Document Type : Research Paper

Author

• Faezeh Asadian Ardakani

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

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

Main Subjects

• tourism management