Capturing Causal Complexity: Heuristics for Configurational Theorizing
City, University of London · London Business School · +7 more institutions
Abstract
Management scholars study phenomena marked by complex interdependencies where multiple explanatory factors 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…
Citation impact
- FWCI
- 63.43
- Percentile
- 100%
- References
- 140
Authors
6- SFSanti FurnariCorresponding
City, University of London
- DCDonal Crilly
London Business School, City, University of London
- VFVilmos F. Misangyi
Pennsylvania State University, London Business School
- TGThomas Greckhamer
Louisiana State University, Pennsylvania State University
- PCPeer C. Fiss
University of Southern California, Southern California University for Professional Studies
Topics & keywords
- Heuristics
- Computer science
- Sociology
- Psychology
- Epistemology
- Management science
- Cognitive science
- Economics