IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05703102.html

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

Author

Listed:
  • Lars Meyer-Waarden

    (TSM - Toulouse School of Management Research - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - CNRS - Centre National de la Recherche Scientifique - TSM - Toulouse School of Management - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse)

  • Julien Cloarec

    (UJML - Université Jean Moulin - Lyon 3 - Université de Lyon)

  • Manon Ferreira

    (TSM - Toulouse School of Management Research - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - CNRS - Centre National de la Recherche Scientifique - TSM - Toulouse School of Management - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse)

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.

Suggested Citation

  • Lars Meyer-Waarden & Julien Cloarec & Manon Ferreira, 2026. "Generative artificial intelligence for sustainable tourism : alleviating cognitive overload to foster well-being and eco-responsible behavior," Post-Print hal-05703102, HAL.
    • Handle: RePEc:hal:journl:hal-05703102
    DOI: 10.1016/j.tourman.2026.105451
    Note: View the original document on HAL open archive server: https://hal.science/hal-05703102v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-05703102v1/document
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.tourman.2026.105451?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-05703102. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.