Citation

Malarvizhi, Chinnasamy Agamudai Nambi and Subramaniam, Saranya Sree and Jayashree, Sreenivasan (2023) Analysing the Behaviour Intention of IOT Adoption Among Elderly NCD Patients in Malaysia. In: 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), 28-30 April 2023, Greater Noida, India.

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Abstract

The prevalence of non-communicable diseases among the Malaysian elderly population has sharply increased. NCDs are the leading cause of premature death among Malaysian elders. The main goal of this study is to investigate the value of developing IoT-enabled applications to monitor the health status of elderly patients with NCDs. For examining IoT adoption intention, this study developed a framework based on the theory of planned behaviour (TPB), the Value-Belief-Norm (VBN) theory (TAM), and Rogers' theory of the diffusion of innovations and the use of technology model. The quantitative technique will be applied to this study. SmartPLS will examine the links between the key variables and the behavioural intention to use IoT among elderly NCD patients for primary data. However, we will apply the unit root test, Johansen Cointegration test, VECM, and Granger Causality Test for secondary data to examine the correlation between the variables. This research will help older adults and healthcare practitioners understand the significance of IoT in healthcare. The findings of this study are expected to produce meaningful insights that could help IoT-based network operators, governments, and implementers to enhance awareness among the elderly community by highlighting the benefits of implementing IoT technology.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Technological innovation, Correlation, Sociology, Government, Medical services, Older adults, Monitoring
Subjects:	R Medicine > RA Public aspects of medicine
Divisions:	Faculty of Management (FOM)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	04 Sep 2023 06:40
Last Modified:	04 Sep 2023 06:40
URII:	http://shdl.mmu.edu.my/id/eprint/11665

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