Digital tourism: exploring the ChatGPT–metaverse synergy

Purpose This study aims to examine the integration of ChatGPT and the metaverse in digital tourism, focusing on their potential to transform tourist experiences, personalize services and inform marketing strategies. Design/methodology/approach The research adopts a conceptual framework grounded in interdisciplinary literature, presenting a theoretical model that maps the relationships among ChatGPT, the Metaverse and users across the tourism journey. Findings This paper introduces a three-phase, three-agent and three-theory framework that integrates ChatGPT and the metaverse across the tourist journey. The framework advances digital tourism theory by synthesizing the S-O-R, UTAUT and SDL models, and demonstrates how generative AI and immersive environments co-create adaptive, personalized and interactive travel experiences. Practically, it guides DMOs, SMEs and tourism stakeholders in implementing hybrid tours, real-time service delivery and user-driven feedback systems. Socially, it highlights pathways to inclusive, accessible and ethically responsible digital tourism. Originality/value This study contributes to tourism research by systematically analyzing the combined impact of generative Artificial Intelligence (AI) and immersive technologies. It offers theoretical insights and practical guidance for digital tourism innovation in a post-pandemic context.

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Publication Details

Journal
Tourism Review
Published
2025-11-21
DOI
https://doi.org/10.1108/tr-04-2025-0406
Citations
2
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
4.96
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article

Digital tourism: exploring the ChatGPT–metaverse synergy

Zhisheng Chen, W. J. Chen
2 citations
Tourism Review
AI in Service Interactions
4.96
article

Digital tourism: exploring the ChatGPT–metaverse synergy

Zhisheng Chen, W. J. Chen
article en
2 citations

Abstract

Purpose This study aims to examine the integration of ChatGPT and the metaverse in digital tourism, focusing on their potential to transform tourist experiences, personalize services and inform marketing strategies. Design/methodology/approach The research adopts a conceptual framework grounded in interdisciplinary literature, presenting a theoretical model that maps the relationships among ChatGPT, the Metaverse and users across the tourism journey. Findings This paper introduces a three-phase, three-agent and three-theory framework that integrates ChatGPT and the metaverse across the tourist journey. The framework advances digital tourism theory by synthesizing the S-O-R, UTAUT and SDL models, and demonstrates how generative AI and immersive environments co-create adaptive, personalized and interactive travel experiences. Practically, it guides DMOs, SMEs and tourism stakeholders in implementing hybrid tours, real-time service delivery and user-driven feedback systems. Socially, it highlights pathways to inclusive, accessible and ethically responsible digital tourism. Originality/value This study contributes to tourism research by systematically analyzing the combined impact of generative Artificial Intelligence (AI) and immersive technologies. It offers theoretical insights and practical guidance for digital tourism innovation in a post-pandemic context.

Tourism Review
Wuxi Taihu Hospital (CN)
Openalex Percentile: Top 4%
AI in Service Interactions
4.96
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Digital tourism: exploring the ChatGPT–metaverse synergy — Zhisheng Chen, W. J. Chen · Tourism Review (2025) | TGRS Research Map | TGRS