Abstract
While prior studies on destination image congruence have mainly focused on the tourist–supplier perspective and assumed linear effects, this study extends the scope by incorporating inter-tourist alignment and examining its asymmetric influence on tourists' emotional evaluations. Tourist reviews and promotional messages from TripAdvisor were analyzed using a pretrained transformer model to compute semantic similarity across diverse tourist attractions. Regression models tested the nonlinear effects of both congruence types. The results show an inverted U-shaped relationship for tourist–supplier congruence and a consistently positive convex relationship for inter-tourist congruence. The effect of inter-tourist congruence is further strengthened by review recency. The study provides practical implications for strategically managing user-generated content and optimizing destination marketing strategies.
| Original language | English |
|---|---|
| Article number | 104064 |
| Journal | Annals of Tourism Research |
| Volume | 116 |
| DOIs | |
| Publication status | Published - Jan 2026 |
Bibliographical note
Publisher Copyright:Copyright © 2025. Published by Elsevier Ltd.
Keywords
- Destination image
- Destination image congruence
- Destination marketing
- Review recency
- Text mining
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