捕捉因果复杂性:组态理论化的启发式方法

Capturing Causal Complexity: Heuristics for Configurational Theorizing

Academy of Management Review · 2020
被引 725 · 同刊同年前 1%
人大 A+FT50UTD24ABS 4*

中文导读

针对管理学中因果复杂现象,提出组态理论化过程的三个阶段(范围界定、连接、命名)及相应启发式方法,帮助学者发现解释因素组合、探究其联系并阐明协调主题。

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 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.

组态理论因果复杂性理论化启发式管理研究