摘要
【目的/意义】探究政府数据协同治理的影响因素,分析因素间关联关系及驱动-依赖作用,为厘清多主体协同治理政府数据的障碍,提升数据协同治理效率、挖掘数据价值提供科学参考。【方法/过程】从国内外文献中提炼政府数据协同治理影响因素,采用专家打分法遴选13个影响因素,将其归纳至信息生态理论的四个维度,利用解释结构模型法确定了因素的层级关系。采用交叉矩阵法得到了因素的象限分类位置,构建了政府数据协同治理影响因素驱动-依赖机制模型。【结论/结果】政府数据协同治理受到直接、间接、根本三层因素影响,且分布于“驱动力-依赖性”象限的独立群、自发群、依赖群。在政府数据协同治理驱动-依赖机制模型中主要存在3种链路:生态元驱动链、贯穿式依赖链、系统化驱动-依赖链。【创新/局限】明确了政府数据协同治理的影响因素层次关系及底层驱动-依赖作用,但对加强专家数量及因素的动态分析有待深入。
[Purpose/significance]This article explored the influencing factors of government data collaborative governance,analyzed the correlation among these factors,and interpreted the driving force-dependence mechanism.Scientific references were provided for clarifying the obstacles of multi subject collaborative governance of government data,improving the efficiency of data collaborative governance,and mining data value.[Method/process]Extracting the influencing factors of government data collaborative governance from domestic and foreign literature,using expert scoring method to select 13 influencing factors,categorizing these factors into four dimensions based on information ecology theory,and using interpretive structural modeling method,the hierarchical relationship of the factors is determined.The cross matrix method was used to obtain the quadrant classification positions of these factors,and a driving force-dependence mechanism model was constructed.[Result/conclusion] The collaborative governance of government data is influenced by direct,indirect,and fundamental factors,and is distributed in independent groups,spontaneous groups,as well as dependent groups in the"driving force-dependence"quadrant.In the government data collaborative governance driving force-dependence mechanism model,there are mainly three types of chains:ecological element driven chain,continuous dependence chain,and systematic driving force-dependence chain.[Innovation/limitation]The hierarchical relationship of influencing factors and the underlying driving force-dependence role of government data collaborative governance have been clarified,but further dynamic analysis is still needed to be strengthened as the number of experts and factors is increased.
作者
周霞
谷莹
陈为东
王美月
ZHOU Xia;GU Ying;CHEN Weidong;WANG Meiyue(School of Logistics,Chengdu University of Information Technology,Chengdu 610103,China;School of Business and Management,Jilin University,Changchun 130012,China;School of Management Science and Engineering,Anhui University of Finance&Economics,Bengbu 233030,China;Jilin Sport University,Changchun 130022,China)
出处
《情报科学》
北大核心
2025年第2期67-75,148,共10页
Information Science
基金
国家社会科学基金西部项目“政府开放数据用户认知模式与场景化应用研究”(23XTQ012)。
关键词
政府数据
协同治理
影响因素
解释结构模型
驱动-依赖机制
government data
collaborative governance
influence factor
interpreting structural mode
driving-dependency mechanism
