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L’analyse des réseaux personnels dans les organisations:quelles données utiliser?

Listed author(s):
  • Barthélemy Chollet


    (Université de Savoie)

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    (VF)La recherche en management a de plus en plus recours aux théories issues de l’analyse des réseaux sociaux. Lorsqu’il s’agit d’étudier ces réseaux à l’aide de méthodes quantitatives, se pose le problème de la mesure. Avant d’établir la valeur des variables décrivant le réseau d’un individu (densité, par exemple), il est nécessaire de le délimiter, c'est-à-dire d’établir une liste des personnes qui le composent. Les méthodes sont nombreuses. Notre article en propose un examen critique et défend les mérites de la méthode des générateurs de noms. Celle-ci comportant, toutefois, certains risques de biais, nous proposons plusieurs remèdes méthodologiques.(VA)Research in management regularly makes use of social network analysis. Using quantitative data to study social networks leads to questions about the appropriateness of measurement. Before measuring key variables which describe someone’s personal network (e.g. density), such personal networks must be delineated, i.e. a list of people be-longing to the networks must be drawn. The paper offers an evaluation of the various methods available for delineating personal networks. It advocates one method in particular:name-generators, and provides several methodological tactics to address some risks of biases it may raise.

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    Article provided by in its journal Revue Finance Contrôle Stratégie.

    Volume (Year): 11 (2008)
    Issue (Month): 1 (March)
    Pages: 105-130

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    Handle: RePEc:dij:revfcs:v:11:y:2008:i:q1:p:105-130
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    1. repec:dau:papers:123456789/651 is not listed on IDEAS
    2. Balconi, Margherita & Breschi, Stefano & Lissoni, Francesco, 2004. "Networks of inventors and the role of academia: an exploration of Italian patent data," Research Policy, Elsevier, vol. 33(1), pages 127-145, January.
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