Assessing and prioritizing crucial drivers for CloudIoT-based healthcare adoption: an analytic hierarchy process approach
The CloudIoT paradigm has profoundly transformed the healthcare industry, providing outstanding innovation and practical applications. However, despite its many advantages, the adoption of this paradigm in healthcare settings remains limited. There is a lack of comprehensive understanding of the fac...
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| Format: | Article |
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Springer Science and Business Media LLC
2024
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| _version_ | 1825939343189999616 |
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| author | Altawaiha, Iyad Atan, Rodziah Yaakob, Razali Abdullah, Rusli |
| author_facet | Altawaiha, Iyad Atan, Rodziah Yaakob, Razali Abdullah, Rusli |
| author_sort | Altawaiha, Iyad |
| collection | UPM |
| description | The CloudIoT paradigm has profoundly transformed the healthcare industry, providing outstanding innovation and practical applications. However, despite its many advantages, the adoption of this paradigm in healthcare settings remains limited. There is a lack of comprehensive understanding of the factors that ensure successful implementation. To address this issue, we have used the Analytic Hierarchy Process to prioritize 26 factors that could potentially influence the adoption of CloudIoT-based healthcare. These factors were derived from existing literature and categorized into four main groups: personal-specific, technology-specific, environment-specific, and organization-specific factors. Our findings revealed that performance expectancy, trust, facilitating conditions, task complexity, and perceived security are the top five critical factors influencing CloudIoT-based healthcare adoption. Interestingly, our results indicated that environmental factors were less influential than those in the other categories, with personal, technological, and organizational factors dominating the top ten significant factors. The insights from this study can help policymakers, CloudIoT service providers, healthcare providers, designers, and developers better understand the factors contributing to the successful implementation of CloudIoT-based healthcare. This understanding can guide decision-making and inform the development of strategies to promote the broader adoption of this innovative technology. |
| first_indexed | 2024-09-25T03:39:13Z |
| format | Article |
| id | upm.eprints-106264 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-09-25T03:39:13Z |
| publishDate | 2024 |
| publisher | Springer Science and Business Media LLC |
| record_format | dspace |
| spelling | upm.eprints-1062642024-06-16T03:29:24Z http://psasir.upm.edu.my/id/eprint/106264/ Assessing and prioritizing crucial drivers for CloudIoT-based healthcare adoption: an analytic hierarchy process approach Altawaiha, Iyad Atan, Rodziah Yaakob, Razali Abdullah, Rusli The CloudIoT paradigm has profoundly transformed the healthcare industry, providing outstanding innovation and practical applications. However, despite its many advantages, the adoption of this paradigm in healthcare settings remains limited. There is a lack of comprehensive understanding of the factors that ensure successful implementation. To address this issue, we have used the Analytic Hierarchy Process to prioritize 26 factors that could potentially influence the adoption of CloudIoT-based healthcare. These factors were derived from existing literature and categorized into four main groups: personal-specific, technology-specific, environment-specific, and organization-specific factors. Our findings revealed that performance expectancy, trust, facilitating conditions, task complexity, and perceived security are the top five critical factors influencing CloudIoT-based healthcare adoption. Interestingly, our results indicated that environmental factors were less influential than those in the other categories, with personal, technological, and organizational factors dominating the top ten significant factors. The insights from this study can help policymakers, CloudIoT service providers, healthcare providers, designers, and developers better understand the factors contributing to the successful implementation of CloudIoT-based healthcare. This understanding can guide decision-making and inform the development of strategies to promote the broader adoption of this innovative technology. Springer Science and Business Media LLC 2024 Article PeerReviewed Altawaiha, Iyad and Atan, Rodziah and Yaakob, Razali and Abdullah, Rusli (2024) Assessing and prioritizing crucial drivers for CloudIoT-based healthcare adoption: an analytic hierarchy process approach. International Journal of Information Technology (Singapore). pp. 1-18. ISSN 2511-2104; ESSN: 2511-2112 (In Press) https://link.springer.com/article/10.1007/s41870-024-01742-z 10.1007/s41870-024-01742-z |
| spellingShingle | Altawaiha, Iyad Atan, Rodziah Yaakob, Razali Abdullah, Rusli Assessing and prioritizing crucial drivers for CloudIoT-based healthcare adoption: an analytic hierarchy process approach |
| title | Assessing and prioritizing crucial drivers for CloudIoT-based healthcare adoption: an analytic hierarchy process approach |
| title_full | Assessing and prioritizing crucial drivers for CloudIoT-based healthcare adoption: an analytic hierarchy process approach |
| title_fullStr | Assessing and prioritizing crucial drivers for CloudIoT-based healthcare adoption: an analytic hierarchy process approach |
| title_full_unstemmed | Assessing and prioritizing crucial drivers for CloudIoT-based healthcare adoption: an analytic hierarchy process approach |
| title_short | Assessing and prioritizing crucial drivers for CloudIoT-based healthcare adoption: an analytic hierarchy process approach |
| title_sort | assessing and prioritizing crucial drivers for cloudiot based healthcare adoption an analytic hierarchy process approach |
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