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)
28 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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