Developing a framework of critical factors affecting the adoption of cloud computing in government systems (ACCE-GOV)

Al Mudawi, Naif, Beloff, Natalia and White, Martin (2021) Developing a framework of critical factors affecting the adoption of cloud computing in government systems (ACCE-GOV). Computing Conference 2021, London, UK | Virtual + Onsite, 15-16 July 2021. Published in: Computing Conference 2021. 1 520-538. Springer, Cham. ISBN 9783030801182

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Abstract

Many governments are investigating strategies for the adoption of cloud computing to improve service quality in e-government systems. The decision to adopt cloud computing for government systems without identifying and examining critical factors is a problem facing most e-government organizations in developing countries. This study has developed and examined a technology–organization–environment model with the addition of social context. The model (ACCE-GOV) investigates the influential factors that impact the adoption of cloud computing for Saudi e-government systems within Saudi government organisations. The study identifies 12 hypotheses that have been evaluated using structural equation modelling through regression analysis. Data was gathered, from 838 higher level managers and IT employees from Saudi government organisations. The analysed data provides rich insights into how attitude, trust, top management support, security, technology readiness and competitive pressure have a significant direct effect on the adoption of cloud computing. The findings imply that positive attitudes and trust in adopting cloud computing should be supported and encouraged by IT administrations through designing appropriate IT infrastructure environments to help the top management in government organisations adopt such cloud services. Further, this study suggests some recommendations for government organisations considering the adoption of cloud computing for e-government systems.

Item Type: Conference Proceedings
Schools and Departments: School of Engineering and Informatics > Informatics
Related URLs:
Depositing User: Naif Al Mudawi
Date Deposited: 11 Dec 2020 10:17
Last Modified: 04 Oct 2021 16:40
URI: http://sro.sussex.ac.uk/id/eprint/95590

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