Maswadi, Kholoud and Abdul Ghani, Norjihan and Hamid, Suraya (2022) Factors influencing the elderly's behavioural intention to use smart home technologies in Saudi Arabia. PLoS ONE, 17 (8). ISSN 1932-6203, DOI https://doi.org/10.1371/journal.pone.0272525.
Full text not available from this repository.Abstract
In recent years, smart home technologies have offered opportunities for elderly people to manage their daily health-related activities. Despite the advancement in smart home technology (SHT), the level of end-user acceptance among elderly people is still low. This study proposes an SHT framework by examining the determinants of elderly behavioural intention (BI) to use smart home technologies by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This study uses the quantitative approach to survey about 486 elderly people in Saudi Arabia, and it applies the Partial Least Square Structural Equation Model (PLS-SEM) technique to perform the data analysis. Findings reveal that culture influence and technology awareness are significant factors in determining the BI to use SHT among elderly people. The study also finds that attitude mediates the relationships between performance expectancy, effort expectancy, and behavioural intention. We find that region and education moderate the relationships between culture influence, technology awareness, and behavioural intention. This study theoretically extends the UTAUT theory by including external constructs: culture influence, technology awareness, attitude, education, and region.
| Item Type: | Article |
|---|---|
| Funders: | IIRG006D-19SAH Impact Oriented Interdisciplinary Research Grant Programme of the University of Malaya, Ministry of Education, Malaysia |
| Uncontrolled Keywords: | Information-technology; Automotive industry; Older-adults; Adoption; Acceptance internet; Perspective; Models |
| Subjects: | H Social Sciences > HQ The family. Marriage. Woman T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Information Science |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 25 Oct 2023 09:21 |
| Last Modified: | 25 Oct 2023 09:21 |
| URI: | http://eprints.um.edu.my/id/eprint/40519 |
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