IDEAS home Printed from https://ideas.repec.org/a/taf/titdxx/v27y2021i4p645-669.html
   My bibliography  Save this article

Building users’ intention to participate in a sharing economy with institutional and calculative mechanisms: an empirical investigation of DiDi in China

Author

Listed:
  • Jinyuan Guo
  • Jiabao Lin
  • Lei Li

Abstract

Although trust is a key factor in overcoming uncertainty and mitigating risk in a sharing economy, we do not have a thorough understanding of how users' trust in service providers develops in this context. This study focuses on drivers enrolled in China’s DiDi platform as the research object and investigates the effects of institutional and calculative mechanisms on their trust and intention to participate in the sharing economy. The empirical results reveal that feedback mechanism, driver protection, and dispute resolution positively affect institution-based trust, and perceived risks and benefits are significantly related to calculative-based trust. Furthermore, institution based trust and calculative-based trust, in turn, promote the driver’s intention to participate in the sharing economy. The study also finds that both institution-based trust and calculative-based trust play mediating roles, and calculative-based trust is more important for drivers.

Suggested Citation

  • Jinyuan Guo & Jiabao Lin & Lei Li, 2021. "Building users’ intention to participate in a sharing economy with institutional and calculative mechanisms: an empirical investigation of DiDi in China," Information Technology for Development, Taylor & Francis Journals, vol. 27(4), pages 645-669, October.
  • Handle: RePEc:taf:titdxx:v:27:y:2021:i:4:p:645-669
    DOI: 10.1080/02681102.2020.1807894
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02681102.2020.1807894
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/02681102.2020.1807894?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chong Li & Yingqi Li, 2023. "Factors Influencing Public Risk Perception of Emerging Technologies: A Meta-Analysis," Sustainability, MDPI, vol. 15(5), pages 1-37, February.

    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:titdxx:v:27:y:2021:i:4:p:645-669. 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/titd20 .

    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.