Author
Listed:
- Cristian Rusu
(Escuela de Ingeniería Informática, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile)
- Nicolás Matus
(Escuela de Ingeniería Informática, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile)
- Virginica Rusu
(Departamento de Humanidades, Universidad de Playa Ancha de Ciencias de la Educación, Valparaíso 2340000, Chile)
- Camila Muñoz
(Escuela de Ingeniería Informática, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile)
- Ayaka Ito
(Department of Business and Informatics, Shohoku College, Kanagawa 2438501, Japan
Faculty of Foreign Studies, Reitaku University, Chiba 2778686, Japan)
Abstract
This study specifies and validates a three-layer Structural Equation Model (SEM) that accounts for how tourists’ evaluations of destination attributes translate into loyalty; the model is based on UN Tourism’s sustainability pillars. Guided by service-science and Customer Experience (CX) logics, and adopting a Tourist Experience (TX) framework that treats Tourist Experience as a domain-specific case of CX, we define five first-order antecedents—Emotions (EMS), Local Culture (CTL), Authenticity (AUT), Entertainment (ENT), and Servicescape (SVS)—that load onto a higher-order appraisal, Global Perception (GEN), which in turn drives Destination Loyalty (LOY). Using ordinal indicators and a robust diagonally weighted least squares estimator (WLSMV), the model exhibits a good global fit (CFI/TLI = 0.970/0.968; SRMR = 0.049; RMSEA = 0.073 [90% CI = 0.070–0.076]). Standardized effects indicate that GEN is primarily explained by Emotions (β = 0.445, p < 0.001), Authenticity (β = 0.271, p < 0.001), and Servicescape (β = 0.241, p < 0.001), whereas CTL and ENT are not significant when competing with these other predictors. GEN strongly predicts LOY (β = 0.967, p < 0.001), mediating sizable indirect effects from EMS, AUT, and SVS to LOY. The findings corroborate a parsimonious mediational chain in which affective, meaning-related, and infrastructural inputs cohere into a single global appraisal that is proximal to loyalty. Our study provides a decision-focused blueprint for designing emotion-rich, authenticity-protecting, and well-orchestrated servicescapes to enhance GEN and, consequently, LOY; it adheres to established SEM reporting standards and articulates a holistic transactional conceptualization grounded in recent tourism literature. Improvements in GEN reflect not only better experiences but also designs consistent with long-run destination sustainability.
Suggested Citation
Cristian Rusu & Nicolás Matus & Virginica Rusu & Camila Muñoz & Ayaka Ito, 2026.
"Towards Sustainable Tourism Design: What Drives Tourist Loyalty? A Structural Equation Modeling Approach to a Tourist Experience Evaluation Scale,"
Sustainability, MDPI, vol. 18(1), pages 1-24, January.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:1:p:505-:d:1832766
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