The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Towards a new approach of destination loyalty drivers: satisfaction, visit intensity and tourist motivations
Abstract
This study explores the linear and non-linear effects of previous experiences in a tourist destination (satisfaction and visit intensity) on the intention to return and to make a positive recommendation to others. We also consider the external drivers or the appeal of the destination as well as individuals' internal drivers as moderating factors in intensity–loyalty and satisfaction–loyalty relations. The analysis conducted on a sample of 687 tourists in a UNESCO World Heritage Site in Spain supports a non-linear effect of satisfaction on the intention to return. Moreover, time intense and expenditure intense visits positively impact the intention to return when the motivation for the trip is internal, yet have a negative effect if tourist motives are external.
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Cites
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Cited by
Patwardhan, V., Ribeiro, M. A., Payini, V., Woosnam, K. M., Mallya, J., & Gopalakrishnan, P. (2020) · Journal of Travel Research · doi:10.1177/0047287518824157 · Cited by 267
Engaging with restorative environments in wellness tourism
Backman, S. J., Huang, Y.-C., Chen, C.-C., Lee, H.-Y., & Cheng, J.-S. (2023) · Current Issues in Tourism · doi:10.1080/13683500.2022.2039100 · Cited by 133
Benítez-Márquez, M. D., Bermúdez-González, G., Sánchez-Teba, E. M., & Cruz-Ruiz, E. (2021) · Mathematics · doi:10.3390/math9111218 · Cited by 5
Metadata
- Authors
- Antón, C., Camarero, C., & Laguna-García, M.
- Venue
- Current Issues in Tourism
- Publisher
- Informa UK Limited
- Published
- 2014-07-14
- Volume
- 20
- Issue
- 3
- Pages
- 238-260
- ISSN
- 1368-3500 (ISSN-L)
- 1747-7603
- OpenAlex
- W2001575045
- Cited by
- 279
- References
- 74
- FWCI
- 24.86
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
