Relocation Intention of the older people to a smart retirement village


Muhammad Noor Woon, Nur Hidayah Woon (2023) Relocation Intention of the older people to a smart retirement village. Masters thesis, Multimedia University.

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Demographic ageing or population ageing is a type of demographic event where there is growth in the number and proportion of older people in their population. It is one of the most crucial demographic events occurred in the 21st century. Currently, the health care system in Malaysia is focused on short-term care and hospitalization. Therefore, there is a crucial call to increase the facilities and infrastructure to address the needs of the older people in Malaysia, especially in Long-Term Care provision. In this study, smart retirement village is proposed as a provision for the older people in Malaysia. A smart retirement village can generally be defined as a community for the older people that provides a variety of accommodation, service, and facility to meet their unique requirements, with the inclusion of the smart home technologies. The research aims to examine the relocation intention of older people to a smart retirement village (SRV) in Malaysia based on the Theory of Planned Behavior, Technology Acceptance Model and the Five Factor Personality Model. In this research, the issues of population ageing, retirement villages globally and locally, and past studies related to the theories and five personality dimensions are reviewed. This research is based on quantitative findings. The questionnaire was distributed to the older people via WhatsApp and online method through purposive sampling. All of the collected data were analyzed by using Statistical Package for Social Sciences (SPSS) AND Smart-PLS software. From the data collection, 305 data were obtained, where 159 usable data were used in the analysis. Results from this study found support those three dimensions from the Five-Factor Personality which are conscientiousness, extraversion and openness to experience have a significant relationship with perceived ease of use. Moreover, perceived ease of use of the smart retirement village highly influences perceived usefulness of the smart retirement village. Importantly, perceived ease of use and perceived usefulness will affect the attitude of the older people towards the smart retirement village. Lastly, the result obtained from this study found out that all the variables from the Theory of Planned Behaviour which are attitude, subjective norm and perceived behavioural control directly influence the relocation intention of the older people to a smart retirement village. Although SRV is a relatively new type of provision in Malaysia, they have great potential to address main policy objectives around promoting independence, choice and quality of life for older people. Due to the scarcity of research regarding SRV in Malaysia, factors influencing the relocation intention of older people to a SRV are still under explored in Malaysia. The outcome of this study will certainly be of interest to all those engaged with commissioning and developing services for older people both in the public and private sectors. This research is expected to become a breakthrough in discovering the relocation intention among the older people to A Smart Retirement Village, whereby their opinions are often neglected. The findings will also determine whether the Smart Retirement Village have high demands in the market. It is expected that this research will assist to encourage more developers, government bodies and NGOs to perceive venturing into the smart retirement village industry. Further recommendations will be made based on the findings from this research.

Item Type: Thesis (Masters)
Additional Information: Call No.: HD7287.9 .N87 2023
Uncontrolled Keywords: Older people—Housing
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD4801-8943 Labor. Work. Working class > HD7260-7780.8 Industrial hygiene. Industrial welfare
Divisions: Faculty of Management (FOM)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 27 Nov 2023 05:24
Last Modified: 27 Nov 2023 05:24


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