Cloud computing in government organizations: towards a new comprehensive model

Al Mudawi, Naif, Beloff, Natalia and White, Martin (2019) Cloud computing in government organizations: towards a new comprehensive model. 2019 IEEE Smart World Congress, Leicester, UK, 19-23 August 2019. Published in: The 5th IEEE Smart World Congress. Institute of Electrical and Electronics Engineers (Accepted)

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Abstract

Cloud computing is a new information technology paradigm, one which has been adopted in many different sectors. Many developing countries are working on improving e-government to provide services to their citizens that are integrated and effective. Therefore, the Saudi government has made improving e-government a high priority. The aim of this study is to explore significant factors affecting the adoption of cloud computing in e-government services in Saudi Arabia as a case study. After identifying these factors, we propose a new comprehensive model for the Adoption of Cloud Computing in Saudi G-GOVernment (ACCE-GOV) that has been adopted from the Technology Organisation Environment (TOE) framework and the Diffusion of Innovations (DOI) theory. This research model examines factors of technological context (compatibility, complexity, service quality, security, and relative advantages), organisational context (top management support, organisation size, and technology readiness), environmental context (regulations and competitive pressures), and social context (awareness, trust, and attitude) in regard to the adoption of cloud computing. Ultimately, this study enhances the decision-making of the Saudi government through understanding and highlighting the most important factors that influence the adoption of cloud computing in an e-government context. This is a position paper, reporting on the work in progress. The findings of this study will be useful for the researchers who considers suitability of different methodological approaches for cloud computing adoption and evaluation.

Item Type: Conference Proceedings
Schools and Departments: School of Engineering and Informatics > Informatics
Research Centres and Groups: Centre for Cognitive Science
Subjects: A General Works
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Depositing User: Naif Al Mudawi
Date Deposited: 15 Aug 2019 09:15
Last Modified: 15 Aug 2019 09:15
URI: http://sro.sussex.ac.uk/id/eprint/85463

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