The past, present, and future of AI in hospitality and tourism: a bibliometric analysis

Purpose Research on artificial intelligence (AI) in the tourism and hospitality (T&H) sector is continuously evolving. This paper aims to offer a comprehensive bibliometric analysis of AI research within the T&H industry, examining its developmental trajectory, underlying knowledge structure. Design/methodology/approach This study conducted a bibliometric analysis of 2,045 articles (1976–2024). Various bibliometric techniques, such as performance analysis, keyword co-occurrence mapping and bibliographic coupling, were used to identify the research progress. Findings This research discerns four crucial research themes, the frontiers of AI in T&H, and the most frequently adopted theories, including the theory of planned behavior (TPB), grounded theory and technology acceptance model (TAM). Research limitations/implications This research offers deeper understanding of the prominent research themes, prevalent theories and frontiers in the field of AI within T&H context over the past four decades. Furthermore, the research discusses future research directions. Originality/value This study offers a comprehensive review of AI research in T&H. Employing the bibliometric method, it yields the primary research topics and frontiers. These findings furnish offer insightful future research directions.

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Publication Details

Journal
International Journal of Contemporary Hospitality Management
Published
2025-04-23
DOI
https://doi.org/10.1108/ijchm-07-2024-1104
Citations
21
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
52.10
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article

The past, present, and future of AI in hospitality and tourism: a bibliometric analysis

Raffaele Filieri, Kai He, Junyun Liao, Peng Du et al.
21 citations
International Journal of Contemporary Hospitality Management
AI in Service Interactions
52.10
article

The past, present, and future of AI in hospitality and tourism: a bibliometric analysis

Raffaele Filieri, Kai He, Junyun Liao, Peng Du, Wu Mingyue
article en
21 citations

Abstract

Purpose Research on artificial intelligence (AI) in the tourism and hospitality (T&H) sector is continuously evolving. This paper aims to offer a comprehensive bibliometric analysis of AI research within the T&H industry, examining its developmental trajectory, underlying knowledge structure. Design/methodology/approach This study conducted a bibliometric analysis of 2,045 articles (1976–2024). Various bibliometric techniques, such as performance analysis, keyword co-occurrence mapping and bibliographic coupling, were used to identify the research progress. Findings This research discerns four crucial research themes, the frontiers of AI in T&H, and the most frequently adopted theories, including the theory of planned behavior (TPB), grounded theory and technology acceptance model (TAM). Research limitations/implications This research offers deeper understanding of the prominent research themes, prevalent theories and frontiers in the field of AI within T&H context over the past four decades. Furthermore, the research discusses future research directions. Originality/value This study offers a comprehensive review of AI research in T&H. Employing the bibliometric method, it yields the primary research topics and frontiers. These findings furnish offer insightful future research directions.

International Journal of Contemporary Hospitality ManagementVol. 37(7)
Beijing Normal-Hong Kong Baptist University (CN), Zhongnan University of Economics and Law (CN), Jinan University (CN), Audencia Business School (FR), Jinan University (LB)
Openalex Percentile: Top 0%
AI in Service Interactions
52.10
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