基于多Agent建模的技术创新联盟知识转移研究
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摘要
[目的/意义]知识转移是技术创新联盟研究领域中的热点之一。已有研究多习惯于将联盟主体同一化,然而现实的联盟成员之间具有差异性。这种差异性在知识转移策略上表现得尤为突出,即使同一主体的转移策略也会动态变化,研究主体知识转移策略及其影响因素对于提升技术创新联盟创新绩效有重要意义。[方法/过程]根据联盟主体转移策略调节依据的不同对主体进行分类,并采用有限状态机定义基于不同策略的状态转移矩阵,建立契合联盟主体动态反馈行为的技术创新联盟知识转移模型。[结果/结论]研究发现联盟中不同知识转移系数的主体数量在联盟合作初期变化较大,并伴随合作的深入而趋于稳定;联盟主体知识转移系数的调节周期越长,知识转移效果越好;调节依据对知识转移效果的影响较小。技术创新联盟的知识转移行为是动态变化的。要使联盟企业保持较高的知识转移系数,必须建立多个稳定的交流沟通渠道,加快知识在联盟主体之间的转移速率,增加联盟主体的收益。
[Purpose/significance]Knowledge transfer is a hot topic in the research of technology innovation alliance.Alliance members in most of the researches are been handled identically but they are diverse in reality.Different members have different knowledge transfer strategies and even a single member would change its strategy dynamically.Research on knowledge transfer strategy and influencing factors of knowledge transfer has important significance to promote innovation performance for technical innovation alliance.[Method/process]This paper classified alliance members based on their difference in the knowledge transfer strategy regulation basis and defined the state transition matrix of different strategies using the finite-state machine.Thus a knowledge transfer model for technology innovation alliance which could reflect the members' dynamic feedback to knowledge transfer is been built.[Result/conclusion]The result shows that the number of alliance for each knowledge transfer coefficient changes greatly in the initial phase of the collaboration,and tends to be stable with in-depth of the cooperation;the greater the regulating period,the better the knowledge transfer effect;while the regulating basis has little influence to the knowledge transfer effect.The knowledge transfer behavior of technology innovation alliance knowledge transfer behavior is dynamic.To make the alliance enterprises to maintain higher knowledge transfer coefficient must establish more stable communication channel,accelerate the transfer rate of knowledge between alliance members,and increase income of alliance members.
[Purpose/significance]Knowledge transfer is a hot topic in the research of technology innovation alliance.Alliance members in most of the researches are been handled identically but they are diverse in reality.Different members have different knowledge transfer strategies and even a single member would change its strategy dynamically.Research on knowledge transfer strategy and influencing factors of knowledge transfer has important significance to promote innovation performance for technical innovation alliance.[Method/process]This paper classified alliance members based on their difference in the knowledge transfer strategy regulation basis and defined the state transition matrix of different strategies using the finite-state machine.Thus a knowledge transfer model for technology innovation alliance which could reflect the members' dynamic feedback to knowledge transfer is been built.[Result/conclusion]The result shows that the number of alliance for each knowledge transfer coefficient changes greatly in the initial phase of the collaboration,and tends to be stable with in-depth of the cooperation;the greater the regulating period,the better the knowledge transfer effect;while the regulating basis has little influence to the knowledge transfer effect.The knowledge transfer behavior of technology innovation alliance knowledge transfer behavior is dynamic.To make the alliance enterprises to maintain higher knowledge transfer coefficient must establish more stable communication channel,accelerate the transfer rate of knowledge between alliance members,and increase income of alliance members.
引文
[1]吴想,杨洪涛.产学研合作创新知识转移影响因素分析及对策研究[J].科技管理研究,2009(9):360-362.
[2]张睿,于渤.技术联盟知识转移影响因素实证研究[J].科学学研究,2008,26(5):1025-1030.
[3]曹兴,宋娟,张伟,等.技术联盟网络知识转移影响因素的案例研究[J].中国软科学,2010(4):62-72.
[4]张睿,于渤,赖胜才.技术联盟组织间知识转移动因与类型研究[J].情报杂志,2010(10):143-146.
[5]曾德明,黄玉勇,禹献云.产业技术创新战略联盟知识转移障碍及对策研究[J].情报理论与实践,2012,35(2):64-67.
[6]曹兴,宋娟.技术联盟网络企业知识转移行为的仿真分析[J].研究与发展管理,2010,22(5):23-29.
[7]Cowan R,Jonard N,Ozman M.Knowledge dynamics in a network industry[J].Technology Forecasting&Social Exchange,2004,71(5):469-484.
[8]Cowan R,Jonard N.Network structure and the diffusion of knowledge[J].Journal of Economic Dynamics&Control,2004,28(8):1557-1575.
[9]Kim H,Park Y.Structure effects of R&D collaboration network on knowledge diffusion performance[J].Expert System with Applications,2009,36(5):8986-8992.
[10]唐方成,席酉民.知识转移与网络组织的动力学行为模式(Ⅰ)[J].系统工程理论与实践,2006(5):121-127.
[11]唐方成,席酉民.知识转移与网络组织的动力学行为模式(Ⅱ):吸收能力与释放能力[J].系统工程理论与实践,2006(9):83-89.
[12]陈娟,王文平.竞争性知识传播网络的影响因素及结构特征研究[J].科学学与科学技术管理,2008(11):87-91.
[13]蒋樟生,郝云宏.知识转移视角技术创新联盟稳定性的博弈分析[J].科研管理,2012,33(7):88-97.
[14]蒋樟生,胡珑瑛.产业技术创新联盟的知识转移效率模型[J].哈尔滨工程大学学报,2010,31(9):1265-1270.
[15]杨波.基于Multi-Agent仿真的知识转移行为演化博弈分析[J].人力资源管理,2013(6):69-71.
[16]王斌.小世界网络理论在交通网络中的应用研究[D].南京:南京航空航天大学,2003.
[17]郑耿忠,刘三阳,齐小刚.基于小世界网络模型的无线传感器网络拓扑研究综述[J].控制与决策,2010,25(12):1762-1768.
[18]汪孟艳,陈通.小世界网络在产学研知识流动中的应用述评[J].西安电子科技大学学报(社会科学版),2012,22(3):21-24.
[19]冯丰,王亮.产学研合作创新网络培育机制分析——基于小世界网络模型[J].中国软科学,2008(11):82-86.
[20]孙耀吾,卫英平.高技术企业联盟知识扩散研究——基于小世界网络的视角[J].管理科学学报,2011(12):17-26.
[2]张睿,于渤.技术联盟知识转移影响因素实证研究[J].科学学研究,2008,26(5):1025-1030.
[3]曹兴,宋娟,张伟,等.技术联盟网络知识转移影响因素的案例研究[J].中国软科学,2010(4):62-72.
[4]张睿,于渤,赖胜才.技术联盟组织间知识转移动因与类型研究[J].情报杂志,2010(10):143-146.
[5]曾德明,黄玉勇,禹献云.产业技术创新战略联盟知识转移障碍及对策研究[J].情报理论与实践,2012,35(2):64-67.
[6]曹兴,宋娟.技术联盟网络企业知识转移行为的仿真分析[J].研究与发展管理,2010,22(5):23-29.
[7]Cowan R,Jonard N,Ozman M.Knowledge dynamics in a network industry[J].Technology Forecasting&Social Exchange,2004,71(5):469-484.
[8]Cowan R,Jonard N.Network structure and the diffusion of knowledge[J].Journal of Economic Dynamics&Control,2004,28(8):1557-1575.
[9]Kim H,Park Y.Structure effects of R&D collaboration network on knowledge diffusion performance[J].Expert System with Applications,2009,36(5):8986-8992.
[10]唐方成,席酉民.知识转移与网络组织的动力学行为模式(Ⅰ)[J].系统工程理论与实践,2006(5):121-127.
[11]唐方成,席酉民.知识转移与网络组织的动力学行为模式(Ⅱ):吸收能力与释放能力[J].系统工程理论与实践,2006(9):83-89.
[12]陈娟,王文平.竞争性知识传播网络的影响因素及结构特征研究[J].科学学与科学技术管理,2008(11):87-91.
[13]蒋樟生,郝云宏.知识转移视角技术创新联盟稳定性的博弈分析[J].科研管理,2012,33(7):88-97.
[14]蒋樟生,胡珑瑛.产业技术创新联盟的知识转移效率模型[J].哈尔滨工程大学学报,2010,31(9):1265-1270.
[15]杨波.基于Multi-Agent仿真的知识转移行为演化博弈分析[J].人力资源管理,2013(6):69-71.
[16]王斌.小世界网络理论在交通网络中的应用研究[D].南京:南京航空航天大学,2003.
[17]郑耿忠,刘三阳,齐小刚.基于小世界网络模型的无线传感器网络拓扑研究综述[J].控制与决策,2010,25(12):1762-1768.
[18]汪孟艳,陈通.小世界网络在产学研知识流动中的应用述评[J].西安电子科技大学学报(社会科学版),2012,22(3):21-24.
[19]冯丰,王亮.产学研合作创新网络培育机制分析——基于小世界网络模型[J].中国软科学,2008(11):82-86.
[20]孙耀吾,卫英平.高技术企业联盟知识扩散研究——基于小世界网络的视角[J].管理科学学报,2011(12):17-26.