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A resource-based view on the interactions of university researchers

  • Frank J. van Rijnsoever

    ()

  • Laurens K. Hessels

    ()

  • Rens L.J. Vandeberg

    ()

Registered author(s):

    The high value of collaboration among scientists and of interactions of university researchers with industry is generally acknowledged. In this study we explain the use of different knowledge networks at the individual level from a resource-based perspective. This involves viewing networks as a resource that offers competitive advantages to an individual university researcher in terms of career development. Our results show that networking and career development are strongly related, but it is important to distinguish between different types of networks. Although networks on various levels (faculty, university, scientific, industrial) show strong correlations, we found three significant differences. First, networking within one’s own faculty and with researchers from other universities stimulates careers, while interactions with industry do not. Second, during the course of an academic career a researcher’s scientific network activity first rises, but then declines after about 20 years. Science-industry collaboration, however, continuously increases. Third, the personality trait ‘global innovativeness’ positively influences science-science interactions, but not science-industry interactions.

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    File URL: http://www.geo.uu.nl/isu/pdf/isu0814.pdf
    File Function: Version April 2008
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    Paper provided by Utrecht University, Department of Innovation Studies in its series Innovation Studies Utrecht (ISU) working paper series with number 08-14.

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    Date of creation: Apr 2008
    Date of revision: Apr 2008
    Handle: RePEc:uis:wpaper:0814
    Contact details of provider: Web page: http://www.uu.nl/faculty/geosciences/EN/research/institutesandgroups/researchinstitutes/copernicusinstitute/research/Innovation/Pages/default.aspx

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    1. Laursen, Keld & Salter, Ammon, 2004. "Searching high and low: what types of firms use universities as a source of innovation?," Research Policy, Elsevier, vol. 33(8), pages 1201-1215, October.
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    3. Carayol, Nicolas, 2003. "Objectives, agreements and matching in science-industry collaborations: reassembling the pieces of the puzzle," Research Policy, Elsevier, vol. 32(6), pages 887-908, June.
    4. Maria Giovanna Devetag, 1999. "From utilities to mental models: A critical survey on decision rules and cognition in consumer choice," CEEL Working Papers 9902, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    5. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    6. Oerlemans, L.A.G. & Meeus, M.T.H. & Boekema, F.W.M., 1998. "Do networks matter for innovation? The usefulness of the network approach in analysing innovation," Other publications TiSEM b5b01e96-86f7-4fdf-95c0-4, School of Economics and Management.
    7. Marius Meeus & Leon Oerlemans & Jerald Hage, 2004. "Industry-Public Knowledge Infrastructure Interaction: Intra- and Inter-organizational Explanations of Interactive Learning," Industry and Innovation, Taylor & Francis Journals, vol. 11(4), pages 327-352.
    8. Dietz, James S. & Bozeman, Barry, 2005. "Academic careers, patents, and productivity: industry experience as scientific and technical human capital," Research Policy, Elsevier, vol. 34(3), pages 349-367, April.
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    10. Kaufmann, Alexander & Todtling, Franz, 2001. "Science-industry interaction in the process of innovation: the importance of boundary-crossing between systems," Research Policy, Elsevier, vol. 30(5), pages 791-804, May.
    11. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
    12. Frank J. van Rijnsoever & Carolina Castaldi, 2008. "Knowledge base, information search and intention to adopt innovation," Innovation Studies Utrecht (ISU) working paper series 08-02, Utrecht University, Department of Innovation Studies, revised Feb 2008.
    13. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
    14. Grit Laudel, 2002. "What do we measure by co-authorships?," Research Evaluation, Oxford University Press, vol. 11(1), pages 3-15, April.
    15. Midgley, David F & Dowling, Grahame R, 1978. " Innovativeness: The Concept and Its Measurement," Journal of Consumer Research, University of Chicago Press, vol. 4(4), pages 229-42, March.
    16. Leon A.G. Oerlemans & Marius T.H. Meeus & Frans W.M. Boekema, 1998. "Do Networks Matter for Innovation? The usefulness of the economic network approach in analysing innovation," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 89(3), pages 298-309, 08.
    17. Fontana, Roberto & Geuna, Aldo & Matt, Mireille, 2006. "Factors affecting university-industry R&D projects: The importance of searching, screening and signalling," Research Policy, Elsevier, vol. 35(2), pages 309-323, March.
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