IDEAS home Printed from https://ideas.repec.org/a/pal/abaman/v24y2025i3d10.1057_s41291-025-00302-y.html
   My bibliography  Save this article

Exploring the role of innovation diffusion and trust transfer on technology acceptance: intention to use drone delivery service in China

Author

Listed:
  • Yanghee Kim

    (Sungkonghoe University
    Hanyang University)

  • Leishuo Wang

    (Soonchunhyang University)

  • Jinho Noh

    (Soonchunhyang University)

  • Taewoo Roh

    (Hanyang University)

Abstract

This study introduces an innovative theoretical framework that intertwines the diffusion of innovations (DOI) theory, the technology acceptance model (TAM), and the trust transfer theory (TTT) to elucidate the user acceptance of drone delivery services. The study examines the paramount role of delivery speed and stability as innovative attributes in mitigating perceived risks and addressing privacy concerns. Based on 237 valid responses, we verified the hypothesis using structural equation modeling. A pivotal finding is how trust dynamics serve as a mediator between the attributes of innovation and the perceptions of usefulness and ease of use. Moreover, the results underscore the profound influence of both perceived usefulness (PU) and perceived ease of use (PEU) on the users’ inclination to embrace such services. For enterprises venturing into this domain, accentuating the aspects of speed, stability, and rigorous privacy protocols can enhance user acceptance.

Suggested Citation

  • Yanghee Kim & Leishuo Wang & Jinho Noh & Taewoo Roh, 2025. "Exploring the role of innovation diffusion and trust transfer on technology acceptance: intention to use drone delivery service in China," Asian Business & Management, Palgrave Macmillan, vol. 24(3), pages 357-384, July.
  • Handle: RePEc:pal:abaman:v:24:y:2025:i:3:d:10.1057_s41291-025-00302-y
    DOI: 10.1057/s41291-025-00302-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41291-025-00302-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/s41291-025-00302-y?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:pal:abaman:v:24:y:2025:i:3:d:10.1057_s41291-025-00302-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.com .

    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.