IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v40y2021i4p337-360.html
   My bibliography  Save this article

Carer’s perception on social assistive technology acceptance and adoption: moderating effects of perceived risks

Author

Listed:
  • Seyed Mohammad Sadegh Khaksar
  • Rajiv Khosla
  • Stephen Singaraju
  • Bret Slade

Abstract

This research focuses on the adoption and acceptance of social assistive technologies (ATs) in the aged care context where carers provide care services to older adults. This research develops and validates a conceptual model adapted from existing technology acceptance and adoption models and theories. The moderating effects of perceived risk were also investigated to indicate how carers adopt and accept social ATs in aged care facilities. This research was undertaken using a mixed methods study combining a qualitative approach (Study 1: carer observations, focus groups and interviews) and a quantitative approach (Study 2: structural equation modelling). We observed 13 carers over 2 years using social ATs and carried out three focus groups and 15 interviews with carers. A quantitative survey was then distributed among 302 carers in Australia to collect quantitative data. Less attention was paid to the adoption of social ATs in aged care. This research provides empirical evidence showing how social robots as social ATs can facilitate technological innovation acceptance and adoption within aged care from the perspective of carers.

Suggested Citation

  • Seyed Mohammad Sadegh Khaksar & Rajiv Khosla & Stephen Singaraju & Bret Slade, 2021. "Carer’s perception on social assistive technology acceptance and adoption: moderating effects of perceived risks," Behaviour and Information Technology, Taylor & Francis Journals, vol. 40(4), pages 337-360, March.
    • Handle: RePEc:taf:tbitxx:v:40:y:2021:i:4:p:337-360
    DOI: 10.1080/0144929X.2019.1690046
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2019.1690046
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0144929X.2019.1690046?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. Yao, Qi & Hu, Chao & Zhou, Wenkai, 2024. "The impact of customer privacy concerns on service robot adoption intentions: A credence/experience service typology perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

    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:tbitxx:v:40:y:2021:i:4:p:337-360. 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/tbit .

    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.