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Organizational vs. personal social capital in scientists' performance: A multi-level network study of elite French cancer researchers (1996-1998)

Author

Listed:
  • Emmanuel Lazega

    (University of Lille 1, IUF and Clersé-CNRS)

  • Lise Mounier

    (Lasmas-CNRS)

  • Marie-Thérèse Jourda

    (Cepel-CNRS)

  • Rafaël Stofer

    (Clersé-CNRS)

Abstract

Summary The difference between individual social capital and organizational (or corporate) social capital has been an important topic of research in sociology during the past decade. The existence of this difference between two forms of social capital evokes an old question in a new manner: what matters most in explaining individual actors' performance? Is it personal social or collective resources provided by the organization to which the individuals belong and in which they work? In this paper we provide a preliminary answer to this question based on a multi-level network study of the top 'elites' in French cancer research during 1996-1998. By multi-level we mean that we reconstituted both the inter-organizational networks of exchange between most French laboratories carrying out cancer research in 1999; simultaneously, we reconstituted key social networks of the top individual elites in cancer research in France during that same year. Given our 'linked design' (i.e., knowing to which laboratory each researcher belongs), we were able to disentangle the effects of structural properties of the laboratory from the effects of characteristics of the individual researcher (including structural ones) on the latter's performance. Performance was measured by a score based on the impact factor of the journal in which each researcher published. Our results show that organizational social capital matters more, and more consistently, than individual relational capital in explaining variations in performance by French top cancer researchers.

Suggested Citation

  • Emmanuel Lazega & Lise Mounier & Marie-Thérèse Jourda & Rafaël Stofer, 2006. "Organizational vs. personal social capital in scientists' performance: A multi-level network study of elite French cancer researchers (1996-1998)," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(1), pages 27-44, April.
    • Handle: RePEc:spr:scient:v:67:y:2006:i:1:d:10.1556_scient.67.2006.1.3
    DOI: 10.1556/Scient.67.2006.1.3
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    Cited by:

    1. Mladen Djuric & Marina Dobrota & Jovan Filipovic, 2020. "Complexity-based quality indicators for human and social capital in science and research: the case of Serbian Homeland versus Diaspora," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 303-328, July.
    2. Christopher McCarty & James W. Jawitz & Allison Hopkins & Alex Goldman, 2013. "Predicting author h-index using characteristics of the co-author network," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 467-483, August.
    3. Luis Antonio Orozco Castro, 2015. "Diversidad y heterogeneidad en redes de colaboración científica. Un estudio de las escuelas de administración de América Latina," Books, Universidad Externado de Colombia, Facultad de Administración de Empresas, edition 1, number 44, August.
    4. Han-Wen Chang & Mu-Hsuan Huang, 2014. "Cohesive subgroups in the international collaboration network in astronomy and astrophysics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1587-1607, December.
    5. Mladen Djuric & Jovan Filipovic & Stefan Komazec, 2020. "Reshaping the Future of Social Metrology: Utilizing Quality Indicators to Develop Complexity-Based Scientific Human and Social Capital Measurement Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 535-567, April.

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