Generative artificial intelligence for sustainable tourism: alleviating cognitive overload to foster well-being and eco-responsible behavior

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Authors: Lars Meyer‐Waarden, Julien Cloarec, Manon Ferreira
Cited by: 3
References: 73

Abstract

The rise of AI-driven technologies, particularly generative AI (GenAI) like ChatGPT, is transforming customer service in hospitality and tourism sectors. These systems enhance user experiences by offering real-time, personalized support and 24/7 assistance. Yet, as sustainability becomes a key factor in travel decisions, consumers increasingly face information overload due to the abundance of eco-friendly options. This study examines how GenAI can alleviate this cognitive strain in sustainability-focused tourism contexts. Across two experiments (i.e., one on trip planning and another on on-site shopping), the findings show that more advanced GenAI tools significantly reduce information overload, improving decision-making and thus enhancing user perceptions of trust which in turn trust increases both well-being and behavioral intentions to use GenAI tools. On the other hand, the reduction of perceived decision risk increases behavioral intentions to use GenAI tools. In particular, by simplifying access to and comparison of eco-certified travel and shopping options, GenAI encourages more environmentally responsible consumer behavior.

Fields of Study & Subjects

AI in Service Interactions Flow Experience in Various Fields Sharing Economy and Platforms

Publication details

Journal / source
Tourism Management
Publisher
Elsevier BV
Volume
117
Pages
105451–105451
Publication date
4 May 2026
Language
EN