Network Structure And Organizational Roles Of Government Cross-departmental Data Sharing

Under the background of Reforms to Streamline Administration and Delegate Power,Improve Regulation,and Upgrade Services,Optimizing the Business Environment has become a new field for the improvement of government governance ability.As a typical cross-border public affairs,the complex nature of business environment optimization and the objective requirement of continuous optimization urge horizontal departments within the government to break the original organizational boundaries,optimize the form of inter-organizational relations,integrate functions and restructure business processes,and realize the transformation from division of departments to collaborative governance.At the same time,the construction of digital government also puts forward higher requirements for inter-departmental data connectivity and business collaboration.However,problems such as "data barriers" and"information islands" still exist within the current system.Therefore,it is necessary to establish inter-departmental communication and consultation and data sharing mechanisms,break departmental boundaries and data barriers,and improve the level of collaborative governance of government data.Through literature review,it can be found that although existing researches have produced abundant research results on the influencing factors and mechanisms of government data sharing from the institutional,organizational,technical and individual levels,they have neglected to comprehensively and thoroughly describe and analyze the structural characteristics of government data sharing network and the roles and relationships of network organization members.The comprehensive delineation of the overall structure and organizational roles is the basis of analyzing the influence mechanism and behavior mechanism.Therefore,this paper is to solve the government inter-departmental data sharing network "what is" the basic question.Based on this,this study adopts the social network analysis method,selects Hangzhou,Jinan,Wuhan,Chengdu and Shenyang,five sub-provincial cities with high business environment optimization index in the eastern,central,western and northeastern regions respectively,summarizes and codes the business environment optimization policies of each city,and uses UCINET software to measure relevant indicators and draw visual maps.This paper aims to objectively describe the basic attributes of cross-departmental data sharing networks in different cities,identify the roles of core departments and summarize the typical patterns of data sharing.The results show that the data sharing network of the five cities has a wide range of participating departments and high information transmission efficiency.According to the closeness of connection and power concentration,different networks can be roughly divided into four types of network structure:overall equilibrium,center marginal,decentralized coupling and decentralized.According to the centrality index,this paper defines the role of departments with high degree centrality such as market Supervision Bureau,administrative examination and Approval Bureau,and Development and Reform Commission as "leaders",defines the departments with high intermediary centrality represented by big Data Bureau as"important facilitators",and other departments as "general cooperators".Finally,the paper summarizes two data sharing relationship models:"business management department-driven",typical of the Administrative examination and approval Bureau,and "data management department-supported",typical of the big data Bureau.They define the ownership and responsibility boundary of data resources from the organizational structure and technical level,providing technical support and organizational guarantee for the establishment of the data sharing platform.In conclusion,this paper provides a new perspective of organizational network analysis for the construction of government data governance system,and also provides strategies for the innovation of cross-departmental information sharing and collaborative governance model,and the improvement of business environment optimization.