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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Main Author:	Mahmoud Ali, Waleed Saeed Mahmoud
Format:	Thesis
Language:	English English
Published:	2023
Subjects:	H Social Sciences (General)
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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id	my-utem-ep.27702
record_format	uketd_dc
spelling	my-utem-ep.277022024-11-12T09:44:28Z Big data engineering and cloud computing adoption model in United Arab Emirates large business organizations 2023 Mahmoud Ali, Waleed Saeed Mahmoud H Social Sciences (General) HD Industries. Land use. Labor 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. 2023 Thesis http://eprints.utem.edu.my/id/eprint/27702/ 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 text en public 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 text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=123774 phd doctoral Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology Hasan Basari, Abd Samad
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Hasan Basari, Abd Samad
topic	H Social Sciences (General) H Social Sciences (General)
spellingShingle	H Social Sciences (General) H Social Sciences (General) Mahmoud Ali, Waleed Saeed Mahmoud Big data engineering and cloud computing adoption model in United Arab Emirates large business organizations
description	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.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Mahmoud Ali, Waleed Saeed Mahmoud
author_facet	Mahmoud Ali, Waleed Saeed Mahmoud
author_sort	Mahmoud Ali, Waleed Saeed Mahmoud
title	Big data engineering and cloud computing adoption model in United Arab Emirates large business organizations
title_short	Big data engineering and cloud computing adoption model in United Arab Emirates large business organizations
title_full	Big data engineering and cloud computing adoption model in United Arab Emirates large business organizations
title_fullStr	Big data engineering and cloud computing adoption model in United Arab Emirates large business organizations
title_full_unstemmed	Big data engineering and cloud computing adoption model in United Arab Emirates large business organizations
title_sort	big data engineering and cloud computing adoption model in united arab emirates large business organizations
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Information and Communication Technology
publishDate	2023
url	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
_version_	1818612049748426752

Big data engineering and cloud computing adoption model in United Arab Emirates large business organizations

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