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| Research on the Influence of Enterprise Network Position and Relationship Intensity on Technological Innovation Performance in IUR Cooperation |
| Li Mingxing1,Su Jialu1,Hu Cheng2 |
| (1. School of Management, Jiangsu University, Zhenjiang 212013, China;2.International College of Intellectual Property, Tongji University,Shanghai 200092,China) |
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Abstract Taking the Jiangsu-Zhejiang-Shanghai A-share listed company as the research object, the DEA model is used to measure the performance of enterprise technology innovation. From the perspective of network location and network relationship, the empirical test of the enterprise network location and relationship intensity in the industry-university-research (IUR) cooperation on the technological innovation performance of enterprises influences is provided. The research shows that the central position of the network, that is, the degree of centrality, inhibits the improvement of the technological innovation performance of the enterprise to some extent; the enterprise network intermediary position, that is, the intermediate center degree, has a significant positive effect on the technological innovation performance; the network relationship intensity has a significant positive effect on the enterprise technology innovation performance. Finally, the corresponding countermeasures and suggestions are given accordingly.
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Received: 22 April 2020
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| [1] BURT R S, MINOR M J. Applied network analysis: a methodological introduction[J]. Canadian Journal of Sociology,1983,63(3):158-174.[2] 刘军.整体网分析讲义:UCINET软件实用指南[M].上海:格致出版社, 2009.[3]FERRIANI,SIMONE,CATTANI,et al.The relational antecedents of project-entrepreneurship: network centrality,team composition and project performance[J]. Research Policy, 2009, 38(10):1545-1558.[4]谢洪明, 冯建新, 程聪. 网络中心性对技术创新的影响:知识流出的视角[J]. 技术经济, 2011, 30(7):14-18.[5]陈伟, 张永超, 田世海. 区域装备制造业产学研合作创新网络的实证研究——基于网络结构和网络聚类的视角[J]. 中国软科学, 2012, 30(2):600-607.[6]李敏, 刘晨韵, 程杨,等. 网络位置与高新技术企业创新绩效——以江西省为例[J]. 华东经济管理, 2017, 31(8):25-33.[7]戴勇, 朱桂龙, 刘荣芳. 集群网络结构与技术创新绩效关系研究:吸收能力是中介变量吗[J]. 科技进步与对策, 2018，35(9):22-28.[8]ZAHEER A, BELL G. Benefiting from network position: firm capabilities, structural holes, and performance[J]. Strategic Management Journal, 2005, 26(9):809-825.[9]MCEVILY B, ZAHEER A. Bridging ties: a source of firm heterogeneity in competitive capabilities[J]. Strategic Management Journal, 2015, 20(12):1133-1156.[10] 曾婧婧, 刘定杰. 生物医药产业集群网络嵌入性、网络结构与企业创新绩效[J]. 中国科技论坛, 2017，38(5):49-56.[11] 佘茂艳,王元地,杨雪.双向创新网络、网络特征及区域创新绩效[J].软科学,2018,32(11):59-64.[12] THOMAS RITTER, HANS GEORG GEMüNDEN. Network competence: its impact on innovation success and its antecedents[J]. Journal of Business Research, 2003, 56(9):745-755.[13] 谢洪明, 张霞蓉, 程聪,等. 网络关系强度、企业学习能力对技术创新的影响研究[J]. 科研管理, 2012, 33(2):55-62.[14] 朱霞, 路正南. KIBS企业嵌入强度对科技型小微企业技术创新绩效影响研究[J]. 科技进步与对策, 2014，31(15):142-146.[15] 吴晓云, 王建平. 网络关系强度对技术创新绩效的影响——不同创新模式的双重中介模型[J].科学学与科学技术管理,2017,38(7):155-166.[16] 王建平, 吴晓云. 竞合视角下网络关系强度、竞合战略与企业绩效[J]. 科研管理, 2019, 40(1):121-130.[17] 唐翌. 网络互惠性对高校跨区域技术转移绩效的影响研究[D].合肥：中国科学技术大学,2017.[18] 胡欣悦, 汤勇力, 王国庆, 等. 研发国际化、跨国知识网络与研发单元创新绩效——基于华为PCT专利(2002-2013年)的面板数据分析[J]. 系统工程理论与实践, 2018, 38(12):134-149.[19] IWASA T,ODAGIRI H.Overseas R&D,knowledge sourcing, and patenting:an empirical study of Japanese R&D investment in the US [J].Research Policy,2004,33(5):807-828.[20] 李明星, 何娣, 张慜, 等. 知识产权促进战略性新兴产业发展实证研究——以江苏省为例[J]. 科技进步与对策, 2013, 30(9):54-59.[21] 刘岩,蔡虹. 企业知识基础网络结构与技术创新绩效的关系——基于中国电子信息行业的实证分析[J].系统管理学报, 2012, 21(5):655-661. |
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