政府数据不当使用行为的影响路径研究

Research on the Pathway Model of the Impact of Government Data Misuse Behavior

[目的/意义]任何事物的发展都有两面性,探讨政府数据不当使用行为的影响因素及其作用机制,有助于充分发挥政府数据价值,为加快“数字中国”的建设提供参考依据。[方法/过程]运用元分析对政府数据不当使用行为相关实证研究文献进行分析,提取影响因素,分析影响效应,确定条件变量;在确定条件变量的基础上,基于典型案例运用fsQCA探讨各影响因素的组态路径。[结果/结论]政府数据不当使用行为的9个影响因素之间形成8条影响路径,并呈现三种组合效用类型,分别为“多要素复合驱动型”“技术主导型”“内外双重加持型”。其影响效应是:政府数据不当使用行为的发生与核心条件不存在必然联系;技术发展水平在政府数据不当使用行为的发生机制里发挥重要作用;外部社会影响的复杂性和内部数据质量的多面性使得多因素之间形成不同的作用机制。

[Purpose/significance]Exploring the influencing factors of government data misuse behavior and its mechanism of action will help give full play to the value of government data and provide a reference basis for accelerating the construction of“Digital China”.[Method/process]Using meta-analysis,we analyzed empirical research papers related to government data misuse behavior,extracted influence factors,analyzed influence effects,identified conditional variables,and explored the grouping path of each influence factor based on typical cases using fsQCA.[Result/conclusion]Forming eight pathways of influence between the nine influences on government data misuse behavior,presenting three types of combined utility,respectively,“multi-factor composite driven”“technology-driven”“internal and external dual-support type”.The effects are:the occurrence of government data misuse is not necessarily linked to the core conditions;the level of technological development plays an important role in the mechanism of government data misuse;and the complexity of external social influences and the multifaceted nature of internal data quality lead to different mechanisms of action between multiple factors.