Adoption of IoT Technology among Elderly NCD Patients in Malaysia: A Conceptual Study Based on the Theory of Planned Behaviour
Non-Communicable diseases (NCDs) are rising as the prime cause of death worldwide as well as in Malaysia. This is the result of evolutions occurring in social and economic factors in health. Some of these factors include a proliferation of business and promotion, improved style of living, change in...
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International Association of Online Engineering (IAOE)
2021
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oai:doaj.org-article:523df8ece77245da903f1b48abd0ac382021-11-30T07:59:33ZAdoption of IoT Technology among Elderly NCD Patients in Malaysia: A Conceptual Study Based on the Theory of Planned Behaviour10.3991/ijoe.v17i12.252492626-8493https://doaj.org/article/523df8ece77245da903f1b48abd0ac382021-11-01T00:00:00Zhttps://www.online-journals.org/index.php/i-joe/article/view/25249https://doaj.org/toc/2626-8493Non-Communicable diseases (NCDs) are rising as the prime cause of death worldwide as well as in Malaysia. This is the result of evolutions occurring in social and economic factors in health. Some of these factors include a proliferation of business and promotion, improved style of living, change in socio-demographics, enhanced financial affordability, effortless travel and mobility, financial evolution, and import-export of unhealthy goods, causing high-risk behavioural deviations and spike metabolic hazards. Elderly people have a high chance of having NCDs because of poor sickness opposition, the impact of progressing lifestyle, terrible eating routine, and reduced amount of physical activities. At the end of the year 2020, individuals matured by 60 years of age and above in Malaysia are anticipated to be 9.7% of the entire populace. With the arrival of numerous wearable gadgets and smart devices, the IoT (Internet of Things) gadgets are transforming the conventional medical management system into a further customised and smart one. Therefore, the objective of this study is to identify the factors that influence the actual behaviour towards IoT adoption based on the underlying concept of the “theory of planned behaviour”. This study is expected to provide meaningful outcomes in creating awareness of the use of IoT among elderly NCD patients in Malaysia and understanding their behavioural intentions and actual behaviour that can help to maximise the utilisation of the available healthcare resources. Chinnasamy Nambi Agamudai MalarvizhiShamima Raihan ManzoorSreenivasan JayashreeInternational Association of Online Engineering (IAOE)articleNon-Communicable DiseaseInternet of ThingsMalaysiaElderly PeopleTheo-ry of Planned BehaviourComputer applications to medicine. Medical informaticsR858-859.7ENInternational Journal of Online and Biomedical Engineering, Vol 17, Iss 12 (2021) |
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Non-Communicable Disease Internet of Things Malaysia Elderly People Theo-ry of Planned Behaviour Computer applications to medicine. Medical informatics R858-859.7 |
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Non-Communicable Disease Internet of Things Malaysia Elderly People Theo-ry of Planned Behaviour Computer applications to medicine. Medical informatics R858-859.7 Chinnasamy Nambi Agamudai Malarvizhi Shamima Raihan Manzoor Sreenivasan Jayashree Adoption of IoT Technology among Elderly NCD Patients in Malaysia: A Conceptual Study Based on the Theory of Planned Behaviour |
description |
Non-Communicable diseases (NCDs) are rising as the prime cause of death worldwide as well as in Malaysia. This is the result of evolutions occurring in social and economic factors in health. Some of these factors include a proliferation of business and promotion, improved style of living, change in socio-demographics, enhanced financial affordability, effortless travel and mobility, financial evolution, and import-export of unhealthy goods, causing high-risk behavioural deviations and spike metabolic hazards. Elderly people have a high chance of having NCDs because of poor sickness opposition, the impact of progressing lifestyle, terrible eating routine, and reduced amount of physical activities. At the end of the year 2020, individuals matured by 60 years of age and above in Malaysia are anticipated to be 9.7% of the entire populace. With the arrival of numerous wearable gadgets and smart devices, the IoT (Internet of Things) gadgets are transforming the conventional medical management system into a further customised and smart one. Therefore, the objective of this study is to identify the factors that influence the actual behaviour towards IoT adoption based on the underlying concept of the “theory of planned behaviour”. This study is expected to provide meaningful outcomes in creating awareness of the use of IoT among elderly NCD patients in Malaysia and understanding their behavioural intentions and actual behaviour that can help to maximise the utilisation of the available healthcare resources.
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format |
article |
author |
Chinnasamy Nambi Agamudai Malarvizhi Shamima Raihan Manzoor Sreenivasan Jayashree |
author_facet |
Chinnasamy Nambi Agamudai Malarvizhi Shamima Raihan Manzoor Sreenivasan Jayashree |
author_sort |
Chinnasamy Nambi Agamudai Malarvizhi |
title |
Adoption of IoT Technology among Elderly NCD Patients in Malaysia: A Conceptual Study Based on the Theory of Planned Behaviour |
title_short |
Adoption of IoT Technology among Elderly NCD Patients in Malaysia: A Conceptual Study Based on the Theory of Planned Behaviour |
title_full |
Adoption of IoT Technology among Elderly NCD Patients in Malaysia: A Conceptual Study Based on the Theory of Planned Behaviour |
title_fullStr |
Adoption of IoT Technology among Elderly NCD Patients in Malaysia: A Conceptual Study Based on the Theory of Planned Behaviour |
title_full_unstemmed |
Adoption of IoT Technology among Elderly NCD Patients in Malaysia: A Conceptual Study Based on the Theory of Planned Behaviour |
title_sort |
adoption of iot technology among elderly ncd patients in malaysia: a conceptual study based on the theory of planned behaviour |
publisher |
International Association of Online Engineering (IAOE) |
publishDate |
2021 |
url |
https://doaj.org/article/523df8ece77245da903f1b48abd0ac38 |
work_keys_str_mv |
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