8th International Conference on High-Capacity Optical Networks and Emerging Technologies 2011
DOI: 10.1109/honet.2011.6149830
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E-government based on cloud computing with rational inference agent

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Cited by 14 publications
(8 citation statements)
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“…Smitha et al [16] suggest that the integration of the cloud computing in e-government could solve a number of problems including data duplication, low resource utilization rate, repetitive infrastructure construction and information isolated island. Besides this, governments could be benefited from overall cost reduction, distributed data storage, scalability, accountability, modifiability and security management by using cloud computing [9,[18][19][20][21].…”
Section: Related Workmentioning
confidence: 99%
“…Smitha et al [16] suggest that the integration of the cloud computing in e-government could solve a number of problems including data duplication, low resource utilization rate, repetitive infrastructure construction and information isolated island. Besides this, governments could be benefited from overall cost reduction, distributed data storage, scalability, accountability, modifiability and security management by using cloud computing [9,[18][19][20][21].…”
Section: Related Workmentioning
confidence: 99%
“…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). There is a lack of studies investigating the influencing factors on cloud computing adoption in e-government context (Trivedi, 2013; Suo, 2013; Li et al, 2013; Kuiper et al, 2014; Killaly, 2011; Shin, 2013; Sallehudin et al, 2015; Abeywickrama and Rosca, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Alsanea (2015) investigated the factors that affect cloud computing adoption in the Saudi government area and evolved a practical roadmap in order to lead government organisations to adopt cloud computing effectively. Chanchary and Islam (2011) discussed the current e-government system in Saudi Arabia and proposed a cloud based model with a rational inference agent that is anticipated to be more user-friendly. El-Sofany, Al-Otaibi, and Alsanea (2012) researched in Saudi hospitals and developed a conceptual framework for patient records exchanges between hospitals all over Saudi Arabia.…”
Section: Cloud Computing Literature In Education In Saudi Arabiamentioning
confidence: 99%
“…Yamin and AlMakrami (2015) compared the results of their research with the results of other research in developed countries in technological context. Alsanea (2015) and Chanchary and Islam (2011) conducted their studies in the Saudi government sector. Alsanea (2015) investigated the factors that affect cloud computing adoption in the Saudi government area and evolved a practical roadmap in order to lead government organisations to adopt cloud computing effectively.…”
Section: Cloud Computing Literature In Education In Saudi Arabiamentioning
confidence: 99%