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制造业虚拟化转型背景下双重创新网络与创新绩效演化

Multiple Innovation Networks and Innovation Performance of Manufacturing Clusters Virtual Transition
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摘要 制造业虚拟化转型背景下,双重创新网络的作用有待探索。运用多主体建模仿真与实证相结合的方法,考察双重创新网络对区域制造集群创新网络及其绩效的影响。结果表明:相较于区域创新绩效“缓慢—加快—稳定”的演化过程,虚拟网络嵌入后区域创新绩效呈现“加快—稳定”的特征。同时,进一步考察技术动态性对此造成的冲击,发现在不同技术动态性环境下,虚拟网络均有助于改善区域产业集群创新绩效。最后,仿真结果显示,鉴于虚拟化程度不同,创新绩效涌现出不同的变化规律,在此基础上利用南京江宁开发区制造业相关数据进行探索,发现在高技术动态条件下虚拟化程度与企业创新绩效呈倒U型关系,而低技术动态条件下呈正相关,从而为制造企业如何在虚拟化转型过程中兼顾两种异质创新网络提供一些思路。 In the environment of manufacturing industry transition to virtualization,the role of multilayer innovation network should be explored.Based on multiagent modeling and empirical analysis,this paper examines the influence of virtual network embedding on innovation performance about regional manufacturing clusters.The results show that the evolution processes of regional innovation performance shows"slow-fast-stable".While virtual network embedding the characteristic performances"fast-stable".Furthermore,this paper examines the impact of technological dynamism,and finds that technological dynamism makes the evolution of regional innovation performance appear inverted U-shaped,while virtual network embedding makes the evolution of cluster innovation performance present upward S-shaped and different technological dynamism emerges different evolution paths.Finally,with the varying degree of virtualization,different rules of innovation performance will emerge.On this basis,the inverted U-shaped relationship between the degree of virtualization and innovation performance of enterprises is empirically tested,so as to provide some ideas on how to take into account the two heterogeneous innovation networks in the process of virtualization transformation for manufacturing enterprises.
作者 蒋舒阳 庄亚明 Jiang Shuyang;Zhuang Yaming(School of Economics&Management,Southeast University,Nanjing 211189,China)
出处 《科技进步与对策》 CSSCI 北大核心 2019年第19期58-65,共8页 Science & Technology Progress and Policy
基金 国家自然科学基金项目(71372181) 江苏省科技重点研发计划项目(BE2016372)
关键词 虚拟化转型 双重创新网络 制造业集群 创新绩效 Virtualization Transformation Multiple Innovation Network Manufacturing Cluster Innovation Performance
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