Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda

Artificial intelligence (AI) has received a great deal of attention in tourism and hospitality (T&H) literature and practices. The authors of this study propose a bibliometric approach aiming to examine current state-of-the-art AI research in T&H. In total, 1035 manuscripts published between 1984 and 2021 were retrieved form Scopus and Web of Science. This study highlights the evolving volume of studies, authors, affiliated institutions and coun-tries, authorship networks, keyword co-occurrences, and keyword networks and also includes a thematic map that highlights four types of research: motor themes (i.e., artificial neural networks and data mining); basic and transversal themes (i.e., text mining and sentiment analysis, Internet of things and big data, COVID and AI); emerging themes (experience with service robots); and specialized and peripheral themes (e.g., forecasting tourism models, augmented reality and virtual reality, and biometrics). The paper concludes with future per-spectives and research avenues in this field.