Biblometric Review on Smart Tourism Researches

The purpose of this study is to exploit bibliometric and visualization methods to investigate the social and conceptual structures of a smart researches. Accordingly, 771 research bibliometric record between 2004- 2021 have been retrieved from web of science database to be analyzed and Visualized. Descriptive data indicate the incredible increase in number of articles since 2017, hitting the record in 2020 with 201 articles. Citations maximized in 2021 with 4377 citations. Moreover, the highly cited articles, journals, authors, universities and countries were all identified. Two visualization analyses were conducted using VOS viewer software: Co-authorship analysis and Keywords co-occurrence analysis. Co-authorship findings present that China has the highest collaboration with other countries. Also keywords co-occurrence analysis showed the most used keywords in this field and consequently the research streams. As a result, smart tourism, smart City, smart tourism destination and smart tourism technologies such as internet of things and big data are among the most applied keywords in recent years. In addition, it can be understood that based on new perspective in a smart tourism, the role of all stakeholders to integrate resources and co-create is recognized, specifically tourists and smart ecosystem is being addressed.