【作者】 李军；

【导师】 朱先奇；

【作者基本信息】 太原理工大学 ， 管理科学与工程， 2020， 博士

【摘要】 近年来,产业集群表现出对中国区域经济发展的巨大推动作用。而产学研协同创新正是集群创新模式中重要组成部分。集群环境是产业集群内部组织(企业、政府、大学及科研院所、中介组织)间形成的、技术创新活动与生产经营活动紧密嵌合的动态网络。集群环境促进产学研协同创新联盟孕育与发展,对产学研协同创新活动具有重要影响。集群环境中的产学研协同创新,是以集群领军企业主导的产学研协同创新联盟为核心、大范围整合产品价值创造活动网络的一种新型产业组织方式。因此,研究和探索集群环境中的产学研协同创新活动的内在规律,对于合理安排产学研协同方式、加快协同创新成果产业化和市场化、促进集群内部经济结构调整和产业升级,具有重要的理论价值和现实意义。本文研究内容如下:一是概念界定。对集群环境的概念进行界定。对产学研协同创新的实践平台和运行过程进行描述和对比分析。二是机理分析。对集群环境中的产学研协同创新系统的特征和功能、构成要素、协同类型进行分析。在提出系统结构和内涵解释的基础上,解析集群环境与产学研协同创新的相互作用机理。在风险分析基础上,提炼出由集群领军企业、大学及科研院所组成的产学研联盟协同创新组织实施过程中的3个关键环节。三是关键环节具体研究。1.伙伴选择,设计基于3因素12个指标的评价指标体系,构建改进神经网络模型,并将其应用于联盟协同创新伙伴评价测度中;2.契约达成与利益分配,构建产学研竞合博弈模型、改进分配博弈模型,并进行分析;3.成果扩散,通过构建数学模型,仿真研究联盟协同创新成果在集群企业中的扩散机理。四是结论及展望。提出研究结论和管理启示,指出研究不足及未来研究方向。本文研究结论如下:集群环境影响产学研协同创新联盟战略目标制定和成果市场化,促进联盟形成和创新要素集聚。本文提出的评价方法,能够为集群领军企业选出适合共同开展产学研协同创新活动的大学或科研院所。改进的ELMAN较BP神经网络模型,在处理伙伴评价数据时,速度和准确性更佳。为促进合作契约达成,须提高协同创新效益、正向激励、协同次数和对局方参与率。基于改进Shapley值模型的利益分配方法是有效的。连接广泛的核心企业,在联盟创新成果扩散中发挥关键作用。可调节参数与集群环境即网络结构优化程度相关。联盟创新成果在集群企业中扩散存在临界值。集群企业节点异质性越强,越利于扩散。本文创新点如下:一是将产学研协同创新置于集群环境中展开研究。在提炼集群环境概念基础上,初步构建集群环境中的产学研协同创新理论基础,一定程度上丰富和深化集群创新与产学研协同创新理论。二是制定一套多元主体合作创新伙伴选择的方法。构建基于知识能力因素的评价指标体系。同时特色化地将改进的ELMAN反馈型神经网络模型引入,将其应用于集群环境中的产学研协同创新联盟伙伴评价测度中。三是完善多元主体合作创新博弈过程研究,提出一种解决利益分配的方法。提出每一次完整的产学研协同创新联盟博弈,由合作前的契约达成、合作后的利益分配两个阶段组成。重点在利益分配博弈阶段,构建基于创新增值、风险承担和资源投入因素的改进Shapley值模型。在此基础上,提出基于集群共同基金的利益补偿方案。四是设计一种研究产业集群中创新扩散问题的方法。首先利用复杂网络理论,构建集群企业演化网络模型。其次运用改进的SIR病毒传播模型,描述联盟创新成果在集群企业演化网络扩散过程中企业个体的微观变化。最后使用计算机仿真方法模拟该过程。更多还原

【Abstract】 In recent years,industrial clusters have shown great impetus to the regional economic development in China.The synergistic innovation of Industry-University-Research(I-U-R)plays an important part in cluster innovation.This kind of dynamic network is a network formed by enterprises,governments,universities,scientific research institutes and intermediary organizations in the cluster,which integrates technological innovation activities with production and marketing activities.The dynamic network is called cluster environment.The cluster environment has an important impact on the I-U-R synergistic innovation organization,which gets pregnant and developed in it.Under the cluster environment,I-U-R collaborative innovation is a new industrial organization model with the core of I-U-R innovation alliance led by the leading enterprises of the cluster and the large-scale integration of internal production value creational activity network.Therefore,it is of great theoretical and practical significance to further explore on the internal law of I-U-R synergistic innovation in the cluster environment,reasonable arrangement of the mode of I-U-R cooperation,and accelerate the industrialization and marketization of innovation achievements.Finally,it promotes the adjustment of economic structure and industrial upgrading within the cluster.This dissertation is divided into the following parts: The first part is the concept definition.The concept of cluster environment is abstracted,and the operation process and platform category of I-U-R synergistic innovation is analyzed.In the second part,the mechanism is analyzed.The features and functions,components,types of collaboration of the I-U-R synergistic innovation in cluster environment are described.The concept of system structure and connotation is proposed,and the interaction mechanism between cluster environment and the I-U-R synergistic innovation is analyzed.Three key links in the process of organizational implementation is distilled from risk analysis.The third part is the concrete research in three key links.The partner selection: An evaluation index system based on 3 factors and 12 indexes is designed.An improved neural network model is constructed and applied to the evaluation of I-U-R synergistic innovation partners.The contracts of all parties and benefit distribution: A game model of competition and cooperation among industry,university and research institute and a game model of benefit distribution based on multi-factors are constructed and analyzed.The diffusion of innovation achievements: Through the establishment of mathematical models,the diffusion of I-U-R synergistic innovation achievements in cluster enterprises evolutional network is studied.The fourth part is the conclusion and prospect.The main conclusions of the paper are summarized.The corresponding management implications are put forward.The lack of study and the future research direction are pointed out.The main research conclusions are as follows: The cluster environment promotes the formation of the alliance of the I-U-R synergistic innovation.In addition,it influences the target and plan of I-U-R synergistic innovation,the marketization of the innovation achievements,and the agglomeration of innovation elements.The evaluation method proposed in this paper can select the universities or research institutes suitable for the I-U-R synergistic innovation activities with cluster leader enterprise,and the improved ELMAN neural network is faster and more accurate than BP neural network when processing partner evaluation data.In order to promote the achievement of the contract among industry,university and research institute,it is necessary to improve the efficiency of I-U-R synergistic innovation,positive incentives,and the number of collaborations and the participation rate of the local parties.The benefit distribution method based on the improved Shapley value model is effective.The widely connected core enterprises play a key role in the diffusion of I-U-R synergistic innovation achievements.The adjustable parameter is positively related to the optimization degree of the cluster environment.There is a critical value for the diffusion of innovation achievements in cluster enterprises evolutional network.The stronger the heterogeneity of enterprises is,the better the diffusion is in the cluster.The innovation points are embodied in the following parts: Firstly,the I-U-R synergistic innovation is put in the cluster environment to carry out research work.The concept of cluster environment is extracted.The theoretical basis of I-U-R synergistic innovation in cluster environment is preliminarily constructed,which enriches and deepens the theory of cluster innovation and I-U-R synergistic innovation to a certain extent.Secondly,a set of methods for choosing multi-agent synergistic innovation partners has been developed.The evaluation index system that is based on knowledge capability is constructed,and the ELMAN feedback neural network model is applied to the evaluation of I-U-R synergistic innovation partners.Furthmore,it perfects the multi-agent cooperative innovation game process,and puts forward a method to solve the benefit distribution.It is proposed that every complete I-U-R synergistic innovation alliance game consists of two stages: the contract game before cooperation and the benefit distribution game after cooperation.In the stage of second game,an improved Sharpley value distribution model based on innovation value-added,risk-taking and resource input factors is constructed.On this basis,this paper puts forward an interest compensation scheme based on cluster mutual fund.Lastly,a method is designed to study the diffusion of the I-U-R synergistic innovation achievements in cluster environment.Based on the complex network theory,the cluster enterprises evolutional network is constructed.The improved SIR virus model is used to describe the individual micro changes of enterprises in the network propagation process of innovative achievements.Finally,the process is simulated by computer simulation.更多还原