Smart Retirement Villages as Sustainable Housing Solutions: A TAM-Based Study of Elderly Intention to Relocate

Citation

Tan, Booi Chen and Lau, Teck Chai and D’Souza, Clare and Khan @ Thandar Oo, Nasreen and Tan, Wooi Haw and Ooi, Chee Pun and Pang, Suk Min (2025) Smart Retirement Villages as Sustainable Housing Solutions: A TAM-Based Study of Elderly Intention to Relocate. Buildings, 15 (15). p. 2768. ISSN 2075-5309

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Abstract

Globally, technologically integrated housing solutions are increasingly relevant in addressing the challenges of aging populations and sustainable urban development. Drawing on the Technology Acceptance Model (TAM), this research investigates how perceptions of usefulness, ease of use, and attitudes influence relocation intention to smart retirement villages (SRVs), while also examining any significant differences between the socio-demographic variables and such intention. A total of 305 individuals aged 55 and above participated in an online survey, with data analyzed using IBM SPSS Statistics version 27 and AMOS-SEM version 25. The findings reveal that elderly individuals of Chinese ethnicity, those who are married, and those aged between 66 and 70 are more inclined to relocate to SRVs. Attitude and perceived usefulness significantly predict relocation intention, while perceived ease of use exerts an indirect effect through usefulness. These results highlight the importance of integrating user-centered technological design with socio-cultural and demographic considerations in the development of age-friendly built environments. The study offers insights for urban planners, policymakers, and developers seeking to create inclusive and sustainable smart housing solutions for aging populations.

Item Type: Article
Uncontrolled Keywords: Smart home
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics > TK7871 Electronics--Materials
Divisions: Faculty of Engineering (FOE)
Faculty of Management (FOM)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 27 Aug 2025 06:28
Last Modified: 27 Aug 2025 06:28
URII: http://shdl.mmu.edu.my/id/eprint/14481

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