Bibliometric Analysis of Studies on Artificial Intelligence in Tourism
DOI:
https://doi.org/10.21325/jotags.2025.1601Keywords:
Tourism, Digitalization, Artificial intelligence, Bibliometric analysisAbstract
Technological advancements have significantly impacted the tourism industry through digitalisation and smart tourism applications. This study aims to map the academic literature on AI in tourism, focusing on authors, citations, keywords, journals, and countries to identify key contributions and influential scientific journals. A bibliometric analysis of 301 publications from 2003 to 2024 in the Web of Science and Scopus databases was conducted using VosViewer and Biblioshiny tools. In the keyword analysis, the terms AI, tourism, hospitality, robots, smart tourism, ChatGPT, VR, COVID-19, deep learning, technology, sustainable tourism, marketing, and travel are of particular significance. The analysis revealed that Iis Tussyadiah is the most cited author, while India, China, the USA, the UK, and Portugal are the most productive countries. The most frequently cited institutions include Northern Arizona University (USA), Nanjing University (China), Duy Tan University (Vietnam), University of Surrey (UK), Sri Balaji University (India), and Pune Institute of Business Management. The most productive journals are the International Journal of Contemporary Hospitality Management, Annals of Tourism Research, Tourism Management, Journal of Tourism Futures, and Journal of Travel Research. Keywords include AI, tourism, hospitality, robots, smart tourism, ChatGPT, VR, COVID-19, deep learning, technology, sustainable tourism, marketing, and travel.
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