IDEAS home Printed from https://ideas.repec.org/a/ids/ijemre/v17y2026i1p39-55.html

Personalisation and the purchase intention of consumer in omnichannel retailing: the mediating role of hedonic motivation and brand attachment

Author

Listed:
  • Rachit Shrivastava
  • Sujit Kumar Dubey

Abstract

Personalisation is readily approaching the marketing domain through the fast-paced advancement of Big data analytics, the internet of things (IoT), artificial intelligence (AI), and machine learning (ML). The growing body of literature on the subject has examined the context of personalisation in online or offline retailing. Therefore, the present research work pressed the need to study it on both online and offline retailing channels, i.e., an omnichannel form of retailing. The study's objective is to check the impact of personalisation on the customer's purchase intention in the omnichannel retail setting. Moreover, the study inscribes hedonic motivation and brand attachment as the mediating constructs in the proposed conceptual model. The study conducted an empirical analysis with 409 customers in a major metropolitan city in India and used PLS.SEM technique to analyse the data. The finding of the study concluded with the positive impact of personalisation on the customer's purchase intention. The present study proposed the future scope of the subject by suggesting the need to study personalisation on the specific touchpoints of omnichannel retailing in different geographical locations.

Suggested Citation

  • Rachit Shrivastava & Sujit Kumar Dubey, 2026. "Personalisation and the purchase intention of consumer in omnichannel retailing: the mediating role of hedonic motivation and brand attachment," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 17(1), pages 39-55.
  • Handle: RePEc:ids:ijemre:v:17:y:2026:i:1:p:39-55
    as

    Download full text from publisher

    File URL: https://www.inderscience.com/link.php?id=150310
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    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:ids:ijemre:v:17:y:2026:i:1:p:39-55. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=43 .

    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.