IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v164y2023ics0148296323003168.html
   My bibliography  Save this article

How can brands encourage consumers to donate data to a data-driven social partnership? An examination of hedonic vs. functional categories

Author

Listed:
  • Loureiro, Sandra Maria Correia
  • Friedmann, Enav
  • Breazeale, Michael
  • Middendorf, Ivo

Abstract

Consumers’ willingness to donate personal data clearly benefits the marketers with whom they share it. Data-driven social partnerships allow marketers to leverage the data, serve the public good, personalize products for consumers, and boost profit. This paper focuses on better understanding what drives consumer data-donation to data-driven social partnerships, and ways that marketers can encourage consumers’ data-donation. Using a multi-method approach that includes a qualitative component – three focus groups – and two quantitative studies, we show that corporate reputation is linked to consumers’ desire to donate data via brand trust in the partnership for both functional and hedonic categories, however, hedonic categories can benefit even more from consumers’ perceptions of brand coolness that lead to brand trust in the partnership, displaying double mediation linking corporate reputation to consumers’ desire to donate data. Theoretical and managerial implications for these findings are discussed.

Suggested Citation

  • Loureiro, Sandra Maria Correia & Friedmann, Enav & Breazeale, Michael & Middendorf, Ivo, 2023. "How can brands encourage consumers to donate data to a data-driven social partnership? An examination of hedonic vs. functional categories," Journal of Business Research, Elsevier, vol. 164(C).
  • Handle: RePEc:eee:jbrese:v:164:y:2023:i:c:s0148296323003168
    DOI: 10.1016/j.jbusres.2023.113958
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296323003168
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2023.113958?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:jbrese:v:164:y:2023:i:c:s0148296323003168. 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: http://www.elsevier.com/locate/jbusres .

    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.