IDEAS home Printed from https://ideas.repec.org/a/aic/saebjn/v72y2025i3p489-517n4.html

eWOM vs. aWOM: AI Powered Word of Mouth and its Impact on Consumer Decision Making in Tourism

Author

Listed:
  • Ștefania-Mădălina Sâsâeac

    (Faculty of Economics and Business Administration, "Alexandru Ioan Cuza" University of Iași, Iași)

  • Patricea Elena Bertea

    (Faculty of Economics and Business Administration, "Alexandru Ioan Cuza" University of Iași, Iași)

  • Alexandra Raluca Jelea

    (Faculty of Economics and Business Administration, "Alexandru Ioan Cuza" University of Iași, Iași)

  • Adriana Manolică

    (Faculty of Economics and Business Administration, "Alexandru Ioan Cuza" University of Iași, Iași)

  • Cristina Teodora Roman

    (Faculty of Economics and Business Administration, "Alexandru Ioan Cuza" University of Iași, Iași)

Abstract

This paper explores the impact of artificial intelligence (AI) on consumer behaviour in the online tourism industry, focusing on two types of Word of Mouth (WOM): electronic Word of Mouth (eWOM) and Algorithmic Word of Mouth (aWOM). While eWOM, driven by consumer-generated content on platforms like TripAdvisor, influences travel decisions, aWOM uses AI to provide personalized recommendations based on data analysis. Despite its potential for greater personalization, aWOM raises concerns about transparency and authenticity. The study, using in-depth interviews and a focus group, reveals a general preference for eWOM due to its perceived authenticity, with participants valuing credible, detailed reviews. The findings suggest that aWOM can complement eWOM but should be used cautiously in the tourism industry to maintain trust and transparency.

Suggested Citation

  • Ștefania-Mădălina Sâsâeac & Patricea Elena Bertea & Alexandra Raluca Jelea & Adriana Manolică & Cristina Teodora Roman, 2025. "eWOM vs. aWOM: AI Powered Word of Mouth and its Impact on Consumer Decision Making in Tourism," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 72(3), pages 489-517, September.
  • Handle: RePEc:aic:saebjn:v:72:y:2025:i:3:p:489-517:n:4
    DOI: 10.47743/saeb-2025-0026
    as

    Download full text from publisher

    File URL: https://saeb.feaa.uaic.ro/index.php/saeb/article/view/3250
    Download Restriction: no

    File URL: https://libkey.io/10.47743/saeb-2025-0026?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

    ;
    ;
    ;
    ;
    ;
    ;

    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:aic:saebjn:v:72:y:2025:i:3:p:489-517:n:4. 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: Sireteanu Napoleon-Alexandru (email available below). General contact details of provider: https://edirc.repec.org/data/feaicro.html .

    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.