Research on the Configuration Effect of the Utilization Level of China's Provincial Open Government Data Platform:Empirical Analysis Based on NCA and fsQCA
[Purpose/Significance]The open government data platform is a carrier for online access and acquisition of government data.How to improve the utilization level of the platform is an important issue for the promotion of open government data.[Method/Process]Taking 16 provincial open government data platforms in China as research objects,it adopted the TOE framework and the necessary condition analysis method,NCA and fsQCA,analyzed the two types of causality,necessary and sufficient,to explore the key factors and effective paths that affect the utilization level of China's provincial open government data platforms.[Result/Conclusion]The study finds that there is no single necessary non-sufficient condition that affects the utilization level of pro-vincial open government data platform,and that three antecedent variables,namely,data resource construction level,data construction level and organizational readiness,are the key factors of that.From the grouping per-spective,it concludes four conditional grouping patterns that generate high utilization levels of provincial open government data platforms,that is,data technology and platform construction driven under government-led log-ic,technology and environment driven under demand response relying on financial resources,organization and environment driven under financial assistance relying on platform construction,and environment driven under government-led logic relying on data technology.
provincial governmentopen government dataportal utilizationconfiguration analysis
NETL
NSTL
万方数据
