Assessing the success of an information system might help in locating weak and strong points of the system leading to the improvement of system under assessment. A popular system evaluation construct is user's satisfaction. Different measuring instruments were developed to assess this construct at the organization environment. In addition to the traditional instruments that were develop to assess information system success, new instruments need to be adapted that can cope with the internet context. This paper presents a measuring instrument that was developed to evaluate Kuwait e-government user's satisfaction while seeking information via Kuwait e-government portal. The instrument was based on several satisfaction factors. The application of this instrument indicated that the suggested factors predict the overall user satisfaction.

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The purpose of the research is to explain how Twitter supports real-time information exchange in popular domains, and examine the influence of source, message, and recipient characteristics on information exchange. University students were surveyed using a structured questionnaire. A model was developed and statistically tested to examine the influence of characteristics on information exchange via Twitter. Different characteristics were demonstrated to be significant predictors of information exchange. For source characteristics, authoritative knowledge, social connections, and attractiveness have a positive influence, while for recipient characteristics, prior knowledge, community engagement, and demographics influence information exchange. For message characteristics, information usefulness and information quality are effective. Overall, influences vary based on the domain. The results help Twitter operators and users to understand the most important source, message, and recipient characteristics for information exchange. This study informs sources about the characteristics that make tweets more informative, and more likely to be exchanged by recipients. It assists Twitter operators to understand what characteristics are important in future system designs.