Use of artificial intelligence in smart tourism: bibliometric analysis

The investigation of artificial intelligence utilization in smart tourism is a pertinent and dynamically evolving direction that combines innovative technologies with practical applications in the tourism industry. The search for the most relevant publications was conducted using the search terms “a...

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Main Authors: Dziurakh Yurii, Kulyniak Ihor, Halanets Volodymyr, Dzyana Halyna, Dzyanyy Rostyslav
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/31/e3sconf_iccsei2023_01002.pdf
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author Dziurakh Yurii
Kulyniak Ihor
Halanets Volodymyr
Dzyana Halyna
Dzyanyy Rostyslav
author_facet Dziurakh Yurii
Kulyniak Ihor
Halanets Volodymyr
Dzyana Halyna
Dzyanyy Rostyslav
author_sort Dziurakh Yurii
collection DOAJ
description The investigation of artificial intelligence utilization in smart tourism is a pertinent and dynamically evolving direction that combines innovative technologies with practical applications in the tourism industry. The search for the most relevant publications was conducted using the search terms “artificial intelligence,” “AI,” and “smart tourism” in titles, abstracts, and keywords within the Scopus bibliographic database for the period from 2013 to July 2023. Utilizing the Scopus database tool “Analyze results,” the growth dynamics of indexed publications were identified; the industry structure of indexed publications in Scopus was determined; and the most cited publications and journals were ascertained. Employing VOSviewer software, network maps of shared words were constructed based on bibliographic data. Six main thematic directions and trends in the study of artificial intelligence utilization in smart tourism were identified.
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spelling doaj.art-3db520cde6164d6080c679910c4058ed2024-03-22T07:55:39ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015010100210.1051/e3sconf/202450101002e3sconf_iccsei2023_01002Use of artificial intelligence in smart tourism: bibliometric analysisDziurakh Yurii0Kulyniak Ihor1Halanets Volodymyr2Dzyana Halyna3Dzyanyy Rostyslav4Lviv Polytechnic National UniversityLviv Polytechnic National UniversityLviv Polytechnic National UniversityLviv Polytechnic National UniversityLviv Polytechnic National UniversityThe investigation of artificial intelligence utilization in smart tourism is a pertinent and dynamically evolving direction that combines innovative technologies with practical applications in the tourism industry. The search for the most relevant publications was conducted using the search terms “artificial intelligence,” “AI,” and “smart tourism” in titles, abstracts, and keywords within the Scopus bibliographic database for the period from 2013 to July 2023. Utilizing the Scopus database tool “Analyze results,” the growth dynamics of indexed publications were identified; the industry structure of indexed publications in Scopus was determined; and the most cited publications and journals were ascertained. Employing VOSviewer software, network maps of shared words were constructed based on bibliographic data. Six main thematic directions and trends in the study of artificial intelligence utilization in smart tourism were identified.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/31/e3sconf_iccsei2023_01002.pdf
spellingShingle Dziurakh Yurii
Kulyniak Ihor
Halanets Volodymyr
Dzyana Halyna
Dzyanyy Rostyslav
Use of artificial intelligence in smart tourism: bibliometric analysis
E3S Web of Conferences
title Use of artificial intelligence in smart tourism: bibliometric analysis
title_full Use of artificial intelligence in smart tourism: bibliometric analysis
title_fullStr Use of artificial intelligence in smart tourism: bibliometric analysis
title_full_unstemmed Use of artificial intelligence in smart tourism: bibliometric analysis
title_short Use of artificial intelligence in smart tourism: bibliometric analysis
title_sort use of artificial intelligence in smart tourism bibliometric analysis
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/31/e3sconf_iccsei2023_01002.pdf
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