Big data engineering and cloud computing adoption model in United Arab Emirates large business organizations
The adoption of cloud computing and Big Data Engineering (BDE) in large business organizations in the United Arab Emirates (UAE) can bring numerous benefits, including increased efficiency, flexibility, and scalability of computing resources. Many researchers have proposed that BDE can drive Clou...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/27702/1/Big%20data%20engineering%20and%20cloud%20computing%20adoption%20model%20in%20United%20Arab%20Emirates%20large%20business%20organizations.pdf http://eprints.utem.edu.my/id/eprint/27702/2/Big%20data%20engineering%20and%20cloud%20computing%20adoption%20model%20in%20United%20Arab%20Emirates%20large%20business%20organizations.pdf |
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| Summary: | The adoption of cloud computing and Big Data Engineering (BDE) in large business
organizations in the United Arab Emirates (UAE) can bring numerous benefits, including
increased efficiency, flexibility, and scalability of computing resources. Many researchers
have proposed that BDE can drive Cloud Computing Adoption (CCA). However, there is a
need for more empirical research to determine the extent to which BDE drives CCA in
practice. This research could help organizations better understand the relationship between
these technologies and develop more effective strategies for adoption. Despite the potential
benefits of BDE and CCA in large business entities in the UAE, there is a lack of research
or studies on the topic. This has resulted in a limited representation of the adoption of these
technologies in UAE. As a result, it is important for organizations to carefully evaluate their
readiness for adoption, develop a clear strategy, and seek guidance from experienced service
providers. Since developing technologies have strong ties to CCA and BDE, CCA has taken
place in both hypothetical and business situations. Due to the technological advancements
and changes in the current business landscape, it is important to examine how BDE can affect
CCA and its implications. In order to stay relevant in BDE, business organizations must
produce advanced results at every level of their organization. The CCA impact model was
developed using BDE factors and two widely established models namely the Technology
Acceptance Model (TAM) and Technology Organization-Environment (TOE). The CCA
was extended by including variables related to BDE. Six independent variables were
examined: usefulness, ease of use, security effectiveness, cost-effectiveness, intention to use
and need for Big Data technology. A sample size of 250 was used to collect data from large
business organizations in the UAE. After data cleaning and removing missing values, the
sample size was 204. The data were analyzed using binary logistic regression. In the current
business climate, it is important to examine BDE’s impact on CCA, as well as the longerterm
implications of BDE and CCA on organizations. BDE requires organizations to produce
advanced results at every level of their organization. Based on the findings, CCA is predicted
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.
The model correctly predicts whether the participant companies would use cloud computing
90.6% of the time and explained 9.4% of the variance in cloud computing adoption. The
results of the study are believed can help managers decide whether to adopt cloud computing. |
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