Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Through the evaluation of municipal governments' website knowledge service quality, this paper hopes to provide data support and reference for the improvement and optimization of government website knowledge service quality.[Method/process] Through the literature collecting and questionnaire surveys, this paper establishes evaluation standards for the quality of knowledge services on government websites. Then, using the MUSA model and benchmarking management methods,we conduct an empirical analysis on the satisfaction of the municipal governments' website knowledge service quality.[Result/conclusion] The evaluation results of the user satisfaction of the three municipal government websites' knowledge service quality are actually obtained, and the position of each government website is positioned in terms of its competitive advantage, disadvantages, weaknesses, and priorities for improvement in the knowledge service process.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance]From the perspective of user perception, a model of influencing factors of knowledge service quality based on e-government portals for service encounter is constructed, which lays the foundation for the optimization of e-government portal knowledge service quality.[Method/process]A hypothesis model for the encounter quality influencing factors of e-government portal knowledge services was constructed through questionnaire survey. The hypothesis model was tested and corrected using exploratory factor analysis, and the model of encounter quality influencing factors of the revised e-government portal knowledge service was discussed.[Result/conclusion] The model of the encounter quality influencing factors of e-government portal knowledge service was constructed. From the perspective of user perception, the composition of the influencing factors of encounter quality of e-government portal knowledge service was comprehensively analyzed.
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