Research on the Relationship between Knowledge Grey Generation and Innovation Performance in Knowledge-based Enterprises

被引：0
|
作者：
Wang Wenping [1 ]
Chen Yuqing [1 ]
Shan Haiyan [1 ]
Cheng, Yongbo [2 ]
机构：
[1] Southeast Univ, Econ & Management Sch, Nanjing, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing, Peoples R China
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2010) | 2010年
基金：
中国国家自然科学基金;
关键词：
knowledge-based enterprise; knowledge grey generation; innovation performance; innovation mode; PROCESS MANAGEMENT; ORGANIZATIONS; EXPLOITATION; EXPLORATION; PERSPECTIVE; INDUSTRY; FIRM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The knowledge grey generation process in knowledge-based enterprises consists of the merging, recombination, splitting and deletion of knowledge units, which is the smallest behavior unit of the transformation from internal knowledge to value. This paper establishes a knowledge grey generation model of the knowledge-based enterprises to study the relationship between knowledge grey generation and innovation performance. Through simulation analysis, it concludes that the knowledge grey generation strength can influence the innovation performance differently in the enterprises of different innovation modes. Specifically, in the initial stage of knowledge generation, the innovation performance increases with the knowledge grey generation strength; with time evolution, the innovation performance will be down after it gets the maximum; the rules of the relationship between knowledge grey generation strength and innovation performance are different under different innovation modes.
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页数：7
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