智慧政务信息生态协同演化机制研究

发布时间：2018-03-10 15:41

本文选题：智慧政务　切入点：信息生态　出处：《中央财经大学》2016年博士论文　论文类型：学位论文

【摘要】：在过去的几年中,信息技术在政治、经济、文化等各个领域不断渗透和推陈出新,正深刻改变着各类社会主体的运作方式和创新模式,驱动信息社会快速实现转型升级。大数据、云计算、物联网等技术的创新应用取得重大突破并向深层次发展,信息技术跨界融合的领域在不断扩大,信息化应用体现出泛在化、移动化、智慧化的新特征。政府机构面临全新网络空间环境,人工智能、语义网络、深度学习、WEB3.0等技术工具的应用,使政府需要面对虚拟化、社会化、个性化等全新的挑战,对政府治理提出更高要求。在这样的大背景下,政府信息化和公共服务进入智慧化发展的新阶段。为适应形势的发展,政府公共服将综合体现以用户为中心、普惠服务、泛在服务、无缝服务等智慧化特征,从而实现用户创新、大众创新、开放创新、协同创新的智慧政务建设发展范式。智慧政务是信息技术进步和政府信息化应用创新交错融合、螺旋式演化、发展到更高级阶段的必然结果。根据梳理国内外智慧政务以及信息生态的研究情况,本文主要开展了以下四个方面的研究工作:1、研究了智慧政务信息生态协同演化的关键影响因素。通过对近年来国内外智慧政务建设发展情况进行梳理,根据信息生态理论的研究成果,构建了智慧政务信息生态发展的关键影响因素模型。在此基础上,通过采用调查研究法、SEM数据分析技术,对305个来自于政府信息化从业人员的调查问卷样本进行分析验证。实证研究结果表明,信息生态是对智慧政务发展具有重要影响的研究变量,并且智慧政务平台建设、智慧政务服务能力、智慧政务影响力同样对智慧政务应用效果具有显著作用。2、研究了智慧政务信息生态协同演化的互动关系。智慧政务应用效果是体现建设发展水平的关键要素,通过运用面板VAR模型以及Stata数据分析技术,对省际面板数据样本进行分析验证估计,对网络基础设施就绪度、信息技术支撑能力、信息化应用能力、可持续发展环境和智慧政务应用效果之间的面板Granger因果关系进行检验。研究结果显示,信息生态的发展水平能对智慧政务应用效果的发挥具有重要的影响;智慧政务应用效果对信息生态发展水平的长期促进提升作用能够通过检验,但是在短期内的促进作用却相对较弱。3、研究了智慧政务信息生态协同演化的系统动力机制。运用系统动力学方法,构建了智慧政务信息生态发展的系统动力学模型,建立了系统的因果关系图和系统流程图,对智慧政务信息生态各个主体之间的关系进行了仿真分析。从系统仿真结果看,通过拟合度对比,得出该模型仿真结果的平均相对误差较小,其表现稳定性能够较好地应用于智慧政务信息生态研究。4、研究了智慧政务信息生态协同演化进程的评价方法。智慧政务信息生态评价是一个动态性、系统性的问题,通过利用DPSIR理论模型,分析智慧政务信息生态系统的驱动力、压力、状态、影响和响应因素,从而理清智慧政务信息生态系统协同演化作用机制。在此基础上,运用层次分析法确定各项评价指标的权重,形成智慧政务信息生态发展程度评价模型,采集中国数据计算评价结果,对模型的适用性进行验证。评价结果显示,中国智慧政务信息生态整体实现程度逐年稳步提高,并且各指标的变化呈现出一定的趋势和规律性。
[Abstract]:In the past few years, the information technology in the political, economic, cultural and other fields to penetrate and get rid of all kinds of social subjects are profoundly changing the mode of operation and innovation mode, realize information society transformation and upgrading drive. Big data, cloud computing, networking and other technical innovation and development to achieve a major breakthrough further, the information technology in the field of cross-border integration continues to expand, the application of information technology reflects the ubiquitous, mobile, new features of intelligence. Government agencies face a new network space environment, artificial intelligence, semantic network, deep learning, application of WEB3.0 tools, the government needs to face virtualization, socialization. Personalized new challenges and higher demands on the government. In this context, the new stage of government information and the public service into the intelligent development. To adapt to the development of the situation, The government's public service will be a comprehensive reflection of user centered, inclusive service, ubiquitous service, seamless services and other intelligent features, so as to realize the user innovation, mass innovation, open innovation, collaborative intelligence development paradigm innovation. The construction of E-government affairs is the wisdom of the progress of information technology and government information application innovation interlaced fusion, spiral evolution, development the inevitable result of a more advanced stage. According to the research situation at home and abroad, combing the wisdom of government information ecology, this paper carried out research in the following four aspects: 1, research on key factors affecting the wisdom of government information ecological co evolution. Through the recent domestic and foreign intelligence chief development to sort out, according to the the research achievements of information ecology theory, constructs the model of the key influence factors of the wisdom of e-government information ecosystem development. On this basis, through the investigation method, SE M data analysis technology, analysis and verification of the questionnaire sample 305 from government information practitioners. The empirical results show that the information ecology is the development of the research variables has an important influence on the wisdom of government, and the construction of e-government platform of wisdom, wisdom government service ability, wisdom government influence also has a significant effect on the application effect of.2 smart government, research on the relationship between the wisdom of e-government information ecological co evolution. The application effect is the key factor to reflect the wisdom of government construction and development level, using the VAR model and Stata data analysis technology, analyze and test the estimation of panel data sample, the network infrastructure readiness, information technology support ability, information application ability for inspection, sustainable development of environment and government intelligence application effect of panel Granger causality test. The results showed that the level of development of information ecology has important influence on the application effect of play the wisdom of government; application of smart government on the ecological development level of information to promote the long-term promotion effect to pass the test, but in the short term effect is relatively weak in the.3 system, the dynamic mechanism of the wisdom of e-government information ecological co evolution. By using the method of system dynamics, establishes the system dynamics model of e-government information wisdom of ecological development, established a system of causality diagram and flow chart of the system, the relationship between the ecological wisdom of e-government information of each subject is simulated. The simulation results from the system, by fitting the contrast, the average relative error is smaller that the results of the simulation model the applied research on information ecology wisdom of the chief.4 can show its stability, the wisdom of the government information ecological association The evaluation method with the evolution process. The wisdom of e-government information ecosystem evaluation is a dynamic, systemic problems, by using DPSIR theory model, analysis of the driving force, the wisdom of government information ecosystem pressure, state, response and influence factors, so as to clarify the wisdom of government information ecosystem co evolution mechanism on the basis of this. And the use of AHP to determine the weight of evaluation indicators, evaluation form wisdom of e-government information ecological development model, the evaluation results of data acquisition China, to verify the applicability of the model. The evaluation results show that the China wisdom of E-government Information Ecological Realization Degree steadily increased year by year, and the changes of the index trend and rules to a certain extent.

【学位授予单位】：中央财经大学
【学位级别】：博士
【学位授予年份】：2016
【分类号】：D63

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