Can tourist engagement enhance tourist behavioural intentions?: A combination of PLS-SEM and fsQCA approaches

• Siamak Seyfi ^[1] ; Rasoolimanesh, S. Mostafa ^[2] ; Ali Vafaei-Zadeh ^[3] ; Kourosh Esfandiar ^[4]
  1. [1] University of Oulu

     University of Oulu

     Oulu, Finlandia

     
  2. [2] Taylor's University

     Taylor's University

     Malasia

     
  3. [3] Universiti Sains Malaysia

     Universiti Sains Malaysia

     Malasia

     
  4. [4] Edith Cowan University

     Edith Cowan University

     Australia

     

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• Localización: Tourism recreation research, ISSN 0250-8281, Vol. 49, Nº. 1, 2024, págs. 63-74
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • This study aims to investigate the effects of tourist engagement dimensions on revisit and Word of Mouth (WOM) intentions of heritage tourists. The data were collected from domestic tourists in the heritage city of Kashan, Iran. To analyse the collected data, this study applies Partial Least Squares–Structural Equation Modelling (PLS-SEM) as a symmetric analysis technique, as well as fuzzy-set Qualitative Comparative Analysis (fsQCA) as an asymmetric analysis approach to strengthen the findings. The findings of PLS-SEM showed the significant effect of the absorption dimension on revisit intention, whereas these results demonstrated the significant effects of the dimensions of interaction, and identification on WOM intention. However, the results of fsQCA identified more heterogeneous combinations of dimensions of visitor engagement to predict revisit and WOM intentions. Overall, this study contributes to the extant literature on tourist engagement by constructing a composite picture of tourist engagement dimensions on the behavioural intentions of heritage tourists. The study’s theoretical contributions, its restrictions and practical implications for heritage site operators are further discussed.