Akademik Veri Yönetim Sistemi
IV. International West Asia Congress of Tourism Research Congress (IWACT), Çanakkale, Türkiye, 15 - 17 Ekim 2020, ss.51-52
ARTIFICIAL INTELLIGENCE STUDIES IN THE FIELD OF TOURISM
AND HOSPITALITY: A BIBLIOMETRIC AND NETWORK ANALYSIS
Asst. Prof. Dr. Reha KILIÇHAN
Erciyes University, Tourism Faculty, Department of Gastronomy and Culinary
Arts
rehakilichan@gmail.com
Res. Asst. Mustafa YILMAZ
Erciyes University, Tourism Faculty, Department of Tourism Management
mustafa.yilmaz@erciyes.edu.tr
ABSTRACT
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.