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Research On Public Adoption Behavior Based On The Game And Simulation Of Public Information Service Participants

Posted on:2020-12-28Degree:MasterType:Thesis
Country:ChinaCandidate:J ChenFull Text:PDF
GTID:2480306452973009Subject:Information management and information systems
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The public adoption behavior in public information service is not only influenced by the decision-making behavior of the supply-side group,but also obeys the individual behavior law and internal drive on the demand side.Under the background of "Internet Government Affairs Service",the government's original "passive service mode based on information openness" is changing to "meticulous management,targeted service and perfect and optimized active service mode".Public information service construction project technical requirements are higher,investment is greater.Many provinces and cities in China actively try to cooperate with government and enterprise in public information service.Under this mode,the relationship network(supervision,adoption,active operation)between the participants(government departments,the public,information enterprises)evolves more and more complex,presenting the opportunity and the risk coexistence situation.At the same time,the demand-side 's adoption behavior is influenced by many factors,such as behavior rules,so it is a dynamic and time-consuming process to train the public to adopt and use public information services.Based on this,the paper takes the public adoption behavior as the research object and analyzes it from the perspective of the service supply side and the demand side,with the help of the evolutionary game theory,the system dynamics simulation method and the structural equation model.Combined with the construction project of "intelligent sunrise service network" and the adoption of "e Fuzhou" APP by the public,the qualitative and quantitative research is carried out in order to improve the quality of public information service and optimize the experience of public information service,in order to promote the public to adopt behavior to provide reference.The research content of this paper is divided into five parts: the first part mainly introduces the research background,the significance of the topic,and the research status quo of related theories;The second part introduces the evolutionary game theory,the simulation method of system dynamics and the basic model of adopting behavior.The third,fourth part is the key part of this paper.Among them,the third part is mainly based on the public information service supplier perspective,under the cooperation mode of government and enterprise,the public information service participation is locked into the government department,the public and the information enterprise.The evolutionary game model of public information service participants is established.The model is simulated by using system dynamics theory,and the analysis of public information service construction project of "intelligent sunrise service network" in Beijing is carried out.The fourth part is based on the public information service demand-side perspective,according to the characteristics of different stages of the public adoption process,respectively,building the initial public adoption stage I model and the continuous adoption stage II model.Based on the empirical study on the use of "e Fuzhou" APP,the structural equation model is used to test the research hypotheses.The fifth part is the summary part of this paper,which combs the research conclusion from the perspective of supply and demand and gives the corresponding suggestions.The results show that the choice of public behavior is influenced by the supervision of government departments and the business philosophy of information enterprises.At different adoption stages,there are differences in the factors and paths that affect the behavior.The adoption behavior-related models constructed in this paper have good fitting effect.
Keywords/Search Tags:Public Information Service, the Public Adoption Behavior, Participants Game, System Dynamic Stimulation
PDF Full Text Request
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