情报科学 ›› 2024, Vol. 42 ›› Issue (12): 48-59.

• 理论研究 • 上一篇    下一篇

开放政府数据利用行为:影响因素和实现路径 ——基于Meta-analysis和fsQCA的混合分析方法

  

  • 出版日期:2024-12-05 发布日期:2025-06-27

  • Online:2024-12-05 Published:2025-06-27

摘要: 【目的/意义】目前关于开放政府数据利用行为的影响因素研究尚未形成一致结论,旨在探究开放政府数据 利用行为的影响因素和实现路径,助力提升政府数据价值利用效果,为政府数字化转型和政府治理现代化提供支 撑。【方法/过程】通过系统性文献筛选对43篇国内外实证研究成果进行Meta分析,共计获取198个效应量和13757 个样本量,在此基础上获取显著性影响因素作为条件变量;结合 Meta 分析中的条件变量进行 21 个典型案例的 fsQCA 分析,进而探究开放政府数据利用行为的实现路径。【结果/结论】平台交互性、易用性、感知有用性、数据质 量、政府形象对开放政府数据利用行为具有关键性影响,五项关键性影响因素之间呈现组态效应,可归纳为认知驱 动型、技术驱动型和利用主体驱动型三条实现路径。【创新/局限】混合运用Meta-analysis和fsQCA两种方法揭示了 何种因素能够影响开放政府数据利用行为效果及其实现路径,规避了单一研究方法的不足,后续研究可进一步拓 展对公共数据开放利用行为的探究。

Abstract: 【Purpose/significance】At present, researches on the influencing factors of open government data(OGD) utilization have not reached a consensus conclusion, this paper aims to explore the influencing factors and development path of OGD utilization behavior, help improve the value utilization effect of government data, and provide support for the government's digital transformation and gover⁃ nance modernization【. Method/process】Through systematic literature screening, a meta-analysis was conducted on 43 relevant empiri⁃ cal studies at home and abroad, and a total of 198 effect sizes and 13757 sample sizes were obtained. On this basis, significant influ⁃ encing factors were obtained as conditional variables. Combined with the conditional variables in the meta-analysis, fsQCA analysis of 21 typical cases is carried out, and then the implementation path of OGD utilization behavior is explored【. Result/conclusion】Platform interactivity, usability, perceived usefulness, data quality and government image have significant effects on OGD utilization behavior, and there are configuration effects among the five significant influencing factors, which can be summarized as cognitive-driven, technology-driven and subject-driven paths.【Innovation/limitation】The mixed use of both Meta-analysis and fsQCA reveals what factors can influence the effect of OGD utilization behavior and its realization path, which circumvents the shortcomings of a single re⁃ search method, and subsequent studies can further expand the exploration of open public data utilization behavior.