Research Hotspots on Smart Tourism in China Based on Co-word Cluster Analysis

Abstract

Published journal literatures were retrieved, 2406 smart tourism research literatures were identified based on the China National Knowledge Infrastructure (CNKI), this paper makes quantitative statistics and qualitative analysis on the time distribution, keywords, and research hotspots of smart tourism research literatures by using the VOSviewer. The Co-word analysis was used to visualize the network map of key words, and the map was classified by the cluster analysis. The results show that smart tourism research literatures in china are increasing year by year, showing a linear growth trend. The research hotspots of smart tourism are mainly concentrated in six aspects: professional personnel training, development countermeasures, influencing factors, new technology application, related subject research, and public service system. Based on the analysis of the published literatures on smart tourism in China, this paper studies the status quo and research hotspots of smart tourism as a whole to provide practical and useful references for researchers in the future.