The Role of Cloud Computing on the Governmental Units Performance and EParticipation (Empirical Study)

Radwan n Al-Dwairi, Wafa’a Jditawi
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Abstract

Abstract Cloud computing is an effective technology for businesses and government sections to enhance their performance. In many modern countries adoption of cloud computing improves its success in reducing the costs with high level of eservices offered to citizens. However, many developing countries are still reluctant to adopt cloud computing and received very little empirical support. This study reviews the literature of this domain and builds a model to examine the main drivers that help decision makers in adoption of cloud technology with e-government sectors. Based on a sample of 326 respondents data analyzed using the Structural Equation Modelling though Smart Partial Least Squares technique. The study revealed that mobility, cost, backup & disaster recovery, scalability & flexibility are the key drivers that significantly affect employees’ intention to adopt cloud computing for governmental units which in turn positively influence the effectiveness of e-participation Keywords: Cloud computing, E-government, E-participation, Scalability, Mobility, Backup & Disaster recovery.
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云计算对政府部门绩效和参与度的影响(实证研究)
摘要云计算是企业和政府部门提高绩效的有效技术。在许多现代国家,云计算的采用通过向公民提供高水平的电子服务来提高其在降低成本方面的成功率。然而,许多发展中国家仍然不愿采用云计算,也很少得到实证支持。本研究回顾了该领域的文献,并建立了一个模型来研究帮助决策者在电子政务部门采用云技术的主要驱动因素。基于326名受访者的样本,通过智能偏最小二乘技术使用结构方程建模分析数据。研究表明,移动性、成本、备份和灾难恢复、可扩展性和灵活性是显著影响员工在政府部门采用云计算意愿的关键驱动因素,而这反过来又对电子参与的有效性产生了积极影响关键词:云计算、电子政务、电子参与、可扩展、移动性、备份和灾后恢复。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Advances in Soft Computing and its Applications
International Journal of Advances in Soft Computing and its Applications Computer Science-Computer Science Applications
CiteScore
3.30
自引率
0.00%
发文量
31
期刊介绍: The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on Advances in Soft Computing and Its Applications. IJASCA will publish only articles of the highest quality. Submissions will be evaluated on their originality and significance. IJASCA invites submissions in all areas of Soft Computing and Its Applications. The scope of the journal includes, but is not limited to: √ Soft Computing Fundamental and Optimization √ Soft Computing for Big Data Era √ GPU Computing for Machine Learning √ Soft Computing Modeling for Perception and Spiritual Intelligence √ Soft Computing and Agents Technology √ Soft Computing in Computer Graphics √ Soft Computing and Pattern Recognition √ Soft Computing in Biomimetic Pattern Recognition √ Data mining for Social Network Data √ Spatial Data Mining & Information Retrieval √ Intelligent Software Agent Systems and Architectures √ Advanced Soft Computing and Multi-Objective Evolutionary Computation √ Perception-Based Intelligent Decision Systems √ Spiritual-Based Intelligent Systems √ Soft Computing in Industry ApplicationsOther issues related to the Advances of Soft Computing in various applications.
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