Reshaping Tourist Experience with AI-Enabled Technologies: A Comprehensive Review and Future Research Agenda

Abstract

This study consolidates the existing literature and develops a conceptual framework for a holistic understanding of the tourist experience with AI-enabled technologies. It entails performance analysis of scientific actors, thematic analysis, and content analysis of the intellectual structure of the research. The key technologies shaping the tourist experience include service robots, personalized recommender systems, IoT, chatbots, AR/VR, big data analytics, text mining, text analytics, and NLP. The study contributes by offering performance and science mapping in the field of AI for the tourist experience. Accordingly, several future research directions and a consolidated conceptual framework are proposed.

Keywords:

• Big data
• machine learning
• service robots
• artificial intelligence
• virtual reality
• tourist experience

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Rijul Chaturvedi

Rijul Chaturvedi is a doctoral researcher in the area of marketing at the National Institute of Industrial Engineering (NITIE), Mumbai, India.

Sanjeev Verma

Sanjeev Verma is presently working as Associate Professor (Marketing) at NITIE, Mumbai.

Faizan Ali

Faizan Ali is an associate professor in the School of Hospitality and Tourism Management, Muma College of Business, University of South Florida, USA.

Satish Kumar

Satish Kumar is a professor of Finance and Accounting in Indian Institute of Management Nagpur, Nagpur, India.