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

IF 6.5 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Information Systems Journal Pub Date : 2023-04-23 DOI:10.1111/isj.12439
Teng Ma, Yue Cheng, Zhengzhi Guan, Boying Li, Fangfang Hou, Eric Tze Kuan Lim
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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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构造方法中的适度理论化:识别和解释QCA中适度影响的指南
鉴于数字现象的多面性,理论研究已从相关性观点转向配置性方法,这种方法接受等价性,并寻求确定最终产生特定结果的共时因果条件。尽管学者们对配置方法的兴趣与日俱增,但对节制在共时因果关系中的作用却知之甚少。尽管阐明共轭因果关系的边界条件以提高理论解释的精确性日益迫切,但却缺少一种系统的方法来理论化、识别和解释配置理论中的调节作用。为了弥补这一知识空白,我们首先建立了构型方法中调节作用的理论基础。然后,我们阐述了因果配方中因果因素的相互依存关系如何因调节因素的存在而改变的理论机制。我们还就如何在定性比较分析(QCA)的基础上验证和解释配置法中的调节作用提供了指导。我们以技术压力为背景开展了一项说明性研究,以展示我们提出的指导原则的实用性及其在帮助理论发展方面的价值。因此,我们的研究证明了配置方法中调节作用的重要性,并为这种调节作用的理论化提供了建议,从而为现有文献做出了贡献。本研究的启示可用于指导未来的理论发展,方法是识别和验证调节配置关系,这反过来又可进一步加深我们对多方面数字现象细微差别的理解。
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来源期刊
Information Systems Journal
Information Systems Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
14.60
自引率
7.80%
发文量
44
期刊介绍: The Information Systems Journal (ISJ) is an international journal promoting the study of, and interest in, information systems. Articles are welcome on research, practice, experience, current issues and debates. The ISJ encourages submissions that reflect the wide and interdisciplinary nature of the subject and articles that integrate technological disciplines with social, contextual and management issues, based on research using appropriate research methods.The ISJ has particularly built its reputation by publishing qualitative research and it continues to welcome such papers. Quantitative research papers are also welcome but they need to emphasise the context of the research and the theoretical and practical implications of their findings.The ISJ does not publish purely technical papers.
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