Akademik Veri Yönetim Sistemi
The 6th Conference on Managing Tourism Across Continents, İstanbul, Türkiye, 30 Nisan - 03 Mayıs 2025, (Tam Metin Bildiri)
Purpose: This study aims to analyze the role and impact of Artificial Intelligence (AI) in tourism literature through a bibliometric analysis, identifying key research clusters and emerging trends. By examining AI applications, this research provides insights into theoretical and practical contributions while outlining future research directions.
Study design/methodology/approach: A bibliometric analysis was conducted using Scopus-indexed publications on AI in tourism. The dataset included 817 articles, 30 books, and 230 book chapters, totaling 1,077 publications. The analysis was performed using VOSviewer, a widely used tool for mapping co-occurrence networks and identifying research clusters.
Results: The analysis identified six main research clusters in AI-related tourism literature: (1) service technologies including chatbots and service robots; (2) sentiment analysis and social media using deep learning; (3) machine learning applications in forecasting and revenue management; (4) AI and smart tourism integration; (5) virtual experiences and the metaverse; (6) AI in the sharing economy. These findings reflect the growing diversity of AI research in tourism, accompanied by increasing scholarly attention across a wide range of thematic areas.
Originality/value: This study offers a structured overview of AI research in tourism through bibliometric mapping of over 1,000 publications. By combining methodological and thematic insights, the study contributes to a clearer understanding of current trends and future research directions in the field.