When AI Meets Festivals: How eWOM Mediates the Route to Memorable Experiences and Well‐Being

João M. Lopes et al.

International Journal of Tourism Research2026https://doi.org/10.1002/jtr.70262article
AJG 2ABDC A
Weight
0.50

Abstract

Artificial intelligence (AI) is reshaping how festival‐goers interact and share experiences. This study investigates how perceptions of AI technologies (informativeness, accessibility, interactivity, personalization, and security) affect electronic word‐of‐mouth (eWOM) at music festivals and whether eWOM mediates the link between perceived AI experiences and tourists' well‐being. Survey data from 400 attendees at Portuguese festivals were analyzed using multiple linear regressions. Interactivity and informativeness significantly increased eWOM, whereas accessibility, personalization, and security did not. eWOM also acted as an information‐diffusion mechanism that fosters memorable experiences and mediated the relationship between perceived AI technology and well‐being. These findings underscore the centrality of interactive and informative AI touchpoints in stimulating eWOM and shaping reputation and visitor perceptions. By combining AI‐enabled features with strategies that encourage eWOM, festival organizers can enhance memorable experiences and support tourists' well‐being.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1002/jtr.70262

Or copy a formatted citation

@article{joão2026,
  title        = {{When AI Meets Festivals: How eWOM Mediates the Route to Memorable Experiences and Well‐Being}},
  author       = {João M. Lopes et al.},
  journal      = {International Journal of Tourism Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1002/jtr.70262},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

When AI Meets Festivals: How eWOM Mediates the Route to Memorable Experiences and Well‐Being

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.