Fuzzy-set qualitative comparative analysis: Introduction to a configurational approach

Research output: Contribution to book/conference proceedings/anthology/reportChapter in book/anthology/reportContributed


Growing interest in using fuzzy-set Qualitative Comparative Analysis (fsQCA) in research has increased the need for an explanation of the basic concepts, principles, and guidelines of fsQCA as a configurational method. This chapter provides such an explanation by introducing the major concepts of fsQCA as well as by demonstrating an application of the method. The aim of this chapter is to introduce set-theoretic methods and configurational theory by presenting the configurational analysis approach of fsQCA. By introducing and explaining crucial concepts such as data calibration and the truth table algorithm, the chapter sheds light on the differences between necessary and sufficient conditions used in the software ‘fsQCA’, as well as ways in which to read and interpret complex, parsimonious, and intermediate solutions offered by the software.


Original languageEnglish
Title of host publicationResearching and Analysing Business
EditorsPantea Foroudi, Charles Dennis
Place of PublicationLondon
Number of pages15
ISBN (electronic)9781003803164
ISBN (print)978-1-00-310777-4
Publication statusPublished - 14 Dec 2023

External IDs

ORCID /0000-0001-8365-8905/work/147674554
Scopus 85180065101
Mendeley 79b06e31-fc66-37ce-bb00-28d258824635


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