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Narratives of Tomorrow: Harnessing Artificial Intelligence (AI) to Encourage Tourist Support for Preservation in Tourism

Hyunsu Kim et al.

Journal of Hospitality and Tourism Research2026https://doi.org/10.1177/10963480261420283article
AJG 2ABDC A
Weight
0.50

Abstract

Artificial intelligence (AI) offers a powerful means of envisioning the future impacts of tourism destinations. Through two rounds of focus group discussions, three experimental studies, and two supplemental studies, this research conceptualized and evaluated two types of loss-framed AI narratives using both text and visuals: deprivation of a positive future and presence of a negative one. Our results demonstrate that AI narratives depicting the presence of a negative future are more effective in motivating tourists to support heritage preservation than those illustrating the deprivation of a positive future due to evoking fear. Furthermore, this research indicates the critical moderating role of temporal distance, revealing that AI narratives describing the presence of a negative future intensify fear and enhance tourists’ support for preservation in distant future scenarios. However, distant future narratives mitigate these observed effects. Our findings provide valuable implications for designing impactful conservation campaigns to promote sustainability in tourism.

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https://doi.org/https://doi.org/10.1177/10963480261420283

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@article{hyunsu2026,
  title        = {{Narratives of Tomorrow: Harnessing Artificial Intelligence (AI) to Encourage Tourist Support for Preservation in Tourism}},
  author       = {Hyunsu Kim et al.},
  journal      = {Journal of Hospitality and Tourism Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/10963480261420283},
}

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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.