Factors that predict the acceptance and adoption of smart home technology by seniors in Australia: a structural equation model with longitudinal data-Reference-Cited by-同舟云学术

Factors that predict the acceptance and adoption of smart home technology by seniors in Australia: a structural equation model with longitudinal data

Published:2022-04-26 Issue:1 Volume:48 Page:80-94
ISSN:1753-8157
Container-title:Informatics for Health and Social Care
language:en
Short-container-title:Informatics for Health and Social Care

Author:

Sorwar Golam¹^ORCID,Aggar Christina²^ORCID,Penman Olivia²^ORCID,Seton Carolyn¹^ORCID,Ward Anastasia²³

Affiliation:

1. Southern Cross University, School of Science and Engineering, Coolangatta, Queensland, Australia

2. Southern Cross University, School of Health and Human Sciences, Coolangatta, Queensland, Australia

3. Feros Care Ltd, Coolangatta, Queensland, Australia

Funder

Feros Care, project code 51932

Publisher

Informa UK Limited

Subject

Health Information Management,Nursing (miscellaneous),Health Informatics

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538157.2022.2069028

Reference68 articles.

1. Morris M, Ozanne E, Miller K, Santamaria N, Pearce A, Said C, Adair B. Smart technologies to promote health and wellbeing of older Australians living at home. Report to institute for a broadband enabled society (IBES). Melbourne (Australia); 2012.

3. Workforce Crisis in Residential Aged Care: Insights from Rural, Older Workers

4. Preferences and Predictors of Aging in Place: Longitudinal Evidence from Melbourne, Australia

5. Smart homes and their users: a systematic analysis and key challenges

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