IDEAS home Printed from https://ideas.repec.org/a/nms/untern/10.5771-0042-059x-2023-2-185.html
   My bibliography  Save this article

Acceptance of Automated Investment Advisory: An Experimental Study of the Relevance of Trust Attributes of a Robo-Advisor

Author

Listed:
  • Schütz, Tobias
  • Schröder, Cindy
  • Rennhak, Carsten

Abstract

The influence of trust on the adherence to investment recommendations in the context of robo-advisors is under-researched. This relationship needs to be better understood because robo-advice lacks a critical element of trust: human interaction. Theory suggests that ability, integrity, and benevolence are key factors in building trust in human advisors. Using an experimental study design, our research examines the relationship between a robo-advisor's trust attributes and the acceptance of its investment advice. The results show that trust in a robo-advisor increases the propensity to follow its recommendations. While ability and integrity are significant, benevolence is not. The study contributes to the research on technology acceptance, trust, and the adoption of technology-based recommendations by improving the understanding of the relationship between trust and the acceptance of automated investment recommendations.

Suggested Citation

  • Schütz, Tobias & Schröder, Cindy & Rennhak, Carsten, 2023. "Acceptance of Automated Investment Advisory: An Experimental Study of the Relevance of Trust Attributes of a Robo-Advisor," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 77(2), pages 185-201.
    • Handle: RePEc:nms:untern:10.5771/0042-059x-2023-2-185
    DOI: 10.5771/0042-059X-2023-2-185
    as

    Download full text from publisher

    File URL: https://www.nomos-elibrary.de/10.5771/0042-059X-2023-2-185
    Download Restriction: no
    File URL: https://libkey.io/10.5771/0042-059X-2023-2-185?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
    ---><---

    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:nms:untern:10.5771/0042-059x-2023-2-185. 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: Nomos Verlagsgesellschaft mbH & Co. KG (email available below). General contact details of provider: http://www.nomos.de/ .

    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.