Economics and information technology

Scientometric analysis of smart tourism using CiteSpace

Economic Annals-XXI

Economic Annals-XXI: Volume 195, Issue (1-2), Pages: 13-25

Citation information:
Mamrayeva, D., & Tashenova, L. (2022). Scientometric analysis of smart tourism using CiteSpace. Economic Annals-XXI, 195(1-2), 13-25. doi: https://doi.org/10.21003/ea.V195-02

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Dinara Mamrayeva
PhD (Economics),
Associate Professor,
Leading Researcher,
Institute of Digital Relations;
Head, Marketing Department,
Karaganda Buketov University
28 Universitetskaya Str., Karaganda, 100000, Republic of Kazakhstan
dina2307@mail.ru
ORCID ID: http://orcid.org/0000-0001-8508-7317

Larissa Tashenova
PhD (Economics),
Director, Institute of Digital Relations;
Associate Professor of the Marketing Department,
Karaganda Buketov University
28 Universitetskaya Str., Karaganda, 100000, Republic of Kazakhstan
larisatash_88@mail.ru
ORCID ID: http://orcid.org/0000-0001-5022-0421

Scientometric analysis of smart tourism using CiteSpace

Abstract. This scientific article is devoted to the scientometric analysis of one of the new and relevant areas in economics – smart tourism, which has become widespread in the last 10-12 years. The research was conducted based on the using of materials from the Web of Knowledge database (Web of Science Core Collection: Science Citation Index Expanded, Social Science Citation Index, Arts and Humanities Citation Index Conference Proceedings Citation Index – Science, Conference Proceedings Citation Index – Social Science and Humanities Book Citation Index – Science, Book Citation Index – Social Science and Humanities, Emerging Sources Citation Index) for 2008-2022, which was later uploaded to CiteSpace 5.8.R3 to implement the tasks set in the research article: analysis of co-citations, including by authors; cluster analysis by keywords.
It should be noted that the authors presented a capacious description of the WoS database array itself: from the perspective of the country component, institutes / universities / educational institutions and funding organizations, key sections, citation, types of documents, research area, Web of Science indexes / categories, etc. Also given a brief description of the authors whose work in the field of smart tourism is the most cited today.
In general, it should be noted that the overall result of the search query «Smart Tourism» amounted to 724 documents, which were further used in the «Plain Text» format for scientometric analysis, which made it possible to determine the current and prospective areas of research in the field of smartification of tourism services, as well as build networks that visualize them visually.
The author’s methodology for conducting scientometric analysis was also developed, starting from the moment the data array was received, and ending with the final visualization, which is universal, adaptive and complex, and can be used by any researcher when conducting a scientometric analysis of this kind in any of the branches of science, including in tourism.

Keywords: Smart Tourism; Tourism Digitalization; Scientometric Analysis; Bibliographic Analysis; CiteSpace

JEL Classification: Z31; Z32; O32; O36

Acknowledgements and Funding: This research was funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (Grant No. AP09261199).

Contribution: The authors contributed equally to this work.

Data Availability Statement: The dataset is available from the author upon request.

DOI: https://doi.org/10.21003/ea.V195-02

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Received 20.09.2021
Received in revised form 22.11.2021
Accepted 26.11.2021
Available online 9.02.2022

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