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Extending NCA to the Extreme:

Author

Listed:
  • Florence Allard-Poesi

    (IRG - Institut de Recherche en Gestion - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12)

  • Jan Dul

Abstract

Is it possible to develop from a single, extreme case, a strong theoretical argument that can aim at theoretical generalizability? The purpose of the article is to develop a method for analyzing data from an extreme case to contribute to theory development for ‘normal' organizational functioning. We propose a method inspired by NCA (Dul, 2016) that helps 1/ to distinguish between essential (causal) factors and anecdotal factors in the analysis of chain of actions, cognitions and events that results in a disaster and, 2/ to develop concepts and relationships that can be generalized beyond the single case and result in theoretical statements about necessary but not sufficient conditions for ‘normal' functioning.

Suggested Citation

  • Florence Allard-Poesi & Jan Dul, 2019. "Extending NCA to the Extreme:," Post-Print hal-02169117, HAL.
  • Handle: RePEc:hal:journl:hal-02169117
    as

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