The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
Understanding the intention to revisit a destination by expanding the theory of planned behaviour (TPB)
Open accessAbstract
Purpose: The purpose of this study is to unearth the factors that influence tourists’ revisit intention. The proposed model of the study is grounded on using the theory of planned behaviour (TPB) and extending it with additional variables, i.e. satisfaction, destination image, perceived risk, service quality and perceived value. Design/methodology/approach: This study adopted a cross-sectional approach to collect data. The data were collected by conducting a field survey questionnaire on 330 respondents and were analysed using partial least squares version 3.2.9. Findings: The results show that perceived behavioural control, perceived value, destination image and satisfaction significantly affect visitors’ revisit intention. The influence of perceived value, perceived service quality and destination image on satisfaction is also confirmed. On the other hand, satisfaction is found to be a significant mediator between perceived service quality, destination image and perceived value. Originality/value: The extended TPB model that includes perceived service quality, perceived value, perceived risk and satisfaction provided a model with a theoretical basis to explain tourist revisit intentions to a tourist destination.
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Cites
1 retracted
Sharma, P., & Nayak, J. K. (2018) · Tourism Management Perspectives · doi:10.1016/j.tmp.2018.07.004 · Cited by 159
RetractedThe theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459
Preacher, K. J., & Hayes, A. F. (2008) · Behavior Research Methods · doi:10.3758/brm.40.3.879 · Cited by 34,117
When to Use and How to Report the Results of PLS-SEM
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019) · European Business Review · doi:10.1108/ebr-11-2018-0203 · Cited by 27,541
Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence
Zeithaml, V. A. (1988) · Journal of Marketing · doi:10.1177/002224298805200302 · Cited by 18,292
Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research
F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014) · European Business Review · doi:10.1108/ebr-10-2013-0128 · Cited by 11,728
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003) · Information Systems Research · doi:10.1287/isre.14.2.189.16018 · Cited by 6,479
Cronin, J. J., Brady, M. K., & Hult, G. T. M. (2000) · Journal of Retailing · doi:10.1016/s0022-4359(00)00028-2 · Cited by 6,398
Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control
Ajzen, I., & Madden, T. J. (1986) · Journal of Experimental Social Psychology · doi:10.1016/0022-1031(86)90045-4 · Cited by 5,718
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Service robot anthropomorphism on consumer usage intention: curvilinear and linear effect
Yang, M., Li, J., Feng, L., Chen, S.-C., & Tseng, M.-L. (2024) · Industrial Management & Data Systems · doi:10.1108/imds-08-2023-0538 · Cited by 33
Metadata
- Authors
- Abbasi, G. A., Kumaravelu, J., Goh, Y.-N., & Dara Singh, K. S.
- Venue
- Spanish Journal of Marketing - ESIC
- Publisher
- Emerald
- Published
- 2021-02-15
- Volume
- 25
- Issue
- 2
- Pages
- 282-311
- ISSN
- 2444-9695 (ISSN-L)
- 2444-9709
- OpenAlex
- W3134926279
- Cited by
- 269
- References
- 87
- FWCI
- 66.32
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Abbasi, G. A., Kumaravelu, J., Goh, Y.-N., & Dara Singh, K. S. (2021). Understanding the intention to revisit a destination by expanding the theory of planned behaviour (TPB). Spanish Journal of Marketing - ESIC. https://doi.org/10.1108/sjme-12-2019-0109
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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.