Abstract

The rapid growth of the ageing population has increased the attention paid towards the provision of retirement village (RV). RV is a new form of housing on the ageing landscape that provides a full range of care from independent to assisted living to meet the diverse needs of the elderly. Numerous studies conducted in the past examined factors that influence elderly intention to relocate to the RV and the intention to adopt the smart home technology. The current study focused on the intention of elderly to relocate to the smart retirement village (SRV) (i.e., RV with the smart home technology). A customer-driven open innovation survey was conducted to solicit opinions from the elderlies. This paper applied the Theory of Planned Behavior to examine such intention among the elderly in Malaysia. The types of smart home technology preferred by the elderly at the SRV were determined. The results from the multiple regression analysis (N = 305) indicated that attitudes, social norm, and perceived behavioural control contributed significantly to the elderly intention to relocate to the SRV. Further investigation revealed that 83% of the elderly choose the smart emergency contact system as the most important smart home technology to be included.

Highlights

  • IntroductionIn the recent United Nations [1] report, globally in 2020, there were 727 million people aged 65 years and above, and the number of elderlies is projected to more than double, reaching over 1.5 billion by 2050

  • The results indicated that Hypothesis 1 elderly (H1), Hypothesis 2 (H2), and Hypothesis 3 (H3) are supported as all three variables are significant contributors towards intention to relocate

  • The first objective was to determine the types of smart home technology to be included in developing the smart retirement village (SRV) from the perspective of the Malaysian elderly; and the second objective was to examine the influence of attitude, subjective norm, and perceived behavioural control on the relocation intention of the elderly based on the Theory of Planned Behaviour (TPB) model

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Summary

Introduction

In the recent United Nations [1] report, globally in 2020, there were 727 million people aged 65 years and above, and the number of elderlies is projected to more than double, reaching over 1.5 billion by 2050. In Malaysia, it is expected that the nation is moving towards becoming an ageing society by the year 2030, as the older population will account for 15% of the overall population [2]. Ageing population is pervasive and has profound social, economic, and political implications. This phenomenon will bring attention towards the provision of more comprehensive long-term elderly care services that take into consideration the psychosocial well-being of the elderly as they age

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