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Capturing causal complexity: Heuristics for configurational theorizing

  • Santi Furnari
  • , Donal Crilly
  • , Vilmos F. Misangyi
  • , Thomas Greckhamer
  • , Peer C. Fiss
  • , R. Aguilera Vaqués

Research output: Indexed journal article Articlepeer-review

648 Citations (Scopus)

Abstract

Management scholars study phenomena marked by complex interdependencies among multiple explanatory factors that combine to bring about an outcome of interest. Yet, theorizing about causal complexity can prove challenging for the correlational theorizing that is predominant in the field of management, given its "net effects thinking" that emphasizes the unique contribution of individual explanatory factors. In contrast, configurational theories and thinking are well suited to explaining causally complex phenomena. In this article, we seek to advance configurational theorizing by providing a model of the configurational theorizing process, which consists of three iterative stages scoping, linking and naming. In each stage, we develop and offer several heuristics aimed at stimulating configurational theorizing. That is, these theorizing heuristics are intended to help scholars discover configurations of explanatory factors, probe the connections among these factors, and articulate the orchestrating themes that underpin their coherence. We conclude with a discussion of how configurational theorizing advances theory development in the field of management and organizations, and beyond.
Original languageEnglish
Pages (from-to)778-799
Number of pages21
JournalAcademy of Management Review
Volume46
Issue number4
DOIs
Publication statusPublished - 1 Oct 2021

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