期刊文献+

企业创新网络的复杂适应系统特征分析 被引量:27

Analysis on Characters of Complex Adaptive System in Enterprises' Innovation Network
下载PDF
导出
摘要 企业创新网络具有复杂性、分布性、异构型以及行为主体自身的自治性等特点,传统的还原论与数理统计方法已无法解释企业创新网络中的涨落、涌现等复杂现象,国内外学者开始从复杂适应系统的角度来研究企业创新网络.本文运用复杂适应系统的思想,在前人研究的基础上论述了企业创新网络特有的聚集、流、非线性和多样性等特征,以及作为复杂适应系统的企业创新网络的标识、内部模型及积木三个微观机制,分析了创新活动中的自组织与涌现现象,表明企业创新网络是一种复杂适应系统,为复杂适应系统理论在企业创新网络上的进一步应用提供了依据. The complex phenomena in enterprises' innovation network,such as fluctuation and emergence,can not be explained completely by traditional reductionism and statistical methods because of the network's complexity,distribution,heterogeneity and actors' autonomy.Therefore,domestic and foreign scholars have attempted to use complex adaptive systems theory to study the enterprises' innovation network.Based on previous literature,its applies complex adaptive system theory to illustrating unique characters of the enterprise innovation network — aggregation,flow,diversity and nonlinearity,as well as its three micro-mechanisms — tagging,internal model and building blocks when innovation network of enterprises is considered as a complex adaptive system,and expounds the self organization and emergence occurred in innovative activities.It indicates that enterprises' innovation network is just a complex adaptive system,and provides a base for future application of complex adaptive system theory to enterprises' innovation network.
机构地区 中南大学商学院
出处 《研究与发展管理》 CSSCI 北大核心 2010年第1期68-74,共7页 R&D Management
基金 国家软科学研究计划项目(2009GXS5D116)
关键词 企业创新网络 复杂适应系统 适应性 创新活动 enterprise's innovation network complex adaptive system adaptability innovative activities
  • 相关文献

参考文献18

二级参考文献64

  • 1陈守煜.系统模糊优选理论解水电站最优排序[J].大连理工大学学报,1989,29(1):99-108. 被引量:9
  • 2战培志,廖文和.企业知识管理中的知识共享建模技术[J].华南理工大学学报(自然科学版),2005,33(7):61-66. 被引量:8
  • 3李金华,孙东川,谢卓君.创新网络的结构与行为研究框架[J].科技进步与对策,2005,22(8):8-11. 被引量:12
  • 4OECD. National Innovation Systems [ R], 1997:10.
  • 5KASH D E, RYCOFT R W. Emerging parterns of complex technological innovation [ J ]. Technological Forecasting & Social Change,2002,69:581 - 606.
  • 6MALERBA F. Learning by Firms and Incremental Technical Change[ J ]. The Economic Journal, Vol.102,pp. 845 - 849 (1992).
  • 7PYKA A, SAVIOTTI P. Innovation Networks in the Biotechnology - Based Sectors [R]. (Project Paper of SEIN) (2000).
  • 8ULO KOWOL, GUNTER KUPPERS. Innovation Networks:A New Approach to Innovation Dynamics[R].SEIN Working Paper,2001.
  • 9Steinle C, Schiele H, When do industries cluster? A proposal on how to assess an industry's propensity to concentrate at a single region or nation, Research Policy 31, 2002.
  • 10安纳利·萨克森宁(美) 曹蓬 杨宇光译.硅谷优势[M].上海远东出版社,2000,6..

共引文献344

同被引文献450

引证文献27

二级引证文献169

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部