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

• 论文 • 上一篇    下一篇

"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   

  1. 大连理工大学管理与经济学部,辽宁 大连 116023
  • 收稿日期:2011-08-31 修回日期:2012-02-17 出版日期:2013-01-27 发布日期:2013-01-19
  • 基金资助:
    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)。

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

Lv Yibo, Cheng Lu, Su Jingqin   

  1. Faculty of Management and Economics, Dalian University of Technology, Dalian 116023, China
  • Received:2011-08-31 Revised:2012-02-17 Online:2013-01-27 Published:2013-01-19

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。

关键词: 网络演进, 中小企业集群, 资源导向, 多主体仿真

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.

Key words: network evolution, SMEs cluster, resource-oriented, multi-agent simulation

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