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The five influencing factors of tourist loyalty: A meta-analysis

BACKGROUND: The factors influencing tourist loyalty are widely highlighted in the literature. However, we find that the relationship between some influencing factors and loyalty is still inconsistent, and we don’t yet know the strength and magnitude of the relationships. To address this issue, this...

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Autores principales: Wang, Lidong, Li, Xiuhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089331/
https://www.ncbi.nlm.nih.gov/pubmed/37040349
http://dx.doi.org/10.1371/journal.pone.0283963
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author Wang, Lidong
Li, Xiuhong
author_facet Wang, Lidong
Li, Xiuhong
author_sort Wang, Lidong
collection PubMed
description BACKGROUND: The factors influencing tourist loyalty are widely highlighted in the literature. However, we find that the relationship between some influencing factors and loyalty is still inconsistent, and we don’t yet know the strength and magnitude of the relationships. To address this issue, this study examined a meta-analysis of the five factors (satisfaction, motivation, perceived value, perceived quality, and experience quality) influencing tourist loyalty and its sub-dimensions. METHODS: The samples included articles from major academic databases, including Web of Science, Wiley Online, EBSCO, SAGE, Taylor and Francis, and Elsevier. Studies written in Chinese were retrieved from CNKI.com. We used the following keywords for retrieval: loyalty, behavioral intention, recommendation intention, word-of-mouth, revisit intentions, intention to revisit, willingness to recommend, and similar related terms. Conceptual and empirical studies published between January 1989 and September 2021 were extracted. To test whether there was publication bias, we used Fail-Safe-Number (FSN) to verify the stability of the results. The homogeneity test of the selected statistical model was based on the Q test and I(2). The results were obtained by combining multiple single effect values into the combined effect value. RESULTS: We developed 21 hypotheses and proposed a theoretical framework and analyzed 114650 accumulated sample sizes from 242 independent empirical studies. Among the 21 hypotheses proposed in this paper, the remaining 20 hypotheses have been proved except for hypothesis H6. CONCLUSIONS: The findings showed that the five factors had varying degrees of positive and significant relationships with tourist loyalty and its sub-dimensions. In the descending order of effects, the five factors are degree of satisfaction, quality of experience, perceived value, perceived quality and motivation. We discussed the significance of the meta-analysis, theoretical and practical implications for destination marketing.
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spelling pubmed-100893312023-04-12 The five influencing factors of tourist loyalty: A meta-analysis Wang, Lidong Li, Xiuhong PLoS One Research Article BACKGROUND: The factors influencing tourist loyalty are widely highlighted in the literature. However, we find that the relationship between some influencing factors and loyalty is still inconsistent, and we don’t yet know the strength and magnitude of the relationships. To address this issue, this study examined a meta-analysis of the five factors (satisfaction, motivation, perceived value, perceived quality, and experience quality) influencing tourist loyalty and its sub-dimensions. METHODS: The samples included articles from major academic databases, including Web of Science, Wiley Online, EBSCO, SAGE, Taylor and Francis, and Elsevier. Studies written in Chinese were retrieved from CNKI.com. We used the following keywords for retrieval: loyalty, behavioral intention, recommendation intention, word-of-mouth, revisit intentions, intention to revisit, willingness to recommend, and similar related terms. Conceptual and empirical studies published between January 1989 and September 2021 were extracted. To test whether there was publication bias, we used Fail-Safe-Number (FSN) to verify the stability of the results. The homogeneity test of the selected statistical model was based on the Q test and I(2). The results were obtained by combining multiple single effect values into the combined effect value. RESULTS: We developed 21 hypotheses and proposed a theoretical framework and analyzed 114650 accumulated sample sizes from 242 independent empirical studies. Among the 21 hypotheses proposed in this paper, the remaining 20 hypotheses have been proved except for hypothesis H6. CONCLUSIONS: The findings showed that the five factors had varying degrees of positive and significant relationships with tourist loyalty and its sub-dimensions. In the descending order of effects, the five factors are degree of satisfaction, quality of experience, perceived value, perceived quality and motivation. We discussed the significance of the meta-analysis, theoretical and practical implications for destination marketing. Public Library of Science 2023-04-11 /pmc/articles/PMC10089331/ /pubmed/37040349 http://dx.doi.org/10.1371/journal.pone.0283963 Text en © 2023 Wang, Li https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wang, Lidong
Li, Xiuhong
The five influencing factors of tourist loyalty: A meta-analysis
title The five influencing factors of tourist loyalty: A meta-analysis
title_full The five influencing factors of tourist loyalty: A meta-analysis
title_fullStr The five influencing factors of tourist loyalty: A meta-analysis
title_full_unstemmed The five influencing factors of tourist loyalty: A meta-analysis
title_short The five influencing factors of tourist loyalty: A meta-analysis
title_sort five influencing factors of tourist loyalty: a meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089331/
https://www.ncbi.nlm.nih.gov/pubmed/37040349
http://dx.doi.org/10.1371/journal.pone.0283963
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