Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing

作者：

Highlights：

• We provide a step-by-step guide on employing fsQCA based on an already published study.

• Performing contrarian case analysis and testing for predictive validity is highly recommended.

• FsQCA can be used together with variance-based methods (e.g., SEM).

• Existing studies can be extended and complemented through fsQCA.

摘要

•We provide a step-by-step guide on employing fsQCA based on an already published study.•Performing contrarian case analysis and testing for predictive validity is highly recommended.•FsQCA can be used together with variance-based methods (e.g., SEM).•Existing studies can be extended and complemented through fsQCA.

论文关键词：Asymmetric analysis,Best practices,Calibration,Configurations,fsQCA,Fuzzy sets,Qualitative comparative analysis,Set-theoretic methods

论文评审过程：Received 10 September 2020, Revised 3 January 2021, Accepted 3 January 2021, Available online 5 February 2021, Version of Record 5 February 2021.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2021.102310