This paper discussed the E-government success barriers and how could these barriers affect in users' dissatisfaction as measure of E-government success. The model explained more embedded relations of Information System (IS) success model in a negative context. E-government quality model encompasses information quality, system quality, service quality and IT infrastructures readiness, which are the predecessors of user satisfaction as measure of E-government success. The research model has been empirically tested using 93 IT managers and IT specialists of Jordanian government agencies. PLS-structural equation modeling (SEM) has been used because his superior statistical power in dealing with complex causal model and small sample size. The results clearly articulated that provisioned e-services are less than expectations of stakeholders. We found that lack of IT infrastructures readiness is the strongest factor to affect in E-government performance negatively and the most important factor to provoke users' dissatisfaction. Along with the other factors were found significantly correlated with users' dissatisfaction. The relation of system quality with services quality only the difference between female and male group, where male group found its insignificant while females found that low system quality led to low service quality directly.

This paper discussed the E-governmentsuccess barriers and how could these barriers affect in users' dissatisfaction as measure ofE-governmentsuccess. The model explained more embedded relations of Information System (IS) success model in a negative context. E-governmentquality model encompasses information quality, system quality, service quality and IT infrastructures readiness, which are the predecessors of user satisfaction as measure of E-government success. The research model has been empirically tested using 93 IT managers and IT specialists of Jordanian government agencies. PLSstructural equation modeling (SEM)has been used because his superior statistical power in dealing with complex causal model and small sample size. The results clearly articulated that provisionede-services are less than expectationsof stakeholders.We found that lack of IT infrastructures readiness is the strongest factor to affect in E-governmentperformance negatively and the most important factor to provoke users' dissatisfaction. Along with the other factors were found significantly correlated with users' dissatisfaction.The relation of system quality with services quality only the difference between female and male group, where male group found its insignificant while females found thatlow system quality led to low service quality directly.

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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A supply chain should be operated in the most efficient way in a highly competitive environment, with the goals of cost minimization, shipment delays, inventories and expenditures, and distribution maximization, gain, return on investment, level of customer support, and efficiency. The development of supply-chain distribution networks is therefore an extremely complex task, due to the large physical production and distribution network flows, the uncertainties associated with external interface customers and suppliers as well as the non-linear dynamics linked to internal information flows. This study aims to address a problem in domestic distribution in a supply chain system that includes manufacturers, distribution centers and consumer zones to determine the optimum configuration of the network. We propose a mixed integer linear programming model to solve the problem.