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作 者:宋波[1] 赵良杰[2] 徐飞[3] SONG Bo;ZHAO Liangjie;XU Fei(Institute of Tourism,Shanghai Normal University,Shanghai 200234,China;College of Management,Southwest Minzu University,Chengdu 610041,China;School of Economics and Management,Southwest Jiaotong Univers让y,Chengdu 610031,China)
机构地区:[1]上海师范大学旅游学院,上海200234 [2]西南民族大学管理学院,成都610041 [3]西南交通大学经济管理学院,成都610031
出 处:《系统管理学报》2019年第4期615-624,共10页Journal of Systems & Management
基 金:国家科技部重点研发计划资助项目(2017YFB1401400);国家自然科学基金青年项目(71302021);教育部人文社会科学研究规划资助项目(17YJA630086);上海市科委创新计划软科学项目(17692103000);国家留学基金西部地区人才培养特别项目(201508515045);西南民族大学管理科学与工程硕士点建设经费资助项目(2018-XWD-S1201)
摘 要:基于双元创新结构刻画战略性新兴产业研发企业技术创新的微观行为,平衡战略性新兴产业探索式和开发式创新双元性,提出战略性新兴产业演进的新熊彼特创新发展通道;并将研发合作网络结构拓展至“关系-结构-位置”3种嵌入模式,采用计算机仿真和统计分析相结合的方法,深入研究网络嵌入模式选择对双元创新偏好下研发合作网络创新绩效的影响,以及环境复杂性和波动性特征在上述过程中的调节效应.研究发现:考虑到地理位置的邻近性,无论是开发式还是探索式创新偏好研发合作网络,位置嵌入模式总是最有利于其长期创新绩效的提升;而环境波动性和复杂性特征对创新绩效产出具有短期调节作用,且在一定程度决定结构嵌入模式更有助于增强开发式创新偏好研发合作网络的短期绩效,而位置嵌入则更有助于提升探索式创新偏好研发合作网络的短期绩效.This paper models micro behavior of technical innovation in strategic emerging industries based on ambidextrous innovation, and proposes that the Neo-Schumpeterian development of strategic emerging industries should consider how to balance explorative and exploitative innovation. By using three types of network embeddedness (relational, structural, and positional embeddedness) to depict the evolution mechanism of R&D collaboration network, it investigates both the direct effects of network embeddedness and the moderate effects of environmental complexity and turbulence on innovation performance of R&D collaboration network under different orientations of ambidextrous innovatio n. The results of computational simulation and statistics analysis show that positional embeddedness, which is related to location network with geographic proximity, is the best option to promote the long-term innovation performance of both explorative and exploitative oriented R&D collaboration network. Moreover, the turbulence and complexity of environment have short-term moderate effects on the relationship between network embeddedness and innovation performance. To some extent, such effects lead structural and positional embeddedness to be the best choice for enhancing the short-term performance of exploitative and explorative oriented R&D collaboration network respectively.
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