Date of Award
5-2024
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical Engineering and Computer Science
First Advisor
Khaled Slhoub
Second Advisor
Marius C. Silaghi
Third Advisor
Neji Mensi
Fourth Advisor
Brian Lail
Abstract
Blockchain technology can potentially address security and privacy issues concerning the collection, storage, and sharing of healthcare data. However, its adoption within the healthcare sector is nascent in Saudi Arabia. This underutilization prompted our investigation into the determinants influencing blockchain adoption, intending to fully empower the Saudi healthcare sector to leverage blockchain capabilities. To achieve this, an extensive literature review was conducted to identify the pivotal factors encompassing technology, organization, and environment (TOE) that affect the successful implementation of blockchain technologies in managing healthcare data within the Saudi context. Utilizing the TOE framework, this study formulated three hypotheses concerning the adoption of blockchain technology. Subsequently, a quantitative analysis was undertaken through an online survey distributed among healthcare organizations in Saudi Arabia. We obtained responses from 129 valid questionnaires and employed a partial least squares structural equation model (PLS-SEM) for analysis and hypothesis testing. The results show that technological and organizational factors significantly influence the adoption of blockchains, whereas environmental factors have no significance. This study contributes significantly to bridging a critical gap in the academic literature by clarifying the factors influencing blockchain adoption in healthcare data management in Saudi Arabia. Our findings serve as valuable guidelines for decision-makers contemplating the adoption of blockchain technology in healthcare data management, thus facilitating the effective navigation of associated challenges.
Recommended Citation
Alkhalifah, Noura Mohammad, "Investigating Factors Influencing Blockchain Adoption in Saudi Healthcare Data Management" (2024). Theses and Dissertations. 1454.
https://repository.fit.edu/etd/1454
Comments
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