区域科技资源共享平台演化机理与服务模式研究

发布时间：2018-01-29 19:23

  本文关键词： 区域科技资源共享平台 演化机理 创新路径 服务模式　出处：《哈尔滨理工大学》2016年博士论文　论文类型：学位论文

【摘要】：区域科技资源共享平台是增强科技资源的外溢效应、释放科技资源潜在价值的重要载体,随着新一代信息技术的扩散与应用,如何提升其自身的服务能力,适应新业态下技术创新需求,已经成为政府、企业界和学者们关注的重点问题。截至目前为止,已经建成并运行的区域科技资源共享平台(以下称“区域平台”),在科技基础条件资源共享方面取得了长足的进步。然而,单一的服务模式已经不能满足新时代的创新需求,为此,探索区域平台系统内部协同演化规律,通过服务模式创新推动平台协同发展,已经成为理论界亟待解决的问题,也是平台运行的现实需要。本文基于区域平台的战略定位,界定了其内涵与作用;从科技资源共享服务的特点出发,以价格弹性作为中介变量,建立了区域平台的经济控制模型,经过变换揭示了平台系统具有一阶反馈控制特性、科技资源价格不敏感性、科技资源整合的需求拉动特性、科技资源整合路径依赖性以及受环境扰动等多方面特性;在此基础上,提出了采纳新一代信息技术进行服务模式创新的必要性。分析了区域平台的自组织特性;基于其价值链特征,确定了表征物理价值链子系统的宏观参量,以及表征虚拟价值链子系统特征的宏观参量;用朗之万方程描述其系统涨落规律,确定了系统演化的失稳方向和失稳点;用哈肯模型刻画区域平台的协同演化过程,结合系统的自反馈控制特性,建立了系统的状态方程;以竞争、协同、有序等条件,建立了区域平台系统演化模型,经过解析发现,新一代信息技术推动平台系统协同演化发展呈现出三个阶段特征,分别是:驱动力培育阶段、协同发展阶段和高级有序阶段,并根据三个阶段的发展需求建立了服务模式创新的目标,分别是:驱动力培育阶段的感知能力提升,协同发展阶段的执行能力提升和高级有序阶段的自我完善能力的提升。以新一代信息技术的核心技术—云计算基础设施,作为服务模式创新的外生潜变量,以服务界面创新、服务流程创新、服务概念创新三个变量作为内生潜变量,构建了提升三个阶段能力的结构方程模型,经过对路径系数分析,确定了三条服务模式创新的路径,分别是:(1)云计算-服务概念创新-自我完善能力提升;(2)云计算-服务流程创新-执行能力提升;(3)云计算-服务界面创新-感知能力提升,为服务模式设计奠定理论基础。根据服务模式创新路经,从区域平台的组织模式、运作模式与效益模式三个维度设计其服务模式,分别是:以提高感知能力为目标的拓展服务模式,以提高执行能力为目标的集成服务模式,和以提高自我完善能力为目标的智慧服务模式。同时,从主体对接、资源集成、关系协调和运行保障四个方面设计服务模式的实现机制。根据区域平台不同性质软件增长数量为基础,分析软件数量增长与知识增长之间的线性关系与指数关系,确定了知识净增长率的表示方式;用最小二乘法确定了区域平台反馈特性的表示方式;最后,根据平台发展每个阶段的判别条件进行服务模式选择。以黑龙江省科技创新创业共享服务平台作为案例进行实证研究。首先,分析黑龙江省平台的现状,确定其协同演化阶段,选择了服务模式创新路径,设计相应的服务模式及实现机制,实证数据表明本研究成果具有一定的科学性和实用性。
[Abstract]:Regional science and technology resource sharing platform is to enhance the spillover effect of science and technology resources, an important carrier of the release potential value of scientific and technological resources, with the diffusion and application of a new generation of information technology, how to improve its service ability, adapt to the demands of technology innovation under the new form, has become the key problem of the government, experts and scholars concerned by enterprises. So far, has been built and run the regional science and technology resource sharing platform (hereinafter referred to as the "regional platform"), in the science and technology infrastructure resource sharing has made considerable progress. However, the model of a single service has been unable to meet the new era of innovation needs, therefore, to explore collaborative evolution within the region through the service platform system. Model innovation platform to promote coordinated development, has become an urgent problem in theory, need is also a platform to run the reality. This paper based on the strategy of regional platform The positioning, defines its connotation and function; from science and technology resources sharing service characteristics, with the price elasticity as an intermediary variable, established the model of regional economic control platform, the transformation reveals the platform system with first-order feedback control characteristic of science and technology resources price sensitive demand characteristics of the integration of scientific and technological resources, science and technology resources the integration path dependence and environmental disturbance and many other characteristics; on this basis, put forward the necessity of the innovation of service mode adopted a new generation of information technology. Analyzes the self-organization characteristics of regional platform; the value chain based on the characteristics of macro parameters characterizing the physical value chain system were determined, and the macro parameters characterization of the virtual value chain system; the system fluctuation law is described by the Langevin equation, the evolution of system instability and direction of instability; with Kazakhstan Ken model district The co evolution process domain platform, combined with the characteristics of self feedback control system, the establishment of the state equation of the system; to compete, cooperative, orderly and other conditions, the establishment of a regional system evolution model, through the analysis found that the system platform to promote a new generation of information technology co evolution development presents three stages of feature, respectively. The driving force, cultivation stage, development stage and the advanced stage of cooperative orderly, and according to the development needs of the three stages of the establishment of service model innovation, respectively is: the driving force of development stage of perception capabilities, self perfection ability coordinated development stage execution ability and higher order stage promotion. With the core technology a new generation of information technology, cloud computing infrastructure, as exogenous latent variable service model innovation, service interface service innovation, process innovation, service concept innovation as three variables The endogenous latent variables, construct the structural equation model of the ability to enhance the three stages, through the analysis of the path coefficient, determine the path, three service model innovation are: (1) cloud computing service concept innovation to enhance self perfection ability; (2) cloud computing service process innovation to enhance the ability of execution; (3) cloud computing service interface innovation perception capabilities, lay the theoretical foundation for the design of service mode. According to the service model innovation path, from the organization mode of regional platform, the three dimensions of the design mode of operation mode and benefit service mode are: to improve the sensing ability as the goal of expanding the service mode, to to improve the ability to perform the integrated service mode as the goal, and to improve the self perfection ability as the goal of intelligence service model. At the same time, the integration of resources from the main docking, relationship coordination and operation guarantee of the four aspects of design service model. This mechanism. According to the regional nature of software platform based on different growth analysis, linear relationship with the exponential relationship between software quantity growth and the growth of knowledge, the knowledge representation of the net growth rate; feedback characteristics of regional platform representation is determined by least square method; finally, according to the conditions of each stage of development of the service platform mode selection. In Heilongjiang province science and technology innovation sharing service platform as a case for empirical research. First, analysis of the status quo of Heilongjiang province platform, determine its evolution stage, the choice of the service model innovation path, design and Realization Mechanism of the corresponding service model, empirical data shows that the results of this study is scientific and practical.

【学位授予单位】：哈尔滨理工大学
【学位级别】：博士
【学位授予年份】：2016
【分类号】：F204
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本文编号：1474164