Exploring the antecedents of cruisers’ destination loyalty: cognitive destination image and cruisers’ satisfaction
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This study is one of the few of its kind that explores the individual impact of each of the cognitive attributes of a tourist destination’s image on cruisers’ destination loyalty and overall satisfaction. It also analyzes the mediating role of satisfaction between each of the attributes and loyalty. Variance-based structural equation modeling (PLS-SEM) was used for this analysis, based on a survey of 457 cruisers visiting the city of Malaga. The results confirm that three of the five attributes, the destination’s environment image, the perceived value image of services and the accessibility image have a direct influence on cruisers’ overall satisfaction, where environment image has the most significant impact. Moreover, the results support the mediating role of satisfaction in certain cases. There is total mediation between perceived value and loyalty, as well as between accessibility image and loyalty while there is only partial complementary mediation between environment image and loyalty. The confirmation that overall satisfaction influences loyalty enables management organizations to develop more efficient loyalty strategies for their respective destinations.
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A sound destination image can attract new visitors, and also cultivate loyal customers and destination promoters, thereby strengthening its position in a competitive tourism market.
“A sound destination image can attract new visitors, and also cultivate loyal customers and destination promoters, thereby strengthening its position in a competitive tourism market (Benítez-Márquez et al., 2021; Chi et al., 2022).”
From A study on the influence of rural tourism’s perceived destination restorative qualities on loyalty based on SOR model (2025) · cites this paper as Benítez-Márquez et al., 2021
Section 2.1 links destination image to travelers’ destination choices, and the Managerial Implications section links cruisers’ image-related satisfaction to repeat visits and recommendations. The paper does not establish that these effects strengthen a destination’s position in a competitive tourism market, and its own findings concern cruisers rather than visitors generally. The supplied passages have no page numbers. (LLM, conf=0.82)
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- Authors
- Benítez-Márquez, M. D., Bermúdez-González, G., Sánchez-Teba, E. M., & Cruz-Ruiz, E.
- Affiliations
- Universidad de Málaga (ES)
- Department of Business Management, Faculty of Commerce and Management, University of Malaga, 29071 Malaga, Spain
- Corresponding author
- Benítez-Márquez, María Dolores
- ORCID
- Venue
- Mathematics
- Publisher
- MDPI AG
- Published
- 2021-05-27
- Volume
- 9
- Issue
- 11
- Pages
- 1218
- ISSN
- 2227-7390 (ISSN-L)
- OpenAlex
- W3172462547
- Cited by
- 5
- References
- 158
- Citations by year
- 2025: 1 · 2023: 1 · 2022: 1 · 2021: 2
- FWCI
- 0.74
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Mathematics (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Repositorio Institucional de la Universidad de Málaga (University of Málaga) (submittedVersion, other-oa)
- Topics
- Social Sciences › Transportation › Cruise Tourism Development and Management
- Social Sciences › Sociology and Political Science › Diverse Aspects of Tourism Research
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Keywords
- tourist loyalty, cruise tourism, destination image, tourist satisfaction, mediating effect of satisfaction, loyalty strategies, Málaga
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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