IDEAS home Printed from https://ideas.repec.org/a/taf/tjisxx/v31y2022i4p525-545.html
   My bibliography  Save this article

Review credibility as a safeguard against fakery: the case of Amazon

Author

Listed:
  • Wael Jabr

Abstract

Online reviews remain a reliable source for customers when making purchase decisions. Yet, the pervasiveness of fake reviews jeopardises this reliability and questions the quality of this content. In this paper, we provide empirical evidence from a major online retailer that mitigation against fakery can be successful. To that end, we proposed, tested, and validated an approach, based on existing safeguards, to quantify the credibility of reviews and thus reliably reduce product uncertainty. We also showed that reviews with sufficient credibility signals were effective at influencing product sales, and this influence was prevalent for both niche and new products on the market. As such, this study offers a novel approach to mitigate the impact of fakery in reviews posted to online infomediaries. Our work focuses primarily on Amazon as a major retailer but also provides further support by drawing on Yelp, another major review platform.

Suggested Citation

  • Wael Jabr, 2022. "Review credibility as a safeguard against fakery: the case of Amazon," European Journal of Information Systems, Taylor & Francis Journals, vol. 31(4), pages 525-545, July.
    • Handle: RePEc:taf:tjisxx:v:31:y:2022:i:4:p:525-545
    DOI: 10.1080/0960085X.2021.1886613
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0960085X.2021.1886613
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0960085X.2021.1886613?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:taf:tjisxx:v:31:y:2022:i:4:p:525-545. 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/tjis .

    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.