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The innovative performance of alliance block members: Evidence from the microelectronics industry

  • Lemmens, Charmianne
  • Duysters, Geert
  • Letterie, Wilko
  • Vanhaverbeke, Wim

The primary goal of this paper is to improve our understanding of the relationship between the positioning of companies in technology alliance blocks –substructures in the alliance network- and their innovative performance. In particular, we expect that a firm’s innovative performance depends partly on its position in specific alliance network settings: block membership or non-block membership. Firms in alliance blocks derive their competitive advantage from the superior and particular technologies they develop and exploit together. Incorporating the moderating effect of the degree of technological specialization in alliance blocks yields more insight in the contextual issues affecting the relationship between alliance block membership and innovation performance.

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File URL: http://mpra.ub.uni-muenchen.de/26418/1/MPRA_paper_26418.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 26418.

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Date of creation: 2009
Date of revision: 2010
Handle: RePEc:pra:mprapa:26418
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  1. Gilsing, Victor & Nooteboom, Bart & Vanhaverbeke, Wim & Duysters, Geert & van den Oord, Ad, 2008. "Network embeddedness and the exploration of novel technologies: Technological distance, betweenness centrality and density," Research Policy, Elsevier, vol. 37(10), pages 1717-1731, December.
  2. Gilsing, V.A. & Nooteboom, B., 2005. "Density and Strength of Ties in Innovation Networks : An Analysis of Multi-Media and Biotechnology," Discussion Paper 2005-41, Tilburg University, Center for Economic Research.
  3. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-38, July.
  4. Joel A. C. Baum & Andrew V. Shipilov & Tim J. Rowley, 2003. "Where do small worlds come from?," Industrial and Corporate Change, Oxford University Press, vol. 12(4), pages 697-725, August.
  5. Nooteboom, B. & Vanheverbeke, W.P.M. & Duysters, G.M. & Gilsing, V.A. & Oord van den, A,J,, 2005. "Optimal cognitive distance and absorptive capacity," Working Papers 05.05, Eindhoven Center for Innovation Studies.
  6. repec:fth:harver:1473 is not listed on IDEAS
  7. Griliches, Zvi, 1990. "Patent Statistics as Economic Indicators: A Survey," Journal of Economic Literature, American Economic Association, vol. 28(4), pages 1661-1707, December.
  8. Hagedoorn, John & Cloodt, Myriam, 2003. "Measuring innovative performance: is there an advantage in using multiple indicators?," Research Policy, Elsevier, vol. 32(8), pages 1365-1379, September.
  9. John Hagedoorn, 2002. "External Sources of Innovative Capabilities: The Preferences for Strategic Alliances or Mergers and Acquisitions," Journal of Management Studies, Wiley Blackwell, vol. 39(2), pages 167-188, 03.
  10. Acs, Zoltan J & Audretsch, David B, 1989. "Patents as a Measure of Innovative Activity," Kyklos, Wiley Blackwell, vol. 42(2), pages 171-80.
  11. Tim J. Rowley & Joel A. C. Baum & Andrew V. Shipilov & Henrich R. Greve & Hayagreeva Rao, 2004. "Competing in groups," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 25(6-7), pages 453-471.
  12. Duysters Geert & Hagedoorn John, 1997. "Technological convergence in the IT industry : the role of strategic technology alliances and technological competencies," Research Memorandum 010, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
  13. repec:dgr:tuecis:0416 is not listed on IDEAS
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