高技术企业联盟知识扩散研究——基于小世界网络的视角被引量：51

Study on knowledge diffusion of high-tech enterprise alliance from the small-world network perspective

下载PDF

导出

摘要知识通过网络可以加快扩散.作者基于NW小世界网络视角,构建高技术企业联盟知识扩散模型,揭示联盟的知识扩散特性,并运用MATLAB软件进行模拟仿真.研究发现,减小网络的特征路径长度、增大网络的集聚系数和提高成员间的知识交流频率是促进高技术企业联盟知识扩散、提高创新效率、加快知识创新的有效途径. Knowledge diffusion can be accelerated through the network. This paper constructs a knowledge diffusion model of high-tech enterprise alliance based on NW small-world network to reveal the characteristics of the alliance＇ s knowledge diffusion, and uses MATLAB software for simulation. The study indicates that reduction of characteristic path length of network, increase of network cluster coefficient and improvement of knowledge communication frequency between the members are active measures for promoting knowledge diffusion of high-tech enterprise alliances, enhancing innovation effectiveness and developing knowledge innovation.

作者孙耀吾卫英平

机构地区湖南大学工商管理学院

出处《管理科学学报》 CSSCI 北大核心 2011年第12期17-26,共10页 Journal of Management Sciences in China

基金国家自然科学基金资助项目(70572058) 国家社会科学基金资助项目(06BJY022) 教育部人文社会科学研究资助项目(09YJA790066)

关键词小世界网络高技术企业联盟知识扩散特征路径长度集聚系数知识交流频率 small-world network high-tech enterprise alliance knowledge diffusion characteristic path length clustering coefficient knowledge communication frequency

分类号 F204 [经济管理—国民经济]

引文网络
相关文献

参考文献21

1Zheng J F, Gao Z Y, Zhao X M. Modeling cascading failures in congested complex networks [ J ]. Physica A, 2007, 385 (2) : 700 - 706.
2Zakharov P. Diffusion approach for community discovering within the complex networks: Live journal study [ J ]. Physica A, 2007, 378(2): 550-560.
3杨玉兵,胡汉辉.网络结构与知识转移[J].科学学与科学技术管理,2008,29(2):123-127. 被引量：35
4Hsu C I, Shih H H. Small-world network theory in the study of network connectivity and efficiency of complementary international airline alliances [ J ]. Journal of Air Transport Management, 2008, 14 (3) : 123 - 129.
5Guseo R, Guidolin M. Modelling a dynamic market potential: A class of automata networks for diffusion of innovations[ J]. Technological Forecasting & Social Change, 2009, 76 (6) : 806 - 820.
6Chang S B, Lai K K, Chang S M. Exploring technology diffusion and classification of business methods : Using the patent citation network[ J ]. Technological Forecasting & Social Change, 2009, 76 (1) : 107 -117.
7Sorenson O, Rivkin J W, Fleming L. Complexity, networks and knowledge flow[ J]. Research Policy, 2006, 35 (7) : 994 -1017.
8赵正龙,陈忠,孙武军,李莉.具有差异化选择特征的复杂社会网络扩散研究[J].管理科学学报,2010,13(3):38-49. 被引量：15
9Wong L H. A spatial model for social networks[ J]. Statistical Mechanics and Its Applications, 2006, 360 (1) : 99 -120.
10Kilduff M, Crossland C, Tsai W, et al. Organizational network perceptions versus reality: A small world after all? [ J]. Organizational Behavior and Human Decision Processes, 2008, 107 (1) : 15 -28.