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From individual scientific visibility to collective competencies: The example of an academic department in the social sciences

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  • R. Coronini

    (Université Pierre Mendès France)

  • V. Mangematin

    (Université Pierre Mendès France)

Abstract

The article discusses the role of university departments in the social sciences. It studies how to describe the three missions of university departments: education, research and consultancy services for public and private organisations. It also proposes some tools to evaluate to what extent these missions are connected. Until now, evaluation in this domain has focused primarily on research activities and far too few indicators have been developed for the other two missions. Moreover, evaluation is often performed on an individual basis, so that the synergy generated by work collectives is rarely evaluated. The purpose of this article is to propose a method for identifying and describing the competencies of a social science research and teaching department. This method can be used to study the articulation between the department's different activities—research, expertise and teaching. Maps of activity are generated, which can serve as a basis for strategic planning of future trends. The approach is based on an analysis of “traces” (articles, contracts, research reports, postgraduate training modules) of the activity of the different components of the Social Science Department, using lexicographic analysis tools. With keywords, titles, summaries and synopses of lectures, it is possible to draw up “maps” representing the department's main competencies.

Suggested Citation

  • R. Coronini & V. Mangematin, 1999. "From individual scientific visibility to collective competencies: The example of an academic department in the social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 45(1), pages 55-80, May.
    • Handle: RePEc:spr:scient:v:45:y:1999:i:1:d:10.1007_bf02458468
    DOI: 10.1007/BF02458468
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    References listed on IDEAS

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    1. Mansfield, Edwin, 1995. "Academic Research Underlying Industrial Innovations:," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 55-65, February.
    2. Pierre-Benoit Joly, 1997. "Chercheurs et laboratoires dans la nouvelle économie de la science," Revue d'Économie Industrielle, Programme National Persée, vol. 79(1), pages 77-94.
    3. Nederhof, A. J. & van Raan, A. F. J., 1993. "A bibliometric analysis of six economics research groups: A comparison with peer review," Research Policy, Elsevier, vol. 22(4), pages 353-368, August.
    4. Arora, Ashish & Gambardella, Alfonso, 1994. "The changing technology of technological change: general and abstract knowledge and the division of innovative labour," Research Policy, Elsevier, vol. 23(5), pages 523-532, September.
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    Cited by:

    1. Benedetto Lepori & Michael Wise & Diana Ingenhoff & Alexander Buhmann, 2016. "The dynamics of university units as a multi‐level process. Credibility cycles and resource dependencies," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2279-2301, December.
    2. Richard S. J. Tol, 2012. "Shapley values for assessing research production and impact of schools and scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 763-780, March.

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