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EN
Cloud computing technology has emerged as a crucial driver of success for Small and Medium Enterprises (SMEs) globally, accelerating work processes and optimizing operations. Notably, SMEs in developed nations, including the United States and the United Kingdom, have proactively harnessed Cloud computing services, reaping substantial benefits in operational efficiency and time utilization. However, in many developing countries, including Saudi Arabia, most SMEs continue to rely on traditional technology, such as On-Premises Servers, instead of Cloud computing services. To investigate the factors influencing Cloud adoption, a new empirical model, the Adoption of Cloud Computing Model for Saudi Arabian SMEs (ACCM-SME), was developed. This study collected quantitative data from 412 participants representing Saudi SMEs in Riyadh city. The empirical data analysis revealed that 12 out of the 17 tested hypotheses exhibited significant positive influence, while five hypotheses failed to meet the specified research criteria and were consequently rejected. This research underscores the critical need to accelerate Cloud technology adoption among SMEs in developing countries, particularly Saudi Arabia. Bridging this technology gap has the potential to significantly enhance SMEs' competitiveness and operational efficiency, contributing to overall economic development. The ACCM-SME model provides nuanced insights into the factors influencing Cloud adoption, guiding further research. The study's rejected hypotheses highlight areas requiring attention for successful adoption. Policymakers and business leaders can leverage these findings to formulate strategies that facilitate Cloud adoption among SMEs.
EN
Private hospitals aim to provide essential healthcare services while focusing on profit and income growth. They are turning to innovative solutions to enhance medical services efficiency while reducing costs. Cloud computing has arisen as an ideal option, allowing private hospitals to access advanced digital health services without heavy infrastructure investments. Yet, in Saudi private hospitals, the adoption of Cloud computing is remarkably low. Therefore, in this study, we surveyed 650 managers and administrative staff from Saudi private hospitals, using our previously proposed ACC-PH framework to assess factors influencing Cloud computing adoption from technological, organisational, and environmental perspectives. The data were analysed using IBM-SPSS and AMOSvr29. The results revealed the positive influence of 12 out of 13 examined factors. The findings are significant in guiding decision-makers in Saudi private hospitals to establish effective strategies for implementing Cloud computing. These strategies can enable easier adoption of Cloud computing in this essential industry.
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