The increasing interest in fuzzy-set Qualitative Comparative Analysis (fsQCA) in Information Systems and marketing raises the need for a tutorial paper that discusses the basic concepts and principles of the method, provide answers to typical questions that editors, reviewers, and authors would have when dealing with a new tool of analysis, and practically guide researchers on how to employ fsQCA. This article helps the reader to gain richer information from their data and understand the importance of avoiding shallow information‐from‐data reporting. To this end, it proposes a different research paradigm that includes asymmetric, configurational‐focused case‐outcome theory construction and somewhat precise outcome testing. This article offers a detailed step-by-step guide on how to employ fsQCA by using as an example an already published study. We analyze the same dataset and present all the details in each step of the analysis to guide the reader onto how to employ fsQCA. The article discusses differences between fsQCA and variance-based approaches and compares fsQCA with those from structured equation modelling. Finally, the article offers a summary of thresholds and guidelines for practice, along with a discussion on how existing papers that employ variance-based methods are extendable and complemented through fsQCA.

对信息系统和市场营销中的模糊集定性比较分析（fsQCA）的兴趣日益浓厚，因此需要一种讨论该方法的基本概念和原理，为编辑人员，审阅者和作者可能遇到的典型问题提供答案的教程纸。在处理新的分析工具时，实际上指导研究人员如何使用fsQCA。本文可帮助读者从其数据中获取更丰富的信息，并了解避免浅层信息从数据报告的重要性。为此，它提出了一种不同的研究范式，包括不对称的，以配置为重点的案例结果理论构建和较为精确的结果测试。本文以已发表的研究为例，提供了有关如何使用fsQCA的详细分步指南。我们分析同一数据集，并在分析的每个步骤中展示所有详细信息，以指导读者如何使用fsQCA。本文讨论了fsQCA与基于方差的方法之间的差异，并将fsQCA与结构化方程模型的方法进行了比较。最后，本文概述了实践的阈值和准则，并讨论了如何使用fsQCA扩展和补充采用基于方差的方法的现有论文。