The DOI matches its Crossref record; 136 of the 136 references it cites were found in a registry or an index.
Destination image and tourist behavioural intentions: A meta-analysis
Open accessAbstract
Abstract This article aims to understand the relationship between destination image and tourist’s behavioural intention. In this study, we used a meta-analysis to synthesize the effects of destination image from 87 studies. The results reveal that destination image plays significant role in predicting tourist’s intentional behaviour, in different magnitudes. To be more precise, overall and affective images have the greatest impact on behavioural intention, followed by cognitive image. Of the different dimensions of behavioural intentions, destination image has the greatest impact on intention to recommend. Implications are provided for destination management and tourism researchers based on meta-analysis.
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Cited by
Fan, X., Jiang, X., & Deng, N. (2022) · Tourism Management · doi:10.1016/j.tourman.2022.104534 · Cited by 586
Regional tourism destination brand identity formation via social media: A mixed methods study
Meek, S., & Wilk, V. (2025) · Journal of Vacation Marketing · doi:10.1177/13567667251386952 · Cited by 2
Metadata
- Authors
- Afshardoost, M., & Eshaghi, M. S.
- Venue
- Tourism Management
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 81
- Pages
- 104154
- ISSN
- 0261-5177 (ISSN-L)
- OpenAlex
- W3029172316
- Cited by
- 567
- References
- 136
- FWCI
- 17.07
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
