Towards Stronger Causal Claims in Management Research: Causal Triangulation Instead of Causal Identification
指出管理学研究中单一因果识别方法的不足，提出通过结合命题、构型和过程三种因果理论进行三角测量，以增强因果主张的可靠性，对管理研究者和实践者均有参考价值。
Abstract This article addresses widespread concerns about the reliability and strength of many causal claims made in management research. We first critically review the three prevalent forms of theorizing used to identify causal relationships in this field, i.e., propositional, configurational, and process approaches to causation. Highlighting the strengths and limitations of these approaches, we show that while no single approach is sufficient by itself as the basis for robust causal claims, researchers can nonetheless enhance and strengthen claims significantly by combining approaches and thus subjecting them to multiple criteria for drawing robust inferences. We emphasize the risks of continuing with narrow monolithic approaches, using examples of weak claims to show how these could have been strengthened (or abandoned) if the researchers had followed our proposed model of causal triangulation. Finally, we elucidate the practical benefits for management researchers and stakeholders in society of adopting this theoretically pluralistic approach to causation.