|
|
|
| Research on the Influence of Multi-level Innovation Network Structure Hole Characteristics on Organizational Innovation Performance |
| Wang Chongfeng1,Cui Yunzhou1,Shang Zhe2 |
| （1.School of Business,Qingdao University,Qingdao 266000,China;2.School of Government Management, Beijing Normal University,Beijing 100875,China） |
|
|
|
|
Abstract Based on the patent application data of China's new energy vehicle field from 1997 to 2019,this paper uses a complex network method to construct three types of innovation networks: organization collaboration network,member collaboration network,and knowledge mergence network,and quantifies the characteristics of the structural holes in the three types of networks. On this basis,the panel negative binomial regression model is used to empirically analyze the influence of the structural hole characteristics of organization cooperation network,member cooperation network and knowledge fusion network on organizational innovation performance. The research results show that: when only direct effects are considered,the structural hole characteristics of organizational collaboration networks and knowledge mergence networks have a significant positive impact on organizational innovation performance,and the characteristics of knowledge mergence network structure have a greater impact on organizational innovation performance; and after further considering the interaction,the two interaction items of organizational collaboration network,member collaboration network and knowledge mergence network structure hole feature have a significant positive impact on organizational innovation performance. Among them,the interaction between the member collaboration network and the knowledge mergence network has the strongest influence on the organization's innovation performance. After replacing structural hole features with clustering coefficient,the above research conclusions are still robust. Finally,based on the perspective of multi-level innovation network optimization,the corresponding policy recommendations are put forward.
|
|
Received: 14 October 2020
|
|
|
|
|
|
| [1] NAUMANEN M,UUSITALO T,HUTTUNEN-SAARIVIRTA E,et al. Development strategies for heavy duty electric battery vehicles: comparison between China,EU,Japan and USA[J]. Resources,Conservation and Recycling,2019（151）.[2] 马建,刘晓东,陈轶嵩,等.中国新能源汽车产业与技术发展现状及对策[J].中国公路学报,2018,31(8):1-19.[3] 品途商业评论.刀片电池:为磷酸铁锂技术提供更多可能[EB/OL].(2020-02-24)[2020-08-25].[4] DUBAL D P,AYYAD O,RUIZ V,et al. Hybrid energy storage: the merging of battery and supercapacitor chemistries[J]. Chemical Society Reviews,2015,44(7):1777-1790.[5] 宁德时代与比亚迪之争，以针刺论安全靠谱吗[J].汽车与配件,2020(11):54-55.[6] 佘承其,张照生,刘鹏,等.大数据分析技术在新能源汽车行业的应用综述——基于新能源汽车运行大数据[J].机械工程学报,2019,55(20):3-16.[7] 刘宏笪,孙华平,张茜.中国新能源汽车产业政策演化及执行阻滞分析——兼论双积分政策的协同实施[J].管理现代化,2019,39(4):41-46.[8] 何源,乐为,郭本海.“政策领域-时间维度”双重视角下新能源汽车产业政策央地协同研究[J].中国管理科学,2020(6):1-12.[9] 罗家德.中国治理：中国人复杂思维的9大原则[M].北京：中信出版社,2020.[10] SHEN J,CHEN J,FAN S. Knowledge networks,collaboration networks,and innovation: a replication and extension[J]. Academy of Management Annual Meeting Proceedings,2019,2019(1):18969.[11] 郭建杰,谢富纪,王海花,等.产学协同中自我中心网络动态性、区域间合作网络对企业创新的影响研究[J].管理学报,2019,16(7):1026-1034.[12] 王斌,郭清琳.知识网络断裂带形成演化过程研究——以郑州汽车工业知识网络为例[J].华东经济管理,2019,33(10):177-184.[13] 王崇锋,孙靖.知识基础调节下合作网络对绿色技术创新的影响[J].科技进步与对策,2020,37(12):1-9. [14] 谢其军,冯楚建,宋伟.合作网络、知识产权能力与区域自主创新程度:一个有调节的中介模型[J].科研管理,2019,40(11):85-94.[15] 罗鄂湘,韩丹丹.合作网络结构洞对企业技术创新能力的影响研究——以我国集成电路产业为例[J].工业技术经济,2018,37(3):44-50.[16] 李明星,苏佳璐,胡成.产学研合作中企业网络位置与关系强度对技术创新绩效的影响[J].科技进步与对策,2020,37(14):118-124.[17] 李秀坤,张友生,肖广岭.产学合作网络与高校学术绩效——来自清华大学的经验证据[J].软科学,2019,33(1):1-5.[18] 侯仁勇,严庆,孙骞,等.双重网络嵌入与企业创新绩效——结构视角的实证研究[J].科技进步与对策,2019,36(12):98-104.[19] MCEVILY B．ZAHEER A．Bridging ties: a source of firm heterogeneity in competitive capabilities[J]．Strategic Management Journal,1999，20(12):1133 -1156.[20] 厉娜,林润辉,谢在阳.多重网络嵌入下企业探索式创新影响机制研究[J].科学学研究,2020,38(1):169-179.[21] SCHILLING M A，PHELPS C C．Interfirm collaboration networks: the impact of large-scale network structure on firm innovation[J]．Management Science，2007,53 (7) : 1113-1126.[22] 李守伟,朱瑶.合作创新网络结构特征对企业创新绩效的影响研究——以新能源汽车产业为例[J].工业技术经济,2016,35(11):137-144.[23] AHUJA G. Collaboration networks,structural holes and innovation: a longitudinal study[J]. Academy of Management Proceedings,1998,1998(1):D1-D7.[24] YAN Y,ZHANG J J,GUAN J. Network embeddedness and innovation: evidence from the alternative energy field[J]. IEEE Transactions on Engineering Management,2019（8）:1-14.[25] 王崇锋,巩杰,晁艺璇.发明人网络嵌入性对创新产出影响研究——基于网络演化特征的中介机制[J].科技管理研究,2019,39(24):1-7.[26] 徐露允,曾德明,张运生.知识网络密度与双元创新绩效关系研究——基于知识基础多元度的调节效应[J].研究与发展管理,2018,30(1):72-80.[27] YAYAVARAM S,AHUJA G. Decomposability in knowledge structures and its impact on the usefulness of inventions and knowledge-base malleability[J]. Administrative Science Quarterly,2008,53(2): 333-362.[28] GUAN J,LIU N. Exploitative and exploratory innovations in knowledge network and collaboration network: a patent analysis in the technological field of nano-energy[J]. Research policy,2016,45(1):97-112.[29] WANG C,RODAN S,FRUIN M,et al. Knowledge networks,collaboration networks,and exploratory innovation[J]. Academy of Management Journal,2014,57(2):484-514.[30] 李健,余悦.合作网络结构洞、知识网络凝聚性与探索式创新绩效:基于我国汽车产业的实证研究[J].南开管理评论,2018,21(6):121-130.[31] BURT R S. Structural holes: the social structure of competition[M].Harvard：Harvard University Press,1992.[32] 张辉,苏昕.网络嵌入、动态能力与企业创新绩效——模糊集定性比较分析[J].科技进步与对策,2020,37（16）：1-10.[33] 李昕,杨皎平.联盟选择如何影响企业创新绩效——结构洞的中介作用[J].科技进步与对策,2020,37(15):80-88.[34] 孙笑明,崔文田,王乐.结构洞与企业创新绩效的关系研究综述[J].科学学与科学技术管理,2014,35(11):142-152.[35] RODAN S,GALUNIC C. More than network structure: how knowledge heterogeneity influences managerial performance and innovativeness[J]. Strategic Management Journal,2004,25(6):541-562.[36] BURT R S. The contingent value of social capital[J]. Administrative Science Quarterly,1997,42(2).[37] GIANLUCA C,JEROEN B. Knowledge specialization,knowledge brokerage,and the uneven growth of technology domains[J]. Social Forces,2009,88(2):607-641.[38] 王莉,程学旗.在线社会网络的动态社区发现及演化[J].计算机学报,2015,38(2):219-237．[39] KIM D J，KOGUT B．Technological platforms and diversification[J]．Organization Science,1996,7(3):283-301．[40] KOKA B R，PRESCOTT J E．Designing alliance networks: the influence of network position，environmental change，and strategy on firm performance[J]. Strategic Management Journal,2008,29(6):639-661[41] 陈雷,武宪云.企业内部合作网络对知识搜索的影响[J].中国软科学,2019，35(5):131-136.[42] STUART T E,PODOLNY J M. Local search and the evolution of technological capabilities[J]. Strategic Management Journal,2010,17(S1):21-38.[43] 刘铭,姚岳.企业技术创新绩效评价指标体系研究[J].甘肃社会科学,2014(4):233-236.[44] LAHIRI N,NARAYANAN S. Vertical integration,innovation,and alliance portfolio size: implications for firm performance[J]. Strategic Management Journal,2013,34(9): 1042-1064.[45] BURT R S. Structural holes: the social structure of competition[M]. Harvard：Harvard University Press,2009.[46] ZHANG J J,YAN Y,GUAN J C. Recombinant distance,network governance and recombinant innovation[J]. Technological Forecasting & Social Change,2019,143(7):260-272.[47] GUAN J,ZHANG J,YAN Y. The impact of multilevel networks on innovation[J]. Research Policy,2015,44(3):545-559.[48] BURT R S．Structural holes and good ideas [J]．American Journal of Sociology,2004（110）:349-399．[49] XIAO Z ,TSUI AS. When brokers may not work: the culture contingency of social capital in Chinese high-tech firms[J]. Administrative Science Quarterly, 2007, 52(1):1-31. |
|
|
|
