“纵向交叉”型创新网络中新兴技术企业知识协同演化的仿真研究
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摘要
基于复杂网络和创新网络的概念,对创新网络中核心主体的知识协同及其演化活动进行了仿真分析。通过构建知识协同演化模型,设置知识主体的协同行为策略和创新网络结构更新规则,模拟新兴技术企业与学研机构间知识协同活动的动态变化,研究在"纵向交叉"型创新网络中,核心主体间的知识协同及其演化活动对主体及整体网络的知识水平、知识增长率、合作水平以及协同效益的影响。研究发现:在固定主体策略和网络结构下,具有更多积极知识主体的创新网络更有利于知识协同;在固定主体策略下,网络结构更新越快,知识协同效果越好;主体策略和网络结构同时发生变化时,知识主体较快的策略更新速度伴随较快的网络结构更新速度更有利于形成较好的知识协同效果。
Based on the theory of complex network and innovation network and constructing the model of knowledge coevolution, this article sets up collaborative behavior strategies of innovators and rules for updating the structure of innovative networks and simulates the dynamic changes of the knowledge collaborative activities among emerging technology enterprises, universities and scientific research institutions. It analyzes the influence of knowledge synergy and evolution among the core innovators on the knowledge level, knowledge growth rate, cooperation level and synergistic benefit of the innovators and the whole network from the perspective of "vertical-cross" innovation network.The results are as follows: Under the background of fixed subject strategy and network structure, the innovation network with more active knowledge subjects is more conducive to knowledge collaboration. Under the background of fixed subject strategy, the faster the network structure updates, the better the effect of knowledge synergy will be. If the subject strategy and network structure are updated at the same time, the faster updating speed of the strategy accompanied by the faster updating speed of the network structure is more conducive to forming the better knowledge synergy effect.
Based on the theory of complex network and innovation network and constructing the model of knowledge coevolution, this article sets up collaborative behavior strategies of innovators and rules for updating the structure of innovative networks and simulates the dynamic changes of the knowledge collaborative activities among emerging technology enterprises, universities and scientific research institutions. It analyzes the influence of knowledge synergy and evolution among the core innovators on the knowledge level, knowledge growth rate, cooperation level and synergistic benefit of the innovators and the whole network from the perspective of "vertical-cross" innovation network.The results are as follows: Under the background of fixed subject strategy and network structure, the innovation network with more active knowledge subjects is more conducive to knowledge collaboration. Under the background of fixed subject strategy, the faster the network structure updates, the better the effect of knowledge synergy will be. If the subject strategy and network structure are updated at the same time, the faster updating speed of the strategy accompanied by the faster updating speed of the network structure is more conducive to forming the better knowledge synergy effect.
引文
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[16]吕可文,苗长虹,王静,等.协同演化与集群成长——河南禹州钧瓷产业集群的案例分析[J].地理研究,2018,37(7):1 320-1 333.
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[23]陈伟,杨早立,张永超.网络结构与企业核心能力关系实证研究:基于知识共享与知识整合中介效应视角[J].管理评论,2014,26(6):74-82.
[24]解学梅.创新集群跨区域协同创新网络对企业创新绩效的影响机制[C]//上海市社会科学界联合会.中国梦:道路·精神·力量——上海市社会科学界第十一届学术年会文集(2013年度).上海市社会科学界联合会:上海市社会科学界联合会,2013:31.
[25]王茂军,杨雪春.四川省制造产业关联网络的结构特征分析[J].地理学报,2011,66(2):212-222.
[26] Mcneill K L,Krajcik J. Synergy Between Teacher Practices and Curricular Scaffolds to Support Students in Using DomainSpecific and Domain-General Knowledge in Writing Arguments to Explain Phenomena[J]. Journal of the Learning Sciences,2009,18(3):416-460.
[27]王成,王茂军.山东省城市关联网络演化特征——基于“中心地”和“流空间”理论的对比[J].地理研究,2017,36(11):2 197-2 212.
[28] Hanaki N,Peterhansl A,Dodds P S,et al.Cooperation in evolving social networks[J]. Management Science,2007,3(7):1 036-1 050.
[29]卜心怡,张辰鸿,桑滨.客户—企业知识协同演化研究——基于主体策略和网络结构更新视角[J].科学学研究,2014,32(7):1 070-1 080.
[30] Muammer Ozer,Wen Zhang. The effects of geographic and network ties on exploitative and exploratory product innovation[J]. Strategic Management Journal,2015,36(7):1 105-1 114.
[31]李恒,杜德斌,肖刚.区域知识创新系统中科技创新与高等教育的融合关系研究——基于长三角城市群的案例研究[J].上海经济研究,2015(5):86-94.
[2]万君,全力,顾新.基于合作博弈的知识网络协同创新合作机制研究[J].情报科学,2015,33(10):32-35.
[3] Karlenzig W. Tap into the power of knowledge collaboration[EB/OL]. Dimension Data,http://www.tmcnet.com,2002.
[4] Leijen H V,Baets W R J. A cognitive framework for reengineering knowledge-intensive processes[C]. Proceedings of the 36th Hawaii International Conference on System Sciences(HICSS'03),Hawaii,USA,2002.
[5] Anklam P. Knowledge management:the collaboration thread[J]. Bulletin of the American Society for Information Scienceand Technology,2002,28(6):8-11.
[6]倪颖杰,许建新,恒永兴.敏捷制造企业工艺信息系统中的知识协同[J].企业信息化,2003(1):56-58.
[7]陈昆玉,陈昆琼.论企业知识协同[J].情报科学,2002,20(9):986-989.
[8]野中郁次郎,竹弘内高.知识创造的螺旋[M].李萌,译.北京:知识产权出版社,2006.
[9]樊治平,冯博,俞竹超.知识协同的发展及研究望[J].科学学与科学技术管理,2007(11):85-91.
[10]李丹.基于产业集群的知识协同行为及管理机制研究[M].北京:法律出版社,2009.
[11]汪良兵.区域创新网络结构与协同演化研究[D].合肥:中国科学技术大学,2014.
[12] McKelvey M. Using evolutionary theory to the systems of innovation[C]//Ed-quist C(ed). Systems of Innovation&Technologies,Institutions and Organizations. London:A Cassell imprint,1997:67.
[13] Lewin A Y,Volberda H W. Prolegomena on co-evolution:A framework for research on strategy and new organizational forms[J]. Organization Science,1999(5):520.
[14] Murmann J P. Knowledge and competitive advantage:The coevolution of firms,technology,and national institutions[M].Cambridge:Cambridge University Press,2003.
[15]胡杨,李郇.多维邻近性对产学研合作创新的影响——广州市高新技术企业的案例分析[J].地理研究,2017,36(4):695-706.
[16]吕可文,苗长虹,王静,等.协同演化与集群成长——河南禹州钧瓷产业集群的案例分析[J].地理研究,2018,37(7):1 320-1 333.
[17]郭燕燕,杨朝峰,封颖.网络位置、地理临近性对创新产出影响的实证研究[J].中国科技论坛,2017(2):127-134.
[18] Gilsing V,Nooteboom B. Density and strength of ties in innovation networks:an analysis of multimedia and biotechnology[J]. European Management Review,2005,2(3):179-197.
[19] Siu W S,Bao Q. Network Strategies of Small Chinese HighTechnology Firms:A Qualitative Study[J]. Journal of Product Innovation Management,2008,25(1):79-102.
[20]吴传荣,陈英武.高技术企业技术创新网络中知识转移时间优化研究[J].系统工程理论与实践,2013,33(4):955-962.
[21]宓泽锋,曾刚.创新松散型产业的创新网络特征及其对创新绩效的影响研究——以长江经济带物流产业为例[J].地理研究,2017,36(9):1 653-1 666.
[22]刘向,马费成,王晓光.知识网络的结构及过程模型[J].系统工程理论与实践,2013,33(7):1 836-1 844.
[23]陈伟,杨早立,张永超.网络结构与企业核心能力关系实证研究:基于知识共享与知识整合中介效应视角[J].管理评论,2014,26(6):74-82.
[24]解学梅.创新集群跨区域协同创新网络对企业创新绩效的影响机制[C]//上海市社会科学界联合会.中国梦:道路·精神·力量——上海市社会科学界第十一届学术年会文集(2013年度).上海市社会科学界联合会:上海市社会科学界联合会,2013:31.
[25]王茂军,杨雪春.四川省制造产业关联网络的结构特征分析[J].地理学报,2011,66(2):212-222.
[26] Mcneill K L,Krajcik J. Synergy Between Teacher Practices and Curricular Scaffolds to Support Students in Using DomainSpecific and Domain-General Knowledge in Writing Arguments to Explain Phenomena[J]. Journal of the Learning Sciences,2009,18(3):416-460.
[27]王成,王茂军.山东省城市关联网络演化特征——基于“中心地”和“流空间”理论的对比[J].地理研究,2017,36(11):2 197-2 212.
[28] Hanaki N,Peterhansl A,Dodds P S,et al.Cooperation in evolving social networks[J]. Management Science,2007,3(7):1 036-1 050.
[29]卜心怡,张辰鸿,桑滨.客户—企业知识协同演化研究——基于主体策略和网络结构更新视角[J].科学学研究,2014,32(7):1 070-1 080.
[30] Muammer Ozer,Wen Zhang. The effects of geographic and network ties on exploitative and exploratory product innovation[J]. Strategic Management Journal,2015,36(7):1 105-1 114.
[31]李恒,杜德斌,肖刚.区域知识创新系统中科技创新与高等教育的融合关系研究——基于长三角城市群的案例研究[J].上海经济研究,2015(5):86-94.