Abstract
Recently, Cloud Computing Adoption (CCA) has overtaken Big Data Engineering (BDE) in most business environments. Large companies are embracing CCA through BDE. If CCA is to increase, it must move from weak technology to complex professional results. Based on the technological progressions and variations in the current business environment, it is important to study how BDE can affect CCA, as well as the wider consequences of BDE and CCA. To stay relevant in BDE, it is essential to have innovative results at every level of the business organization. The CCA impact model was developed using the Technology Acceptance Model (TAM), Technology Organization-Environment (TOE) and BDE factors. The CCA was enhanced by including variables related to BDE. Six independent variables were examined: usefulness, ease of use, security effectiveness, cost-effectiveness, intention to use Big Data technology, and need for Big Data technology. A sample size of 30 was used to collect data from large business organizations in the UAE. According to the study, Cloud Computing Adoption (CCA) is predicted and driven by perceived ease of use, perceived usefulness, security effectiveness, intention to use Big Data, and need to utilize Big Data technology and cannot be predicted by cost-effectiveness. Researchers found that the study's results can help managers decide whether to adopt cloud computing.
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Mahmoud Ali, W. S. M., Hasan Basari, A. S., Mohd Yusoh, Z. I., & Doheir, M. (2023). Pilot Study on the Adoption of Cloud Computing in UAE Large Business Organizations. International Journal of Engineering Trends and Technology, 71(3), 17–22. https://doi.org/10.14445/22315381/IJETT-V71I3P203
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