Artificial Intelligence Studies in the Field of Tourism and Hospitality: A Bibliometric and Network Analysis

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Kılıçhan R. , Yılmaz M.

IV. International West Asia Congress of Tourism Research Congress (IWACT), Çanakkale, Turkey, 15 - 17 October 2020, pp.51-52

  • Publication Type: Conference Paper / Summary Text
  • City: Çanakkale
  • Country: Turkey
  • Page Numbers: pp.51-52





Asst. Prof. Dr. Reha KILIÇHAN

Erciyes University, Tourism Faculty, Department of Gastronomy and Culinary Arts


Res. Asst. Mustafa YILMAZ

Erciyes University, Tourism Faculty, Department of Tourism Management




The use of artificial intelligence technologies in the tourism industry is increasing. Various tourism enterprises invest in these technologies for many reasons including gaining competitive advantage and increasing productivity, and they employ these technologies in their businesses. In this regard, there is an ever-growing body of knowledge regarding artificial intelligence in the field of tourism. At this point, this study aims to reveal the general development of artificial intelligence literature in the field of tourism and hospitality by using bibliometric and network analyses. The study is significant for researchers in terms of being one of the first studies to be carried out in the relevant field, presenting the current situation, and contributing to the current body of knowledge. In this regard, the articles published in journals indexed in the Web of Science (WoS) database between 1975 and 2020 were included in the analysis as of August 2020. The analysis was limited to articles written in English only. In the bibliometric analysis of the articles, the number of articles and citations by years, the number of articles according to the journals that they were published, and the citations that they received, the number of articles according to the number of authors, the authors who conducted the utmost number of studies in this field, the academic productivity of the authors, countries, and institutions, the most used keywords in the studies in this field, and the most cited articles were included. For visualization and mapping "VOSviewer" and "R package bibliometrix" programs were used, and co-citation network analysis of journals, co-authorship network analysis, the co-occurrence of keywords, and network analysis of collaborating countries and institutions were included. Key findings of the research are presented and discussed in detail. The findings can provide some useful insights into academic circles. Researchers can have a clear understanding of the structure and development of this relevant field and familiarize with the most productive authors, countries, and institutions.

Keywords: Artificial intelligence, robot, tourism, bibliometric analysis, network analysis.