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Relational mechanisms governing multifaceted collaborative behavior of academic scientists in six fields of science and engineering

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  • Jha, Yamini
  • Welch, Eric W.
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    Abstract

    Norms of academic science and engineering are moving in the direction of broader applicability and transferability of knowledge beyond the borders of the university. In response, scientists are expected to engage in collaboration that includes both basic and applied collaborative activities. More specifically, the norms of science are beginning to change to allow for novel forms of collaboration that involve sharing of research ideas on multiple facets of collaborative work. This paper examines the extent to which multifaceted collaboration is attributable to relational aspects of individuals' networks. Specifically, we ask the question: what relational aspects of social capital determine multifaceted collaboration among scientists in six fields of science and engineering? Borrowing literature from social capital and science and technology (S&T) human capital, this paper develops a multi-level model of multifaceted collaboration and presents a set of testable hypotheses. Then using data from a national survey of men and women faculty in six fields, we analyze the multi-level data: relationship or dyad level (level 1) and ego level (level 2) with hierarchical linear modeling (HLM) to predict multifaceted collaboration of academic scientists. Findings show that some relational characteristics explain multifaceted collaborative behavior as predicted, while others behave in unexpected ways. Conclusions place the findings in context for theory and policy.

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    Bibliographic Info

    Article provided by Elsevier in its journal Research Policy.

    Volume (Year): 39 (2010)
    Issue (Month): 9 (November)
    Pages: 1174-1184

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    Handle: RePEc:eee:respol:v:39:y:2010:i:9:p:1174-1184

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    Web page: http://www.elsevier.com/locate/respol

    Related research

    Keywords: Multifaceted collaboration Relational Homophily Heterophily Scientists;

    References

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    1. Stephen P. Borgatti & Rob Cross, 2003. "A Relational View of Information Seeking and Learning in Social Networks," Management Science, INFORMS, vol. 49(4), pages 432-445, April.
    2. Van Looy, Bart & Ranga, Marina & Callaert, Julie & Debackere, Koenraad & Zimmermann, Edwin, 2004. "Combining entrepreneurial and scientific performance in academia: towards a compounded and reciprocal Matthew-effect?," Research Policy, Elsevier, vol. 33(3), pages 425-441, April.
    3. Rhoten, Diana & Pfirman, Stephanie, 2007. "Women in interdisciplinary science: Exploring preferences and consequences," Research Policy, Elsevier, vol. 36(1), pages 56-75, February.
    4. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    5. Rigby, J. & Edler, J., 2005. "Peering inside research networks: Some observations on the effect of the intensity of collaboration on the variability of research quality," Research Policy, Elsevier, vol. 34(6), pages 784-794, August.
    6. 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.
    7. Etzkowitz, Henry & Webster, Andrew & Gebhardt, Christiane & Terra, Branca Regina Cantisano, 2000. "The future of the university and the university of the future: evolution of ivory tower to entrepreneurial paradigm," Research Policy, Elsevier, vol. 29(2), pages 313-330, February.
    8. Min-Wei Lin & Barry Bozeman, 2006. "Researchers’ Industry Experience and Productivity in University–Industry Research Centers: A “Scientific and Technical Human Capital” Explanation," The Journal of Technology Transfer, Springer, vol. 31(2), pages 269-290, 03.
    9. 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.
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