"资源导向"下中小企业集群网络演进的仿真研究

吕一博, 程露, 苏敬勤

科研管理 ›› 2013, Vol. 34 ›› Issue (1) : 131-139,146.

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科研管理 ›› 2013, Vol. 34 ›› Issue (1) : 131-139,146.
论文

"资源导向"下中小企业集群网络演进的仿真研究

  • 吕一博, 程露, 苏敬勤
作者信息 +

A simulation research on the network evolution for SMEs clusterfrom resource-oriented perspective

  • Lv Yibo, Cheng Lu, Su Jingqin
Author information +
文章历史 +

摘要

本文从关系嵌入和结构嵌入两个维度界定"资源导向"下的企业网络行为,并应用网络权力分布思想对不同"资源导向"下的企业网络行为进行规则仿真,构建中小企业集群网络演进的多主体仿真模型,对其演进规律和特征进行分析和探讨。本文研究表明,对于中小企业集群而言:(1)群内企业不同的共性行为,会导致不同的集群网络结构;(2)群内企业间的"力量差距"会随着集群的演进逐渐增大,但并非所有的集群都会出现主导企业;(3)集群网络的长期演进轨迹与集群初始状态无关,且群内会形成相对稳定的交流圈;(4)集群网络演进是一个自组织和自无序交替的过程,其系统稳定性主要受企业行为和演化时间的影响。

Abstract

A firm network behavior analysis framework is proposed from the resource-oriented perspective;the power distribution rules are applied to the regulations simulation of firm network behaviors, and a multi-agent simulation model on the network evolution of SMEs cluster is constructed. The results show that (1) the network structure of SMEs cluster is determined by the common network behavior. (2) With the network evolution of SMEs cluster, the disequilibrium of firm power distribution will be deteriorated, however the appearance of dominant firms is not inevitable. (3) The long term trajectory of evolution for SMEs cluster is irrelevant with the initial structure of the cluster, and it is destined to format subgroups during the evolution;(4) The network evolution of SMEs cluster is an alternate process of self-organizing and self-chaos, the determinants of system stability are firm behaviors and the duration of evolution.

关键词

网络演进 / 中小企业集群 / 资源导向 / 多主体仿真

Key words

network evolution / SMEs cluster / resource-oriented / multi-agent simulation

引用本文

导出引用
吕一博, 程露, 苏敬勤. "资源导向"下中小企业集群网络演进的仿真研究[J]. 科研管理. 2013, 34(1): 131-139,146
Lv Yibo, Cheng Lu, Su Jingqin. A simulation research on the network evolution for SMEs clusterfrom resource-oriented perspective[J]. Science Research Management. 2013, 34(1): 131-139,146
中图分类号: F276.3   

参考文献

[1] Gordon I R, McCann P. Industrial clusters: complexes, agglomeration and/or social networks[J].Urban Studies, 2000, 37(3): 513-532.
[2] Granovetter M. Economic action and social structure: the problem of embeddedness[J]. American Journal of Sociology, 1985, 91(3): 481-510.
[3] Keeble D, Lawson C. Collective learning processes, networking and institutional thickness in the Cambridge Region[J]. Regional Studies, 1999, 33(4): 305-317.
[4] Boari C, Lipparini A. Networks within industrial districts: organizing knowledge creation and transfer by means of moderate hierarchies[J]. Journal of Management and Governance, 1999, 3(4): 339-360.
[5] Breschi S, Malerba F. The geography of innovation and economic clustering: some introductory notes[J].Industrial and Corporate Change, 2001, 10(4): 817-833.
[6] Sorenson O. Social networks and industrial geography[J]. Journal of Evolutionary Economics, 2003, 13(5): 513-527.
[7] Chiles T H, Meyer A D, Hench T J. Organizational emergence: the origin and transformation of Branson, Missouri's musical theaters[J]. Organization Science, 2004, 15(5): 499-519.
[8] 谭劲松, 何铮. 复杂理论在集群领域的研究-基于东莞PC集群的初步探讨[J].管理世界, 2005(12): 108-115.
[9] 李旲, 曹宏铎. 集群演化网络模型与仿真研究[J]. 管理学报, 2010, 7(3): 453-461.
[10] Henderson R. The evolution of integrative capability: innovation in cardiovascular drug discovery[J]. Industrial and Corporate Change, 1994, 3(3): 607-630.
[11] 姚小涛, 王洪涛, 李武. 社会网络与中小企业成长模型[J].系统工程理论方法应用, 2004, 13(1): 49-53.
[12] 钱锡红, 杨永福, 徐万里. 网络位置、吸收能力与集群企业创新[J]. 经济管理, 2009, 31(7): 21-27.
[13] Krugman P. Increasing returns and economic geography[J]. Journal of Political Economy, 1991, 99(3): 483-499.
[14] Oliver J R. A machine-learning approach to automated negotiation and prospects for electronic commerce[J]. Journal of Management Information Systems, 1996, 13(3): 83-112.
[15] Coleman J S. Social capital in the creation of human capital [J]. The American Journal of Sociology, 1988, (94): 95-120.
[16] Burt R S. Structural holes:the social structure of competition[M]. Harvard University Press, 1992.
[17] Powell W W, Koput K W, Smith D L. Interorganizational collaboration and the locus of innovation:networks of learning in biotechnology[J]. Administrative Science Quarterly, 1996, 41(1): 16-45.
[18] Gulati R, Nohria N, Zaheer A. Strategic network [J]. Strategic Management Journal, 2000, 21(3): 203-215.
[19] Bathelt H. Geographies of production: growth regimes in spatial perspectives (II)-knowledge creation and growth in clusters[J]. Progress in Human Geography, 2005, 29(2): 204-216.
[20] 黄中伟. 基于网络结构的产业集群创新机制和绩效分析[J]. 宁波大学学报, 2004, 17(3): 94-98.
[21] 李志刚, 汤书昆, 梁晓燕, 赵林捷. 产业集群网络结构与企业创新绩效关系研究[J]. 科学学研究, 2007, 25(4): 777-782.
[22] Brenner T. Simulating the evolution of localized industrial clusters- an identification of the basic mechanisms[J]. Journal of Artificial Societies and Social Simulation, 2001, 4(3): 1-23.
[23] 田刚, 张永安. 集群创新网络演化的动力模型及其仿真研究[J]. 科研管理, 2010, 31(1): 104-115.
[24] Albino V, Carbonara N, Giannoccaro I. Industrial districts as complex adaptive systems:agent-based models of emergent phenomena . Industrial Clusters and Inter-Firm Networks, Northampton: Edward Elgar Publishing, 2005: 73-82.
[25] Bain J S. Industrial Organization(2nd Edition)[M]. New York, 1968.
[26] Rosenkopf L, Padula G. Investigating the microstructure of network evolution:alliance formation in the mobile communications industry[J]. Organization Science, 2008, 19(5): 669-687.
[27] 张学华, 邬爱其. 产业集群演进阶段的定量判定方法研究[J]. 工业技术经济, 2006, 25(4): 116-118.
[28] Lomi A. The population ecology of organizational founding: location dependence and unobserved heterogeneity[J]. Administrative Science Quarterly, 1995, 40(1): 111-144.
[29] 蔡宁, 吴洁兵. 产业集群企业网络体系:系统建构与结构分析[J]. 重庆大学学报(社会科学版), 2006, 12(2): 9-14.
[30] Lane D.A. Complexity and local interactions:towards a theory of industrial districts . Complexity and industrial clusters-dynamics and models in theory and practice. Springer, Berlin, 2002.
[31] 武松强, 石岿然. 集群创新的自组织机理研究[J]. 科技管理研究, 2008, 28(10): 259-261.
[32] 谭劲松, 何铮. 集群自组织的复杂网络仿真研究[J]. 管理科学学报, 2009, 12(4): 1-14.
[33] Shinoda K, Matsuo Y, Nakashima H. Emergence of global network property based on multi-agent voting model . Proceedings of the 6th International Joint Conference on Autonomous Agents and Multi-Agent Systems. New York: ACM, 2007: 66-73.
[34] Freeman L C. Centrality in social networks: conceptual clarification [J]. Social Networks, 1979, (1): 215-239.
[35] 汪小帆, 李翔, 陈关荣. 复杂网络理论及其应用[M]. 北京: 清华大学出版社, 2006.
[36] 谭跃进, 吴俊. 网络结构熵及其在非标度网络中的应用[J]. 系统工程理论与实践, 2004, 24(6): 1-3.
[37] Albert R, Jeong H, Barabási A L. Diameter of the world wide web[J]. Nature, 1999, (401): 130-131.
[38] Powell W W, White D R, Koput K W, Owen-Smith J. Network dynamics and field evolution: the growth of interorganizational collaboration in the life sciences[J]. American Journal of Sociology, 2005, 110(4): 1132-1205.
[39] Fujiwara Y, Aoyama H. Large-scale structure of a nation-wide production network [J]. The European Physical Journal B, 2010, 77(4): 565-580. (下转第146页)

基金

国家自然科学基金青年项目(基金号:70902032,2010-2012),国家自然科学基金重点项目(基金号:71033002,2011-2014),教育部博士点新教师基金(基金号:20090041120014,2010-2012),教育部人文社科青年基金(基金号:09YJC630015,2010-2012),辽宁省社会科学规划基金(基金号:L11BJY024,2012-2013),辽宁省社科联经济社会发展立项课题(项目号:2011lslktglx-30,2011-2012)。

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