, John & Link, Albert N. & Vonortas, Nicholas S., 2000. "Research partnerships1," Research Policy, Elsevier, vol. 29(4-5), pages 567-586, April.
  4. David J. TEECE, 2008. "Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy," World Scientific Book Chapters, in: The Transfer And Licensing Of Know-How And Intellectual Property Understanding the Multinational Enterprise in the Modern World, chapter 5, pages 67-87 World Scientific Publishing Co. Pte. Ltd..
  5. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1.
  6. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 112-134.
  7. Ariél Pakes & Zvi Griliches, 1984. "Estimating Distributed Lags in Short Panels with an Application to the Specification of Depreciation Patterns and Capital Stock Constructs," Review of Economic Studies, Oxford University Press, vol. 51(2), pages 243-262.
  8. Bronwyn H. Hall & Albert N. Link & John T. Scott, 2003. "Universities as Research Partners," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 485-491, May.
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