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How to structure the complexity without giving up the thematic exhaustiveness of a state of the art in management science? Feedback on the methodological contribution of classification tools of qualitative data
[Comment structurer la complexité sans renoncer à l'exhaustivité thématique d'un état de l'art en sciences de gestion ? Retour d'expérience sur l'apport méthodologique des outils de classification de données qualitatives]

Author

Listed:
  • Céline Averseng

    (MRM - Montpellier Research in Management - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - UM2 - Université Montpellier 2 - Sciences et Techniques - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School, UM - Université de Montpellier)

Abstract

The state of the art is an indispensable step in a research process. The author presents a feed-back on his approach in the matter. The objective here is to provide some answers and tracks of reflection to the following question: How to structure the complexity without giving up the thematic exhaustiveness of a state of the art in management science? The used approach presents the originality to show how several computing applications can be combined to ra-tionalize the work of documentation, analysis and synthesis which the researcher will have to make.

Suggested Citation

  • Céline Averseng, 2011. "How to structure the complexity without giving up the thematic exhaustiveness of a state of the art in management science? Feedback on the methodological contribution of classification tools of qualit," Post-Print hal-01992760, HAL.
    • Handle: RePEc:hal:journl:hal-01992760
    DOI: 10.3917/mav.041.0369
    Note: View the original document on HAL open archive server: https://hal.science/hal-01992760
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    References listed on IDEAS

    as
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