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Contributions of fsQCA to the study of causal complexity : an application to the stability of alliances
[L’apport de la méthode fsQCA à l’étude de la complexité causale : une application à la stabilité des alliances]

Author

Listed:
  • Benjamin Lehiany

    (SKEMA Business School, i3-CRG - Centre de recherche en gestion i3 - X - École polytechnique - Université Paris-Saclay - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • Paul Chiambaretto

    (MRM - Montpellier Research in Management - UPVM - Université Paul-Valéry - Montpellier 3 - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School - UM - Université de Montpellier, i3-CRG - Centre de recherche en gestion i3 - X - École polytechnique - Université Paris-Saclay - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

Abstract

This article discusses the contributions of the fsQCA (fuzzy-set Qualitative Comparative Analysis) methodology. Drawing on Boolean algebra, this method identifies different causal combinations that explain a given phenomenon. Studying the stability of 11 European railway alliances, we show that traditional case study and "variable-oriented" methods only produce partial explanations of the phenomenon. In contrast, fsQCA identifies 4 "causal configurations" or "alliance profiles" explaining alliances stability. FsQCA thus makes it possible to reconcile the contradictions of the literature on phenomena subject to causal complexity such as the stability of alliances.

Suggested Citation

  • Benjamin Lehiany & Paul Chiambaretto, 2019. "Contributions of fsQCA to the study of causal complexity : an application to the stability of alliances [L’apport de la méthode fsQCA à l’étude de la complexité causale : une application à la stabi," Post-Print hal-02300850, HAL.
    • Handle: RePEc:hal:journl:hal-02300850
    DOI: 10.4000/fcs.3368
    as

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