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Antecedents of destination advocacy using symmetrical and asymmetrical modeling techniques
Ali, Faizan Turktarhan, Gozde Chen, Xianglan Ali, Murad
Ali, Faizan
Turktarhan, Gozde
Chen, Xianglan
Ali, Murad
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EPub Date
Publication Date
2022-12-16
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Abstract
This study uses a multi-method approach to examine antecedents of destination advocacy. Data were collected from 549 respondents via Amazon MTurk. A symmetrical analysis based on partial least squares-structural equation modeling (PLS-SEM) and asymmetrical analysis based on fuzzy-set qualitative comparative analysis explore how combinations of various antecedents, including hospitality, perceived authenticity, destination experience quality, and destination love lead to high and low levels of destination advocacy. Findings indicate that hospitality and authenticity significantly impact destination experience quality. Moreover, destination experience quality and destination love have a significant impact on destination advocacy. Finally, fuzzy-set Qualitative Comparative Analysis (fsQCA) results reveal that a high level of hospitality and destination quality leads to destination advocacy.
Citation
Ali, F., Turktarhan, G., Chen, X., & Ali, M. (2023). Antecedents of destination advocacy using symmetrical and asymmetrical modeling techniques. The Service Industries Journal, 43(7-8), 475-496. https://doi.org/10.1080/02642069.2022.2146098
Publisher
Taylor & Francis
Journal
The Service Industries Journal
Research Unit
DOI
10.1080/02642069.2022.2146098
PubMed ID
PubMed Central ID
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Article
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Description
This is an Accepted Manuscript of an article published by Taylor & Francis in The Service Industries Journal on 16/12/2023, available online: https://doi.org/10.1080/02642069.2022.2146098
Series/Report no.
ISSN
0264-2069
EISSN
1743-9507