产业集群知识资源配置与协同创新研究

发布时间：2018-03-30 07:05

本文选题：产业集群　切入点：知识资源配置　出处：《安徽工程大学》2017年硕士论文

【摘要】：产业集群是企业间在时空上的一种聚集方式,集群中的主体通过不同构成要素的流动而紧密联系,它能有效整合区域内经济和社会资源,提升区域整体竞争力,促进当地科技与经济发展的规模化。同时,产业集群能够为企业间的协同创新提供交流平台与制度约束,加强集群内企业间的联系,提高企业创新能力。现阶段产业集群内企业在地理位置上呈现带状分布,缺少相应的互动与协同创新。同时知识资源的更新速度加快,技术进步周期越来越短,企业依靠自身技术创新以及技术改良无法适应经济的快速发展。企业必须通过协同创新实现技术的革新与改良。企业在协同创新路径选择以利益最大化为依据,由于产业集群中的企业出于对协同创新的风险与既得利益的考虑,不愿与其他企业进行协同创新,导致追求利益最大化的个人理性和集体理性存在矛盾,无法实现产业集群内企业的协同创新。产业集群中的竞争力来源于集群企业间交互的协同作用与协同创新。企业之间的协同创新是一个自组织过程,其中正负反馈机制的非线性作用促进集群创新系统的协同演化。探究产业集群协同创新的运作机理,分析集群企业协同创新路径对我国产业集群竞争力的提升具有借鉴意义。本文研究产业集群知识资源配置与协同创新,主要工作如下:(1)在国内外关于产业集群知识资源配置与协同创新研究的基础上,将协同学理论与知识资源的优化配置理论相结合,对产业集群知识资源优化配置的内涵、特征、要素、目标定位和组织形式等进行研究,探究产业集群知识资源配置过程的影响因素,构造产业集群知识资源优化配置模型。(2)结合产业集群知识资源的特性,以产品生命周期理论(PLM)理论视角寻找产业集群知识资源优化配置与协同创新的关系。得出产业集群的协同创新经历萌芽期、成长期、成熟期和衰退期四个阶段。在萌芽期阶段,产业集群的协同创新建立在知识资源共享基础上,以显性、隐性知识作为中介变量,研究知识的固有特性、知识的传播途径、知识主体特性、内生激励、外生激励五个变量与知识共享间的关系。在成长期阶段,从宏观与微观对产业集群的协同创新影响因子加以比较,探寻产业集群协同创新的影响要素。构造产业集群协同创新因子的模型图,得出影响产业集群协同创新的影响因素,并基于对安徽省汽车产业集群的调研结果,运用结构方程加以检验。(3)通过博弈演化,分析产业集群协同创新过程中利益相关者的策略、选择与协作关系,构建实施博弈模型,模拟产业集群协同创新的动态实施路径和过程,提出改进集群协同创新的措施方法,给出相应的保障机制和政策措施建议。
[Abstract]:Industrial cluster is a kind of agglomeration mode between enterprises in time and space. The main body in cluster is closely connected by the flow of different constituent elements. It can effectively integrate the economic and social resources in the region and promote the overall competitiveness of the region. Promoting the scale of local science, technology and economic development. At the same time, industrial clusters can provide communication platform and institutional constraints for collaborative innovation among enterprises, and strengthen inter-firm ties within the cluster. At the present stage, enterprises in industrial clusters present a zonal distribution of geographical location, lacking of corresponding interaction and collaborative innovation. At the same time, the renewal speed of knowledge resources is quickened, and the period of technological progress is becoming shorter and shorter. Depending on their own technological innovation and technological improvement, enterprises can not adapt to the rapid development of economy. Enterprises must realize technological innovation and improvement through collaborative innovation. The choice of cooperative innovation path is based on the maximization of benefits. Because the enterprises in the industrial cluster are unwilling to carry out collaborative innovation with other enterprises out of the consideration of the risks and vested interests of collaborative innovation, it leads to the contradiction between individual rationality and collective rationality in pursuit of maximization of benefits. The competitiveness of industrial cluster comes from the synergy and innovation among enterprises. The collaborative innovation among enterprises is a self-organizing process. Among them, the nonlinear effect of positive and negative feedback mechanism promotes the cooperative evolution of cluster innovation system. This paper studies the allocation of knowledge resources and collaborative innovation of industrial clusters. The main work is as follows: (1) on the basis of domestic and foreign researches on the allocation of knowledge resources and collaborative innovation of industrial clusters, combining the theory of synergy with the theory of optimal allocation of knowledge resources, the connotation and characteristics of the optimal allocation of knowledge resources in industrial clusters are discussed. The factors, target orientation and organization form are studied to explore the influencing factors of the process of industrial cluster knowledge resource allocation, and to construct the model of optimizing industrial cluster knowledge resource allocation, which combines the characteristics of industrial cluster knowledge resource. The relationship between the optimal allocation of knowledge resources and collaborative innovation in industrial clusters is explored from the perspective of product life cycle theory (PLM). It is concluded that the collaborative innovation of industrial clusters has four stages: budding, growing, maturing and declining. The collaborative innovation of industrial clusters is based on the sharing of knowledge resources, taking explicit and tacit knowledge as intermediary variables, studying the inherent characteristics of knowledge, the way of knowledge transmission, the characteristics of knowledge subject, and the endogenous motivation. The relationship between the five variables of exogenous incentive and knowledge sharing. This paper explores the influencing factors of industrial cluster collaborative innovation, constructs the model diagram of industrial cluster collaborative innovation factor, obtains the influencing factors of industrial cluster collaborative innovation, and based on the investigation results of Anhui automobile industry cluster, Through game evolution, the strategy of stakeholders in the process of industrial cluster collaborative innovation is analyzed, the relationship between selection and cooperation is selected, and the implementation game model is constructed. This paper simulates the dynamic implementation path and process of industrial cluster collaborative innovation, puts forward the measures to improve cluster collaborative innovation, and gives the corresponding safeguard mechanism and policy suggestions.
【学位授予单位】：安徽工程大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F273.1

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