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Theorising moderation in the configurational approach: A guide for identifying and interpreting moderating influences in QCA

适度 因果关系 背景(考古学) 公平性 因果结构 认识论 反事实条件 定性比较分析 心理学 认知心理学 社会心理学 计算机科学 反事实思维 人工智能 古生物学 哲学 物理 量子力学 生物 机器学习
作者
Teng Ma,Yue Cheng,Zhengzhi Guan,Boying Li,Fangfang Hou,Eric T.K. Lim
出处
期刊:Information Systems Journal [Wiley]
卷期号:34 (3): 762-787 被引量:26
标识
DOI:10.1111/isj.12439
摘要

Abstract Given the multifaceted nature of digital phenomena, theorising has shifted from the correlational view toward the configurational approach, which embraces equifinality and seeks to identify conjunctural causal conditions culminating in a given outcome. Despite growing scholarly interest in the configurational approach, little is known about how moderation functions in conjunctural causation. Although there is a growing urgency for elucidating the boundary conditions of conjunctural causation to bolster the precision of theoretical explanations, a systematic approach to theorising, identifying, and interpreting moderation in configurational theories is missing. To bridge this knowledge gap, we first establish the theoretical grounding for moderation in the configurational approach. We then articulate the theoretical mechanism underlying how the interdependence of causal factors in a causal recipe is altered by the presence of a moderator. We also offer guidance on how to validate and interpret moderation in the configurational approach based on Qualitative Comparative Analysis (QCA). We conduct an illustrative study in the context of technostress to showcase the utility of our proposed guidelines and their value in aiding theory development. Our study hence contributes to extant literature by attesting to the significance of moderation in the configurational approach and offering recommendations for theorising such moderations. Insights from this study can be harnessed to guide future theory development by identifying and validating moderated configurational relationships, which in turn can further enhance our understanding of nuances in multifaceted digital phenomena.
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