摘要
本文探求复杂技术创新中知识转移的特点,在此基础上讨论知识粘滞的类型。本文基于已有研究进行综述,结合理论演绎,认为:复杂技术创新过程中的知识分布具有复杂性,存在需要转移的知识长尾,由于难以转移而带来的知识粘滞具有Szulanski粘滞、Eppinger粘滞、Eppinger滑漏、von Hipple粘滞四种类型。本文指出复杂技术创新过程中存在需要转移的知识长尾和四种知识粘滞,对复杂技术创新中的知识管理有意义。
This paper explores the characteristics of knowledge-transfer in complex technology innovations and puts forward the taxonomy of knowledge stickiness. The paper is an overview based on research papers and deduction. Knowledge distribution in complex technology innovations is complex and there is a long-tail in the knowledge-transfer demand curve. The following four types of knowledge stickiness are advanced: Szulanski stickiness, Eppinger stickiness, Eppinger leakage and yon Hipple stickiness. Knowledge management in complex technology innovations could benefit from the findings of knowledge long-tail and four types of knowledge stickiness.
出处
《中国地质大学学报(社会科学版)》
CSSCI
北大核心
2010年第3期103-107,共5页
Journal of China University of Geosciences(Social Sciences Edition)
基金
国家自然科学基金资助项目(70502002)
教育部人文社会科学研究青年基金项目(05JC630077)
关键词
复杂技术创新
知识长尾
知识粘滞分类
complex technology innovation
knowledge long-tail
taxonomy of knowledge stickiness