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Connections Matter: How Personal Network Structure Influences Biomedical Scientistsâ Engagement in Medical Innovation

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  • Llopis,Oscar
  • DâEste,Pablo

Abstract

In this study, we analyze the determinants of biomedical scientistsâ participation in various types of activities and outputs related to medical innovation. More specifically, we argue that scientists occupying brokerage positions among their contacts will in a more favorable position to deliver medical innovation outcomes, compared to scientists embedded in more dense networks. However, we also theorize that beyond a threshold, the coordination costs of brokerage may surpass its potential benefits. In addition to that, we study the influence of two individual-level attributes as potential determinants of the participation in medical innovation activities: cognitive breadth and perceived beneficiary impact. We situate our analysis within the context of the Spanish biomedical research framework, where we analyze a sample of 1,309 biomedical scientists.

Suggested Citation

  • Llopis,Oscar & DâEste,Pablo, 2014. "Connections Matter: How Personal Network Structure Influences Biomedical Scientistsâ Engagement in Medical Innovation," INGENIO (CSIC-UPV) Working Paper Series 201402, INGENIO (CSIC-UPV), revised 07 Mar 2014.
  • Handle: RePEc:ing:wpaper:201402
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    1. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    2. Giuseppe Soda & Akbar Zaheer, 2012. "A network perspective on organizational architecture: performance effects of the interplay of formal and informal organization," Strategic Management Journal, Wiley Blackwell, vol. 33(6), pages 751-771, June.
    3. Akbar Zaheer & Geoffrey G. Bell, 2005. "Benefiting from network position: firm capabilities, structural holes, and performance," Strategic Management Journal, Wiley Blackwell, vol. 26(9), pages 809-825, September.
    4. Jeongsik “Jay” Lee, 2010. "Heterogeneity, Brokerage, and Innovative Performance: Endogenous Formation of Collaborative Inventor Networks," Organization Science, INFORMS, vol. 21(4), pages 804-822, August.
    5. Perkmann, Markus & Tartari, Valentina & McKelvey, Maureen & Autio, Erkko & Broström, Anders & D’Este, Pablo & Fini, Riccardo & Geuna, Aldo & Grimaldi, Rosa & Hughes, Alan & Krabel, Stefan & Kitson, Mi, 2013. "Academic engagement and commercialisation: A review of the literature on university–industry relations," Research Policy, Elsevier, vol. 42(2), pages 423-442.
    6. Corey C. Phelps & Ralph Heidl & Anu Wadhwa, 2012. "Networks, knowledge, and knowledge networks: A critical review and research agenda," Post-Print hal-00715591, HAL.
    7. M. Ann McFadyen & Matthew Semadeni & Albert A. Cannella, 2009. "Value of Strong Ties to Disconnected Others: Examining Knowledge Creation in Biomedicine," Organization Science, INFORMS, vol. 20(3), pages 552-564, June.
    8. Morgan, Myfanwy & Barry, Christine A. & Donovan, Jenny L. & Sandall, Jane & Wolfe, Charles D.A. & Boaz, Annette, 2011. "Implementing ‘translational’ biomedical research: Convergence and divergence among clinical and basic scientists," Social Science & Medicine, Elsevier, vol. 73(7), pages 945-952.
    9. Rotolo, Daniele & Messeni Petruzzelli, Antonio, 2013. "When does centrality matter? Scientific productivity and the moderating role of research specialization and cross-community ties," MPRA Paper 53406, University Library of Munich, Germany.
    10. Karl E. Weick & Kathleen M. Sutcliffe & David Obstfeld, 2005. "Organizing and the Process of Sensemaking," Organization Science, INFORMS, vol. 16(4), pages 409-421, August.
    11. Ding, Waverly & Choi, Emily, 2011. "Divergent paths to commercial science: A comparison of scientists' founding and advising activities," Research Policy, Elsevier, vol. 40(1), pages 69-80, February.
    12. Julie Battilana & Tiziana Casciaro, 2013. "Overcoming Resistance to Organizational Change: Strong Ties and Affective Cooptation," Management Science, INFORMS, vol. 59(4), pages 819-836, April.
    13. Nigam, Amit, 2013. "How institutional change and individual researchers helped advance clinical guidelines in American health care," Social Science & Medicine, Elsevier, vol. 87(C), pages 16-22.
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    Cited by:

    1. Llopis, Oscar & D’Este, Pablo, 2016. "Beneficiary contact and innovation: The relation between contact with patients and medical innovation under different institutional logics," Research Policy, Elsevier, vol. 45(8), pages 1512-1523.

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    More about this item

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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