30 years of artificial intelligence (AI) research relating to the hospitality and tourism industry

Abstract

Purpose

This study aims to review the progress of research on artificial intelligence (AI) relating to the hospitality and tourism industry, focusing on the content, focal points, key terms and trends of AI research.

Design/methodology/approach

A total of 491 referred papers are selected from the Web of Science core collection database. These papers, published in the past 30 years (1991–2021), are analyzed by using Gephi and VOSviewer software.

Findings

AI research shows a growing trend since 1991, and the number of publications and citations increased significantly since 2018, indicating that AI became a focus for researchers. AI studies are grouped into four clusters, namely, AI technology, technology acceptance, customers’ perception and future trends. The research focus changed from AI technology in the early stage to customers’ attitudes toward and willingness to accept AI.

Research limitations/implications

The findings contribute to advance knowledge development, identify research gaps and shed light on future research. The results offer practical enlightenment for governments, tourism destinations and hospitality organization.

Practical implications

The results offer practical enlightenment for governments, tourism destinations and hospitality organization.

Originality/value

This study is the initial attempt to provide a systematic review of AI research relating to the tourism and hospitality fields.

Citation

Kong, H., Wang, K., Qiu, X., Cheung, C. and Bu, N. (2023), "30 years of artificial intelligence (AI) research relating to the hospitality and tourism industry", International Journal of Contemporary Hospitality Management, Vol. 35 No. 6, pp. 2157-2177. https://doi.org/10.1108/IJCHM-03-2022-0354