中国政府首席数据官制度扩散的组态分析

Configuration Analysis of the Diffusion of the Chinese Government Chief Data Officer System

为揭示政府首席数据官制度扩散的动因,以新制度主义理论、资源松弛理论和组织适应理论为基础,结合地方政府实践情况,构建了政府首席数据官制度扩散的理论分析框架。采用清晰集定性比较分析法,从组态视角分析政府首席数据官制度在我国城市间扩散的原因和机理。研究发现,政府首席数据官制度的扩散并非单一因素作用所致,而是多种因素共同作用,归纳得出三类条件组态:压力—适应型,即公众诉求和技术应用能力推动地方政府采纳;适应型,即具有较高数据治理能力和技术应用能力的地方政府会积极采纳政府首席数据官制度以适应数字化趋势;压力—资源型,即城市化率、公众诉求和数字经济水平的组合作用会促进地方政府采纳政府首席数据官制度。

To shed light on the drivers of the diffusion of government chief data officer(CDO) systems,this study constructs a theoretical analysis framework for the diffusion of the government CDO system based on neo-institutionalism theory,resource slack theory,and organizational adaptation theory,combined with local government practice.Using csQCA method,this paper analyzes the motivations and mechanisms behind the diffusion of the government CDO system across Chinese cities.The study finds that the diffusion of the government CDO system is not the result of a single factor but the interplay of multiple factors.Three types of conditional configurations are identified,i.e.pressure-adaptation type,which is driven by public demands and technological application capabilities for local government adoption;adaptation type,that is,local governments with high data governance capabilities and technical application capabilities will actively adopt the government chief data officer system to adapt to the digitalization trend;pressure-resource type,that is,the combined effects of urbanization rate,public demand,and the level of development of the digital economy will promote local governments to adopt the government CDO system.