Research On The Factors Affecting "Internet+Government Service" Data Co-governance Level

Government service data will produce value based on flow,and government service data sharing is only a part of government service data collaboration.In order to achieve good governance effect of government service data,it is necessary to upgrade government service data to government service data system,so that government service data can be changed from partial,static and isolated to overall,dynamic and related state.At present,some scholars begin to propose that government service data should be paid attention to from the perspective of collaborative governance.Although all government departments have established and have their own functions and business data,due to information barriers and multiple government departments,these data can not achieve vertical connectivity and horizontal collaboration,and the data can not be interconnected,that is,they can not play their maximum potential,This makes the data we have unable to form the overall performance.It is not difficult to see that collaborative governance of government service data will become the mainstream trend in the future.From the current research point of view,the analysis of government service data as the research object is less.From the theoretical level,there are more and more discussions on the influencing factors and mechanisms of data sharing and data system governance,but most of them are based on descriptive and normative analysis,and the micro construction path of government data collaborative governance level can not be clearly defined;This paper discusses the mode and experience of government data sharing and data collaborative governance from the practical case level,but it does not pay attention to the complex synergy of factors affecting the level of provincial government data collaborative governance from the systematic and holistic perspective.Therefore,it is the focus of this study to explore the influencing factors of collaborative governance level of provincial government government service data and the configuration path of complex collaboration."Configuration perspective" is widely used to understand the complex causal relationship in complex organizational governance.In this perspective,antecedents interact with each other and influence the results through different permutations and combinations.Based on this,this study combines the toe framework,based on the fuzzy set qualitative comparative analysis(fsqca)method,in 31 provincial government service data collaborative governance practice scenarios,through the "configuration perspective" to explore the influencing factors and improvement path of government service data collaborative governance level.Finally,we try to explore the following questions: which configuration has an impact on the level of collaborative governance of government service data? Among the influential conditions,which are the core conditions and which are the marginal conditions? Which conditions play a more important role? Which factors and their combinations can replace each other in the conditions of influence? Are there causal asymmetries in the condition and outcome variables?The results show that: firstly,government service data sharing is gradually changing to collaborative governance of government service data,and the level of collaborative governance of government service data of provincial government is affected by multiple factors.Secondly,based on the qualitative comparative analysis method,it is concluded that(1)the path of higher collaborative governance level of government service data can be summarized into five modes,namely "(environment organization","technology organization","technology environment" dual focus ","organization technology "and" organization technology environment linkage "(2)Intelligent terminal construction,big data industry development level and legal system construction are the core variables.Among them,intelligent terminal construction and big data industry development level appear as core variables in four paths,and relevant laws and regulations appear as core variables in two paths(3)There are five paths leading to low level of collaborative governance of government service data,which are not the opposite of high level of collaborative governance of government service data.Therefore,the causal asymmetry of qualitative comparative analysis(QCA)method is verified(4)The establishment and improvement of data governance institutions play a relatively important role.The reason is that under specific conditions,data governance institutions can replace each other with "intelligent mobile terminal + regional economic development level","regional economic development level + big data industry development level","intelligent mobile terminal construction + public demand","public demand + big data industry development level",and a single condition can play the role of condition combination.On this basis,this study points out that the provinces should explore the adaptive development path according to local conditions,give play to other advantages on the basis of improving the institutional functions,and combined with the targeted points of the provinces,it should optimize the government service data governance institutional system,improve the level of intelligent terminal construction,enhance the development level of big data industry,and improve the system construction.