IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v78y2024ics0160791x2400191x.html
   My bibliography  Save this article

Determinants of artificial intelligence-assisted diagnostic system adoption intention: A behavioral reasoning theory perspective

Author

Listed:
  • Li, Weixia
  • Wang, Jianguo

Abstract

Artificial intelligence-assisted diagnostic systems (AIADS) signify a significant medical revolution, reducing environmental burdens and enabling AI-based medical services to catalyze sustainability-oriented positive change. Because users demonstrate almost contradictory attitudes or resistance to adopting medical information provided by AIADS, controversy persists regarding the use of the technology. Based on behavioral reasoning theory (BRT), this study adds empirical insights into the significant influence of users' values (openness to change) toward reasons (for and against) and their intentions to adopt AIADS from the perspective of behavioral reasoning. A scenario questionnaire survey of 604 Chinese users demonstrated that openness to change significantly impacts users' attitudes and reasons (for and against) adopting AIADS. A dual pathway explains the reasons for and against adopting AIADS. The findings contribute to BRT's application in AI-assisted medical service and provide implications to practitioners that will increase users' adoption of AIADS.

Suggested Citation

  • Li, Weixia & Wang, Jianguo, 2024. "Determinants of artificial intelligence-assisted diagnostic system adoption intention: A behavioral reasoning theory perspective," Technology in Society, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:teinso:v:78:y:2024:i:c:s0160791x2400191x
    DOI: 10.1016/j.techsoc.2024.102643
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X2400191X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2024.102643?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:teinso:v:78:y:2024:i:c:s0160791x2400191x. 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: https://www.journals.elsevier.com/technology-in-society .

    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.