科研创新网络中知识扩散演化机制研究

科研管理 ›› 2015, Vol. 36 ›› Issue (7): 19-27.

科研创新网络中知识扩散演化机制研究

刘璇¹, 李嘉¹, 陈智高¹, 张朋柱², 范静³

1. 华东理工大学商学院, 上海 200237;
2. 上海交通大学安泰经济与管理学院, 上海 200052;
3. 北京外国语大学国际商学院, 北京 100089

收稿日期:2013-11-04 修回日期:2015-01-23 出版日期:2015-07-25 发布日期:2015-07-08
通讯作者: 李嘉
作者简介:刘璇(1982-),女(汉),湖北人,华东理工大学商学院副教授,研究方向:知识管理,电子健康。
李嘉(1980-),男(汉),湖南人,华东理工大学商学院副教授,研究方向:电子商务,知识管理。
陈智高(1953-),男(汉),上海人,华东理工大学商学院教授,研究方向:知识管理,信息系统。
张朋柱(1961-),男(汉),江苏人,上海交通大学安泰经管学院教授。研究方向:知识管理与创新,决策支持,电子商务。
范静(1980-),女(汉),山西人,北京外国语大学国际商学院副教授,研究方向:电子政务,信息共享。
基金资助:
国家自然科学基金项目“超网视角下科研网络中知识扩散机理研究”(#71101053,起止时间:2012.01-2014.12);国家自然科学基金项目“社会化媒体环境下电子健康知识挖掘研究”(#71471064,起止时间:2015.01-2018.12);国家自然科学基金项目“面向网络化创新外包的任务-人才在线匹配研究”(#71171131,起止时间:2012.01-2015.12);国家自然科学基金项目“我国电子政务标准的产生机制及采纳扩散机制”(#71103021,起止时间:2012.01-2014.12);中央高校基本科研业务费专项基金项目WN1323006。

Knowledge diffusion evolution mechanism in scientific innovation networks

Liu Xuan¹, Li Jia¹, Chen Zhigao¹, Zhang Pengzhu², Fan Jing³

1. Business School, East China University of Science and Technology, Shanghai 200237, China;
2. Antai College of Economics & Management, Shanghai Jiaotong University, Shanghai 200052, China;
3. International Business School, Beijing foreign Studies University, Beijing 100089, China

Received:2013-11-04 Revised:2015-01-23 Online:2015-07-25 Published:2015-07-08

摘要/Abstract

摘要： 从社会资本视角来看, 创新网络中知识扩散的实质是一种社会交换, 网络中的知识扩散受社会关系网络中个体位势的影响。研究从微观视角切入, 探讨科研网络中的知识主体对其知识扩散的动态影响机制。选取度中心度、Bonacich Power中心度、效率结构洞、中介中心度四种SNA算法, 从知识的多样性、传递路径的非确定性和平行复制三个属性对比各SNA算法所暗含的知识扩散特征, 对科研网络中知识扩散机制提出假设, 选取国内知识管理领域发表于1998-2011年的CSSCI数据, 利用Cox 比例风险模型构建生存分析模型, 研究各SNA算法对该领域知识扩散演化机制的解释程度。研究发现占据“结构洞”位置和度数中心度高的权威个体在知识管理领域知识扩散中发挥最为重要的作用;该领域主要通过团队成员间的平行复制和不同团队间的知识多样化融合来实现知识的扩散与创新。

关键词: 科研网络, 知识扩散, 生存分析, COX模型, 效率结构洞

Abstract: From the social capital perspective, knowledge diffusion in the innovation network is essentially social exchange among inventors. Individuals in scientific networks have a choice in selecting knowledge that is recombined to solve problems or produce new innovations, relying on their interpersonal networks. And this selecting process is influenced by the status of scientists. This research used four social network analysis methods (degree centrality, Bonacich Power, structural holes and betweenness centrality), investigated different knowledge diffusion characteristics (knowledge diversity, random diffusion and parallel duplication) behind those SNA methods, and proposed knowledge diffusion hypothesis in scientific networks. Using CSSCI data span from the years of 1998-2011 in the knowledge management field in China, we examined the temporal relationship between individual status and knowledge diffusion using the COX Proportional Hazards Models. The results showed that individuals occupying boundary spanning positions and having more collaborators played the most important roles in the knowledge diffusion process in this field. And the primary knowledge diffusion in this field was achieved by parallel duplication through team collaboration, and recombination of diversity of knowledge from different scopes or teams.

Key words: scientific network, knowledge diffusion, survival analysis, cox model, structural holes efficiency

中图分类号:

G206.3

刘璇, 李嘉, 陈智高, 张朋柱, 范静. 科研创新网络中知识扩散演化机制研究[J]. 科研管理, 2015, 36(7): 19-27.

Liu Xuan, Li Jia, Chen Zhigao, Zhang Pengzhu, Fan Jing. Knowledge diffusion evolution mechanism in scientific innovation networks[J]. Science Research Management, 2015, 36(7): 19-27.

参考文献

[1] 蒋军锋, 张玉韬, 王修来.知识演变视角下技术创新网络研究进展与未来方向[J].科研管理, 2010, 30(3):68-77+133.Jiang Junfeng,Zhang Yutao,Wang Xiulai.Progress and future agenda for the technological innovation network in the view of knowledge evolution[J].Science Research Management,2010,30(3):68-77+133. [2] Meyer M.S.Patent citation analysis in a novel field of technology:An exploration of nano-science and nanotechnology [J].Scientomerics,2001,51(1):163-183. [3] Podolny, J.M.,& Stuart,T.E.A role-based ecology of technological change [J].American Journal of Sociology,1995,100(5):1224-1260. [4] Cowan R,Jonard N.Network structure and the diffusion of knowledge [J].Journal of Economic Dynamics& Control,2004,28(8):1557-1575. [5] Lin, X.Identifying peer effects in student academic achievement by a spatial autoregressive model with group unobservable [J].Journal of Labor Economics,2010,28:825-860. [6] 李志宏, 朱桃.基于加权小世界网络模型的实践社区知识扩散研究[J].软科学, 2010, 24(2):51-55.Li ZhiHong,Zhu Tao.Research on the network diffusion of communities of practice based on the weighted small-world network model[J].Soft Science,2010,24(2):51-55. [7] 朱亚丽, 徐青, 吴旭辉.网络密度对企业间知识转移效果的影响——以转移双方企业意愿为中介变量的实证研究[J].科学学研究, 2011, 29(3):427-431.Zhu Yali,Xu Qing,Wu Xuhui.An empirical research on the effect of network density on inter-enterprise knowledge transfer:The mediating effect of willingness of two parties[J].Studies in Science of Science,2011,29(3):427-431. [8] Singh J.External collaboration,social networks and knowledge creation:Evidence from scientific publications[C]//Danish Research Unit of Industrial Dynamics Summer Conference.2007:1-43. [9] Deroian, F.Formation of social networks and diffusion of innovations [J].Research Policy,2002,31(5):835-846. [10] 党兴华, 李莉.技术创新合作中基于知识位势的知识创造模型研究[J].中国软科学, 2005(11):143-148.Dang Xinghua,Li li.Research on knowledge creation model in the technology innovation cooperation based on the perspective of knowledge potential[J].China Soft Science,2005(11):143-148. [11] 蒋军锋, 党兴华, 刘兰建.基于现代场理论的技术创新网络知识测度研究[J].中国软科学, 2007(3):22-29.Jiang Junfeng,Dang Xinghua,Liu lanjian.Research on the characters of knowledge measurement of techno——innovation network based on modern field theory[J].China Soft Science,2007(3):22-29. [12] Burt R S.Structural holes:The social structure of competition [M].Cambridg e,MA:Harvard Univer sity Press,1992. [13] Singh J.Collaborative networks as determinants of knowledge diffusion patterns [J].Management science,2005,51(5):756-770. [14] Nerkar,A.,& Paruchuri,S.Evolution of R&D capabilities:The role of knowledge networks within a firm [J].Management Science,2005,51(5):771-785. [15] Liu X,Kaza S,Zhang P,et al.Determining inventor status and its effect on knowledge diffusion:A study on nanotechnology literature from China,russia,and india [J].Journal of the American Society for Information Science and Technology,2011,62(6):1166-1176. [16] Borgatti S P.Centrality and network flow [J].Social networks,2005,27(1):55-71. [17] Kaza S,Chen H.Identifying high-status nodes in knowledge networks [M]//Data Mining for Social Network Data.Springer US,2010:91-107. [18] Freeman L C.Centrality in social networks:Conceptual clarification [J].Social Networks.1979,(1):225-239. [19] Newman M E J.A measure of betweenness centrality based on random walks [J].Social Networks,2005,27(1):39-54. [20] Fleming L,King C,Juda A I.Small worlds and regional innovation [J].Organization Science,2007,18(6):938-954. [21] Noh J D,Rieger H.Stability of shortest paths in complex networks with random edge weights [J].Physical Review E,2002,66(6):066127. [22] Bonacich,P.Power and centrality:A family of measures[J].American Journal of Sociology,1987:1170-1182. [23] Sorenson,O.,Stuart T.E.Syndication networks and the spatial distribution of venture capital investments [J].American Journal of Sociology,2001,106(6):1546-1588. [24] Kretschmer H,Isidro F A.Visibility of collaboration on the web [J].Scientometrics,2004,61(3):405-426. [25] Melin G,Pearson O.Studying research collaboration using co-authorship [J].Scinetometrics,1996,36(3):363-377. [26] Rappa M A,Garud R.Modeling contribution-spans of scientists in a field:The case of cochlear implants [J].R&D Management,1992,22(4):337-348. [27] Cox D R.Regression models and life-tables [J].Journal of the Royal Statistical Society.Series B (Methodological),1972:187-220. [28] Zhang W,Ota T,Shridhar V,et al.Network-based survival analysis reveals subnetwork signatures for predicting outcomes of ovarian cancer treatment[J].PLoS computational biology,2013,9(3):1-16. [29] Light J M,Greenan C C,Rusby J C,et al.Onset to first alcohol use in early adolescence:A network diffusion model [J].Journal of Research on Adolescence,2013,23(3):487-499. [30] 黄健柏, 白冰, 曹裕.企业和行业特征对湖南企业生存年限影响的实证研究[J].系统工程理论与实践, 2010(5):812-826.Huang Jianbo,Bai Bing,Cao Yu.Empirical study of the impact of enterprise characteristics and individual characteristics on survival length of hunan enterprises[J].Systems Engineering——Theory & Practice,2010(5):812-826. [31] Centola D.The spread of behavior in an online social network experiment [J].Science,2010,329(5996):1194-1197. [32] Ahuja,G.Collaboration networks,structural holes,and innovation:A longitudinal study [J].Administrative Science Quarterly,2000,45(3):425-455.