Models of Adopting Cloud Computing in the E-Government Context: A Review

Abstract

Governments and public sector agencies are continuously looking for ways to improve their services. Therefore, there is a need for restructuring processes and effectively using technology to improve efficiency and effectiveness of the business operations. Cloud computing is one of recent technological trends that support these efforts. It is a new type of sourcing model in which computing services are provided as a utility over the Internet. This paper analyzes the benefits and challenges of cloud computing over e-government systems. It reviews the existing literature on the proposed models of cloud computing adoption in the context of e-government. Further, this paper critically analyzes and classifies these models to different categories.

Cloud computing adoption model for e-government implementation

“…There are relatively few studies investigated the factors influencing cloud computing adoption for e-government services (Mohammed and Ibrahim, 2015). Ross (2010) evaluated the factors that influence an organization in a decision as to whether to adopt cloud computing as a part of their strategic information technology planning.…”

“…In the literature, there are relatively few studies that investigate cloud computing in the context of e-government. Most of them mainly discuss the benefits and challenges of cloud computing for e-government (Mohammed and Ibrahim, 2015), while another group of studies proposed a model or a framework to apply cloud computing for e-government services implementation. However, most of these studies, whether based on the cloud service model or existing e-government models, suggest either layered models (Liang, 2012; Li and Liu, 2014; Huang and Gu, 2013; Mukherjee and Sahoo, 2010; Chanchary and Islam, 2011; Naseem, 2012; Bo, 2013), step-based models (Song et al, 2013; Prasad and Atukuri, 2012; Naser et al, 2012; Rastogi, 2010; Wyld, 2010; Singh, 2012; Seo et al, 2014; Islam et al, 2015), or component-based models (Singh and Chandel, 2014; Nigam et al, 2015; Lee and Kim, 2013; Hana, 2013; Das et al, 2011; Kurdi et al, 2011; Chandra and Bhadoria, 2012; Liang and Jin, 2013).…”

An Analysis of Cloud Computing Adoption Framework for Iraqi e-Government

“…Cost saving (+) [66], [67], [70], [71], [73], [74], [75], [76], [46], [45], [77], [78], [69], [79], [47], [49], [80], [81], [68], [82], [64], [72], [83], [87] Scalability (+) [66], [70], [71], [73], [75], [76], [46], [42], [74], [62], [79], [47], [80], [81], [61], [63], [82], [64], [72], [87] flexibility (+) [67], [49], [50], [73], [74], [75], [62], …”

“…Top Management (+) [75], [78], [79], [80], [81], [44], [61], [70], [64], [72] IT infrastructure(+) [75], [42], [80], [81], [61], [63], [64], [72] IT Human Resources(+) [75], [70], [81], [44], [61], [63], [82] Easy of Use (+) [67], [70], [73], [74], [46], [42], [47], [49], [82], [83] Regulation Issues [62], [70], [83] VI. FACTORS AFFECTING CLOUD COMPUTING ADOPTION VIA IRAQI E-GOVERNMENT According to Table VI, there are 19 affecting factors which most researchers agreed on and they are divided into 5 major categories: namely, technological context, environmental context, organizational context, ease of use and regulation issues.…”

Cloud Computing Awareness among Practitioners in Yemeni Universities: An Exploratory Study

“…• Hybrid cloud: is a combination of two or more of the previous models (private / community / public). The organizations use this model to improve their performance and increase the efficiency of their core activities [16].…”