Behavior Intention of Chronic Illness Patients in Malaysia to Use IoT-based Healthcare Services
The Internet of Things (IoT) has emerged as a trend in the healthcare industry to develop innovative solutions that enhance patient outcomes and operational efficiency. Healthcare has become more accessible, affordable, and efficient to sensors, wearables, and health monitors. The healthcare industr...
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2024
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my.uniten.dspace-345482024-10-14T11:20:34Z Behavior Intention of Chronic Illness Patients in Malaysia to Use IoT-based Healthcare Services Jawad H.H.M. Hassan Z.B. Zaidan B.B. 58492475500 13607947600 35070872100 adoption adoption theories chronic disease Internet of things IoT Diseases Patient treatment Adoption Adoption theory Behavioral intention Chronic disease Chronic illness Healthcare industry Healthcare services Individual factors Malaysia Technological factors Internet of things The Internet of Things (IoT) has emerged as a trend in the healthcare industry to develop innovative solutions that enhance patient outcomes and operational efficiency. Healthcare has become more accessible, affordable, and efficient to sensors, wearables, and health monitors. The healthcare industry's adoption of the Internet of Things is lagging behind other sectors despite its many benefits. This study aims to investigate the extent to which chronic patients in Malaysia are using healthcare services made possible by the Internet of Things. To that end, this study proposes a unified framework to examine how these highlighted factors affect Behavioral Intention (BI) with regard to adopting IoT healthcare services. The innovation here is in bringing together three distinct theories: i) the Technology-Organization-Environment Framework (TOE), which is a framework for understanding how companies adopt new technologies ii) the Unified Theory of Acceptance and Use of Technology (UTAUT) and iii) the Social Exchange Theory (SE). Patients in Malaysia who are coping with long-term health issues were surveyed online. This study also employs SPSS and Smart Partial Least Square (Smart PLS) for data analysis. Eleven hypothesized predictive components have been investigated. The results showed that chronic illness patients' BI towards adopting IoT solutions was considerably impacted by both individual and technological factors and related aspects. The impact of BI on Use Behaviour (UB) also showed similar outcomes. Moreover, trust somewhat mediates the impact of both individual and technological factors on BI. The findings of this investigation will be beneficial to policymakers and suppliers of healthcare in that country. Additionally, the patients and their family members would gain benefits from the study due to the fact that the delivery of comprehensive treatment, especially in the field of chronic disease management, will be improved through IoT-healthcare services. The Internet of Things will also let medical staff function remotely and professionally. � 2023, International Journal of Advanced Computer Science and Applications. All Rights Reserved. Final 2024-10-14T03:20:34Z 2024-10-14T03:20:34Z 2023 Article 10.14569/IJACSA.2023.0140659 2-s2.0-85165124941 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165124941&doi=10.14569%2fIJACSA.2023.0140659&partnerID=40&md5=3cfd2e8aa55afaaca14a761279fe9cac https://irepository.uniten.edu.my/handle/123456789/34548 14 6 545 563 All Open Access Gold Open Access Science and Information Organization Scopus |
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adoption adoption theories chronic disease Internet of things IoT Diseases Patient treatment Adoption Adoption theory Behavioral intention Chronic disease Chronic illness Healthcare industry Healthcare services Individual factors Malaysia Technological factors Internet of things |
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adoption adoption theories chronic disease Internet of things IoT Diseases Patient treatment Adoption Adoption theory Behavioral intention Chronic disease Chronic illness Healthcare industry Healthcare services Individual factors Malaysia Technological factors Internet of things Jawad H.H.M. Hassan Z.B. Zaidan B.B. Behavior Intention of Chronic Illness Patients in Malaysia to Use IoT-based Healthcare Services |
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The Internet of Things (IoT) has emerged as a trend in the healthcare industry to develop innovative solutions that enhance patient outcomes and operational efficiency. Healthcare has become more accessible, affordable, and efficient to sensors, wearables, and health monitors. The healthcare industry's adoption of the Internet of Things is lagging behind other sectors despite its many benefits. This study aims to investigate the extent to which chronic patients in Malaysia are using healthcare services made possible by the Internet of Things. To that end, this study proposes a unified framework to examine how these highlighted factors affect Behavioral Intention (BI) with regard to adopting IoT healthcare services. The innovation here is in bringing together three distinct theories: i) the Technology-Organization-Environment Framework (TOE), which is a framework for understanding how companies adopt new technologies |
| author2 |
58492475500 |
| author_facet |
58492475500 Jawad H.H.M. Hassan Z.B. Zaidan B.B. |
| format |
Article |
| author |
Jawad H.H.M. Hassan Z.B. Zaidan B.B. |
| author_sort |
Jawad H.H.M. |
| title |
Behavior Intention of Chronic Illness Patients in Malaysia to Use IoT-based Healthcare Services |
| title_short |
Behavior Intention of Chronic Illness Patients in Malaysia to Use IoT-based Healthcare Services |
| title_full |
Behavior Intention of Chronic Illness Patients in Malaysia to Use IoT-based Healthcare Services |
| title_fullStr |
Behavior Intention of Chronic Illness Patients in Malaysia to Use IoT-based Healthcare Services |
| title_full_unstemmed |
Behavior Intention of Chronic Illness Patients in Malaysia to Use IoT-based Healthcare Services |
| title_sort |
behavior intention of chronic illness patients in malaysia to use iot-based healthcare services |
| publisher |
Science and Information Organization |
| publishDate |
2024 |
| _version_ |
1814061061040504832 |
| score |
13.222552 |