IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v76y2024ics0969698923003405.html
   My bibliography  Save this article

SIoT robots and consumer experiences in retail: Unpacking repeat purchase intention drivers leveraging computers are social actors (CASA) paradigm

Author

Listed:
  • de Kervenoael, Ronan
  • Schwob, Alexandre
  • Hasan, Rajibul
  • Psylla, Evangelia

Abstract

This study contributes to knowledge on the so far limited understanding of how to manage collaboration between Social Internet of Things (SIoT) service robots and consumers in the retail context. Embedded in Computers Are Social Actors (CASA) paradigm, we leverage a Partial Least Approach - Structural Equation Modelling (PLS-SEM) (n = 356) to show that word of mouth, consumer promotion experience, relationship quality, and inspiration significantly impact consumers’ repeat purchase intention when SIoT robots are used. Noticeably, while relationship quality is significant, it has a negative coefficient indicating that consumers may have high pre-existing anxiety towards SIoT service robots.

Suggested Citation

  • de Kervenoael, Ronan & Schwob, Alexandre & Hasan, Rajibul & Psylla, Evangelia, 2024. "SIoT robots and consumer experiences in retail: Unpacking repeat purchase intention drivers leveraging computers are social actors (CASA) paradigm," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    • Handle: RePEc:eee:joreco:v:76:y:2024:i:c:s0969698923003405
    DOI: 10.1016/j.jretconser.2023.103589
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698923003405
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretconser.2023.103589?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:joreco:v:76:y:2024:i:c:s0969698923003405. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    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.