摘要
[目的/意义]当前关于政府数据服务质量的影响因素尚未形成一致性结论,运用元分析与模糊集QCA组合分析,尝试得出关于政府数据服务质量影响因素的普适性结论,以期为政府数据服务高质量发展提供参考。[方法/过程]通过系统性文献筛选归纳政府数据服务质量影响因素,运用元分析方法揭示不同因素对政府数据服务质量的影响。在此基础上选取中国已上线的22个省级政府数据开放平台作为研究案例,借助模糊集QCA方法探明政府数据服务质量提升的3种组态路径。[结果/结论]研究结果表明,制度支持、个性化服务、准确性、基础设施、便利性、感知价值、用户信任是影响政府数据服务质量的关键要素。制度—信任驱动型、个性化—信任驱动型、制度—个性化驱动型是服务质量提升的组态路径。
[Purpose/Significance]At present,no consistent conclusion has been reached on the influencing factors of government data service quality.The meta-analysis and fuzzy set QCA combination analysis are tried to draw the influencing factors of government data service quality,in order to provide reference for the high-quality development of government data service.[Methods/Process]Influencing factors of government data service quality were summarized through systematic literature screening,and the influence of different factors on the service quality of government data is revealed by using meta-analysis method.On this basis,22 online provincial government data open platforms were selected as research cases,and the three configuration paths of government data service quality improvement were proved with the help of fuzzy set QCA method.[Results/Conclusion]The research results show that institutional support,personalized service,accuracy,infrastructure,convenience,perceived value and user trust are the key elements that affect the quality of government data service.System-trust driven,personalized-trust driven,system-personalized driven is the configuration path of service quality improvement.
作者
黄平平
石乐怡
吴应强
Huang Pingping;Shi Leyi;Wu Yingqiang(School of Information Management,Wuhan University,Wuhan 430072,China)
出处
《现代情报》
北大核心
2025年第9期165-176,共12页
Journal of Modern Information
基金
国家社会科学基金重大项目“我国政府信息公开到数据开放的理论创新与实践路径研究”(项目编号:22&ZD329)。
