Key factors and generation mechanisms of open government data performance: A mixed methods study in the case of China
基于资源基础理论与制度理论，对中国122个建有开放政府数据平台的城市进行回归分析与定性比较分析，发现组织安排、法律政策与横向压力直接影响绩效，并揭示了不同地区与行政级别城市实现高绩效的多种路径。
Open government data (OGD) has attracted widespread attention and has been widely carried out on a global scale. With further promotion, OGD performance becomes a hot topic and meaningful enough for in-depth exploration. This research focuses on the influential factors and generation mechanisms of OGD performance. Based on the resource-based theory and institutional theory, this paper constructs a model from multiple dimensions of internal resources and external pressures. Subsequently, from the 122 cities in China that have constructed OGD platforms, this study adopts a mixed research methods approach, which combines the regression analysis method and qualitative comparative analysis (QCA). The regression analysis results show that the organization arrangement, legal and policy, and horizontal pressure have direct positive effects on OGD performance. On this basis, this paper use QCA method to explore the configuration paths for the generation of OGD performance of cities in different geographic regions and at different administrative ranks levels. The QCA results provide different configuration paths to achieve better OGD performance, which verified the conclusions drawn by the regression analysis, also provides alternative paths for governments with different characteristics. This paper enriches the studies on OGD performance and provides more targeted paths together with references for the implementation of OGD.