Cloud computing adoption model for e-government implementation

Mohammed, Fathey; Ibrahim, Othman; Nilashi, Mehrbakhsh; Alzurqa, Ensaf

doi:10.1177/0266666916656033

Cited by 64 publications

(58 citation statements)

References 58 publications

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“…After analyzing previous studies, it was found that many studies considered constructs influencing the CC adoption at an individual level ( [24,[59][60][61]63,[65][66][67][68][69][70][71][72][73][74][75][76][77]); however, there was a dearth of material concerning this at the organizational level [31,32,35]. As mentioned above, the two most dominant hypotheses used for considering technology adoption from an organizational perspective are the TOE framework, and the DOI model [31,32,35,[78][79][80][81][82][83][84]].…”

Section: Technology Adoption Theoriesmentioning

confidence: 99%

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A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

et al. 2020

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Cloud computing (CC) delivers services for organizations, particularly for higher education institutions (HEIs) anywhere and anytime, based on scalability and pay-per-use approach. Examining the factors influencing the decision-makers’ intention towards adopting CC plays an essential role in HEIs. Therefore, this study aimed to understand and predict the key determinants that drive managerial decision-makers’ perspectives for adopting this technology. The data were gathered from 134 institutional managers, involved in the decision making of the institutions. This study applied two analytical approaches, namely variance-based structural equation modeling (i.e., PLS-SEM) and artificial neural network (ANN). First, the PLS-SEM approach has been used for analyzing the proposed model and extracting the significant relationships among the identified factors. The obtained result from PLS-SEM analysis revealed that seven factors were identified as significant in influencing decision-makers’ intention towards adopting CC. Second, the normalized importance among those seven significant predictors was ranked utilizing the ANN. The results of the ANN approach showed that technology readiness is the most important predictor for CC adoption, followed by security and competitive pressure. Finally, this study presented a new and innovative approach for comprehending CC adoption, and the results can be used by decision-makers to develop strategies for adopting CC services in their institutions.

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Section: Technology Adoption Theoriesmentioning

confidence: 99%

“…The TOE framework and the DOI model are used widely to examine the adoption of technology at the organizational level [31,32,35,[78][79][80][81][82][83][84]. We carry out an analysis of the adoption theories used in the literature.…”

Section: Doi Modelmentioning

confidence: 99%

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

et al. 2020

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“…• Regulations: refer to the rules and policies that are applied by organisations in order to persuade there to be an increase in the adoption of IT innovations [50]. For this, governments have the ability to promote the adoption of cloud computing by drafting regulations in order to encourage organisations to invest.…”

Section: Environmental Contextmentioning

confidence: 99%

“…Trust has a major impact on online services. Governments provide adequate services in a way that is appropriate to the levels of the underdeveloped users in order to increase the adoption of the e-services and which contributes to the citizens' trust [50]. It is difficult for cloud service providers to determine the location of data storage because of the lack of infrastructures in these countries, so they have to store data in foreign locations.…”

Section: Social Contextmentioning

confidence: 99%

Cloud Computing in Government Organizations-Towards a New Comprehensive Model

Mudawi¹,

Beloff

White

2019

2019 IEEE SmartWorld, Ubiquitous Intelligence &Amp; Computing, Advanced &Amp; Trusted Computing, Scalable Computing &Amp; Commu

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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.

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“…The studies that focused on middle east region, [49,50,51], explored CC benefits and challenges for e-government theoretically in Jordan and United Arab Emirates respectively. Other studies assessed CC adoption for e-government implementation in Yemen [40,52] and [37] investigated the factors affecting Saudi government to adopt CC. Obviously, the empirical studies investigated in adoption CC for government organizations still rarely.…”

Section: Previous Studiesmentioning

confidence: 99%

Readiness of Government Organizations for Cloud-Computing Age: An Empirical Evidence from Jordan

Al-rawahna¹,

Hung²,

Chen³

2018

JBMS

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The aim of this study is examining the readiness of the Jordanian government sector to adopt cloudcomputing. The study empirically applied the TOE research framework that enables targeting IT managers and IT specialists in several Jordanian organization, where 132 respondents distributed on three subgroups were targeted. The obtained data were analyzed using Partial Least Square because of the small sample size. The result indicated that top management support, organization capability and government policy reflect the organizational readiness of government organizations to adopt cloud-computing. The multigroup analysis results revealed that Although the size of organizations varies, they have similar drivers of cloud-computing adoption. The IT-related experience has significant negative effect on intention of adoption while cloud knowledge insignificant. The study demonstrated the importance of the pre-adoption step that decision-makers should be aware of organization readiness before taking the decision of adoption, otherwise the organization will fall in cloud-computing trap. The study yielded some practical evidence, for instance, government organizational readiness will help in adopting cloud-computing appropriately to uptake its advantages; IT skills and robust IT infrastructures are both essential pillars for government organization readiness; top management support positively influences the organizational readiness and this an evidence for responsibility of top managers about success of adoption new technology; supportive government policy is substantial issue to strength government organization readiness and persuade government agencies' managers approve transforming process from old IT model into cloud-computing and allocate essential resources.

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Cloud computing adoption model for e-government implementation

Cited by 64 publications

References 58 publications

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

Cloud Computing in Government Organizations-Towards a New Comprehensive Model

Readiness of Government Organizations for Cloud-Computing Age: An Empirical Evidence from Jordan

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