Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda. (October 2022)

• Record Type: Journal Article
• Authors: Knani, Mouna; Echchakoui, Said; Ladhari, Riadh
• Is Part Of: International journal of hospitality management. Volume 107(2022)
• Publication Date: 2022-10
• Subjects: Artificial intelligence -- Bibliometric approach -- Artificial neural network -- Robotics -- Automation -- Big data -- Research agenda; Hotel management -- Periodicals; Restaurant management -- Periodicals; Food service management -- Periodicals; Hôtels -- Gestion -- Périodiques; Restaurants -- Gestion -- Périodiques; Services alimentaires -- Gestion -- Périodiques; Food service management; Hotel management; Restaurant management; Periodicals; 647.94
• DOI: 10.1016/j.ijhm.2022.103317
• Languages: English
• ISSNs: 0278-4319

Abstract

Abstract: 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 countries, 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 perspectives and research avenues in this field. Highlights: This study examines the evolution of AI research in T&H, from 1984 to 2021. In total, 1035 manuscripts have been analyzed using a bibliometric analysis. It highlights emerging and multidisciplinary research topics on AI research in T&H. It proposes a research agenda.