Guideline for application of fuzzy-set Qualitative Comparative Analysis (fsQCA) in tourism and hospitality studies

S. Mostafa Rasoolimanesh, Naser Valaei, Sajad Rezaei

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    2 Citations (Scopus)
    68 Downloads (Pure)

    Abstract

    The aim of this chapter is to review and illustrate a step-by-step guideline in conducting fuzzy-set Qualitative Comparative Analysis (fsQCA) in tourism and hospitality studies. As an emerging method, fsQCA is simultaneously quantitative and qualitative in nature which makes it an appropriate method for social science disciplines including tourism and hospitality area because of complex nature of relationships between multiple variables where theories and models are underdeveloped. Unlike conventional statistical techniques, fsQCA is an asymmetrical analysis technique that provides a holistic view and interrelationships among several conditions using Boolean algebra. The fsQCA analyses produce comprehensive assessment by revealing causal combinations of antecedents to predict an outcome; and identify sufficient configurations (i.e., causal combinations and recipes) and necessary condition/s. By utilizing this method, researchers would be able to produce complex, comprehensive, and robust results.
    Original languageEnglish
    Title of host publicationCutting Edge Research Methods in Hospitality and Tourism
    EditorsFevzi Okumus, S. Mostafa Rasoolimanesh, Shiva Jahani
    Place of PublicationBingley
    PublisherEmerald Publishing Limited
    Pages137-156
    Number of pages20
    ISBN (Electronic)9781804550632
    ISBN (Print)9781804550649
    DOIs
    Publication statusPublished - 25 Jan 2023

    Keywords

    • qualitative comparative analysis
    • fuzzy-set qualitative analysis
    • asymmetrical analysis
    • set-theoretic approach
    • calibration
    • coverage
    • consistency
    • truth table

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