The Determinants of Cloud Computing Adoption in Healthcare

AlTwaijiry, Ahmad

doi:10.31219/osf.io/56d7b

Cited by 3 publications

References 13 publications

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A Multi-Criteria Decision-Making Framework to Evaluate the Impact of Industry 5.0 Technologies: Case Study, Lessons Learned, Challenges and Future Directions

Abdel-Basset,

Mohamed,

Chang

2024

Inf Syst Front

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Smart technologies have demonstrated striking outcomes regarding the early diagnosis of diseases and the delivery of the necessary healthcare in the last decade. However, by emphasizing the core fundamentals of social justice and sustainability, together with digitalization and smart technologies that predicate raising productivity and flexibility, Industry 5.0 has proven to achieve more efficient results. Industry 5.0 technologies provide more intelligent ways for human employees and higher efficiency development while also improving safety and performance in many applications. In this research, the contribution is focused on the healthcare and how Industry 5.0 technologies demonstrate several advantages for the healthcare sector, starting with automated and precise disease prediction, moving on to aiding medical personnel in continual surveillance and monitoring and concluding with successful digital automation of smart equipment. The objective of this study is to apply a hybrid multi-criteria decision-making approach under a neutrosophic environment to evaluate the advantages of industry 5.0 technologies in the healthcare sector. Industry 5.0 primary value is to reach human-centric, sustainable, and resilient industries. While Industry 5.0 technologies sub-values regarding the healthcare sector are determined and distinguished according to the 3-main values mentioned previously based on literature. The methodologies applied in this study are: The Analytical Hierarchy approach (AHP) evaluates the main values and sub-values. Subsequently, the effectiveness of industry 5.0 technologies according to their values to the healthcare sector are ranked by Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The approach is constructed under uncertainty based on a neutrosophic environment to achieve accuracy in the evaluation process. The results show that the most influential technology in healthcare are AI and cloud computing, while nano-technology, drone technology, and robots are at the end of the ranking. While validating the suggested technique, outcome comparisons were carried out to demonstrate the benefits of the methodologies. A sensitivity study indicates that adjusting the weightings of the sub-values has no significant effect on the ranking of technologies.

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A Multi-Criteria Decision-Making Framework to Evaluate the Impact of Industry 5.0 Technologies: Case Study, Lessons Learned, Challenges and Future Directions

Abdel-Basset,

Mohamed,

Chang

2024

Inf Syst Front

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Recent Challenges, Issues, and Initiatives for Cloud Computing Adoption in Healthcare: A Survey

Al-Tawara,

Khalifeh

2023

2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)

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Technological, Organizational, and Environmental Factors Influencing the Adopting of Cloud Computing: A Quantitative Study

Alkandi

2022

International Scientific Conference „Business and Management“

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The aim of this study is to identify the factors influencing the adoption of cloud computing. The Technology-Organization-Environment (TOE) Framework was utilized to analyze the organizational-level adoption of cloud technology using three contexts that might influence decision-makers to use such technology. A quantitative research approach was employed to analyze the hypothesis. Data was collected via a questionnaire-based survey involving 110 participants comprising mid-level managers and IT specialists from a public health organization. The inferential sta-tistical results show that among the three types of context, certain factors influenced decision makers to adopt cloud computing technology. These factors are relative advantage, compatibility of technology, management support, techno-logical readiness, and competition pressure. This research provides fruitful insight and contributes to the existing body of knowledge in the field of technology management, specifically cloud computing technology, and has research and practical implications.

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The Determinants of Cloud Computing Adoption in Healthcare

Cited by 3 publications

References 13 publications

A Multi-Criteria Decision-Making Framework to Evaluate the Impact of Industry 5.0 Technologies: Case Study, Lessons Learned, Challenges and Future Directions

A Multi-Criteria Decision-Making Framework to Evaluate the Impact of Industry 5.0 Technologies: Case Study, Lessons Learned, Challenges and Future Directions

Recent Challenges, Issues, and Initiatives for Cloud Computing Adoption in Healthcare: A Survey

Technological, Organizational, and Environmental Factors Influencing the Adopting of Cloud Computing: A Quantitative Study

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