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模块化网络中企业技术创新能力系统演进的驱动因素——基于知识网络和资源网络的视角
引用本文:郭立新,陈传明. 模块化网络中企业技术创新能力系统演进的驱动因素——基于知识网络和资源网络的视角[J]. 科学学与科学技术管理, 2010, 31(2)
作者姓名:郭立新  陈传明
作者单位:1. 南京大学管理学院,南京,210093;淮阴工学院经济管理学院,江苏,淮安,223001
2. 南京大学管理学院,南京,210093
基金项目:国家自然科学基金项目“企业家社会资本与企业绩效”(70872043);;教育部哲学社会科学创新基地项目“南京大学经济转型和发展中心”子课题“企业组织变革与战略转型研究”
摘    要:从知识和资源网络的分析视角,提出了一个理论框架和仿真模型,对企业技术创新能力系统演进的驱动因素进行了研究。结果表明:①企业内外因素对系统演化的影响必须依赖和通过企业知识、资源存量及结构。②知识和资源存量增加对系统演进的影响依赖于知识和资源结构优化度,在相同增加率的情况下,存量增加对系统的驱动力远小于结构优化度增加。③增加存量的内外驱动因素对系统的影响小于增加结构优化度的内外驱动因素。④企业知识和资源结构优化度是系统的核心驱动因素。⑤在投入约束下,企业应优先考虑提高企业知识和资源系统结构优化度。

关 键 词:模块化网络  企业技术创新能力  知识网络  资源网络  

The Driving Factors on the Evolution of the Enterprises' Technological Innovation Capabilities System in the Modular Networks-From the Perspectives of the Knowledge Networks and Resources Networks
GUO Lixin,CHEN Chuanming. The Driving Factors on the Evolution of the Enterprises' Technological Innovation Capabilities System in the Modular Networks-From the Perspectives of the Knowledge Networks and Resources Networks[J]. Science of Science and Management of S.& T., 2010, 31(2)
Authors:GUO Lixin  CHEN Chuanming
Affiliation:1.School of Management/a>;Nanjing University/a>;Nanjing 210093/a>;China/a>;2.School of Management/a>;Huaiyin Institute of Technology/a>;Huaian 223001/a>;China
Abstract:This paper puts forward a theoretical framework and the simulation model from the knowledge and resources networks'perspectives.studies the driving factors on the evolution of the enterprises'technological innovation capabilities.The results showed that:①The internal and external factors'influence on the system's evolution rely on or get through the stock and structure of the knowledge and resources in enterprises.②The influence on the system's evolution of the increase of the stock of knowledge and resources,depends on the optimization of the knowledge and resources'structure,at the same increasing rate,the stock's impetus is much smaller than the structure's on the evolution of the system.③The driving-factors which increase the camulate sum affects the system less than the factors which increase the structure's optimizing degree.④The structure optimizing of the enterprises'knowledge and resources is the core driving-factor of the system.⑤In the condition surviving investing-constraints,the enterprises should first make effort to enhance the structure optimizing level of their knowledge and resources system.
Keywords:modular networks  enterprises' technical innovation capabilities  knowledge networks  resources networks  
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