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.
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.
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).
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.
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.
