Tourism Management Studies

Analyzing Tourist Satisfaction Through Artificial Intelligence: A Bibliometric Study

Document Type : Research Paper

Author

Faezeh Asadian Ardakani

Assistance Professor of Department of Management Sciences, Yazd University, Yazd, Iran

https://doi.org/10.22054/tms.2025.83370.3012
Abstract
Increasing tourist satisfaction is a key challenge in the tourism industry. In recent years, the application of artificial intelligence to address this challenge has attracted significant attention, leading to a surge in related research. This study analyzes existing literature using a bibliometric approach to map the scientific landscape, identify emerging trends, and suggest future research directions. After applying appropriate search strategies and screening criteria, 499 articles were retrieved from Scopus and analyzed using the Bibliometrix package in R. The findings highlight that sentiment analysis and review of tourists' online feedback, especially through natural language processing tools, are crucial for understanding customer needs and enhancing satisfaction. Machine learning algorithms identifying behavioral patterns and predicting future demands significantly improve tourist experiences. Additionally, electronic word-of-mouth, as an emerging concept, directly impacts tourist satisfaction.

Keywords

Tourism and Hospitality Industry
Tourist Satisfaction
Artificial Intelligence
Bibliometric Analysis
Subjects
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Tourism Management Studies
Volume 20, Issue 71
Autumn 2025
Pages 253-294

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