Machine Learning in Tourism Research: A Bibliometric Analysis Using Dimensions Database

Tourism has been an essence for the economic growth. The tourism has been growing steadily and application of technology in tourism has been ever-increasing. The tourism organizations have been putting the technology to forecast and meet the demand. Machine learning has been very helpful for such organizations in understanding the tourism statistics. In this paper, a bibliometric analysis was carried out using Dimensions as the database and VOSviewer as the analytical tool. A total of 271 documents were analyzed. Nearly 18% of these come from China, 10% from United States and around 7% from India. The results were represented in the forms of graph, tables and figures. The analysis shows how little research work has been done in this emerging dimension of tourism business research. The analysis puts up the future direction for the researchers particularly involved in tourism research.