IDEAS home Printed from https://ideas.repec.org/a/mes/eaeuec/v61y2023i5p591-613.html
   My bibliography  Save this article

Utilitarian and Hedonic Motivation in E-Commerce Online Purchasing Intentions

Author

Listed:
  • Melinda Timea Fülöp
  • Dan Ioan Topor
  • Sorinel Căpușneanu
  • Constantin Aurelian Ionescu
  • Umair Akram

Abstract

This study uses the theory of social learning to investigate the relationship between hedonic and utilitarian motivation and e-commerce online shopping intentions. Based on a literature review, four hypotheses and eight sub-hypotheses are proposed. The study’s novelty derives from the study region and the implications of the COVID-19 pandemic. The results indicate a correlation between utilitarian and hedonic motivation and online shopping intentions, while information searching is a significant predictor of online purchase intentions. This paper contributes to both the academic and practical fields, and e-vendors can use it as a framework to manage website activity.

Suggested Citation

  • Melinda Timea Fülöp & Dan Ioan Topor & Sorinel Căpușneanu & Constantin Aurelian Ionescu & Umair Akram, 2023. "Utilitarian and Hedonic Motivation in E-Commerce Online Purchasing Intentions," Eastern European Economics, Taylor & Francis Journals, vol. 61(5), pages 591-613, September.
  • Handle: RePEc:mes:eaeuec:v:61:y:2023:i:5:p:591-613
    DOI: 10.1080/00128775.2023.2197878
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00128775.2023.2197878
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00128775.2023.2197878?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.

    More about this item

    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:mes:eaeuec:v:61:y:2023:i:5:p:591-613. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MEEE20 .

    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.