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

UTAUT acceptance and adoption models australian seniors smart home technology

Journal

Informatics for health & social care
ISSN: 1753-8165
Titre abrégé: Inform Health Soc Care
Pays: England
ID NLM: 101475011

Informations de publication

Date de publication:
02 Jan 2023
Historique:
pubmed: 28 4 2022
medline: 17 2 2023
entrez: 27 4 2022
Statut: ppublish

Résumé

Smart Home Technology presents an exciting opportunity to support seniors living independently in their homes. Despite widespread interest in Smart Homes, seniors' readiness to adopt Smart Home Technology is low. To determine the factors underpinning Australian seniors' acceptance and adoption of Smart Home Technology using an extended UTAUT model that includes Trust, Resistance to Change and Technology Anxiety. A longitudinal study was conducted to validate the proposed model prior to and after the implementation of a pilot Smart Home Modification program for seniors. Structural Equation Modeling has been applied to test the proposed hypotheses using a sample of 60 seniors in regional Australia. Perceived Usefulness is an important predictor of Smart Home Technology adoption by seniors. Trust was found to indirectly predict adoption of Smart Home Technology via Perceived Usefulness. This study showed that Perceived Usefulness and Trust are critical factors for the acceptance and use of SHT by seniors, validating the extension of UTAUT with a Trust factor. This makes a unique theoretical contribution to the literature with implications for aged care providers and policymakers to consider seniors' perceived usefulness and trust in the design, development, and implementation of Smart Home solutions.

Identifiants

pubmed: 35473463
doi: 10.1080/17538157.2022.2069028
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

80-94

Auteurs

Golam Sorwar (G)

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

Christina Aggar (C)

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

Olivia Penman (O)

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

Carolyn Seton (C)

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

Anastasia Ward (A)

Southern Cross University, School of Health and Human Sciences, Coolangatta, Queensland, Australia.
Feros Care Ltd, Coolangatta, Queensland, Australia.

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Classifications MeSH