摘要
通过建构知识群落概念模型,能够全面揭示知识群落概念本质,进而有助于破解知识群落的内部结构规律与调节规律,促进第三代知识管理理论体系的建立,推动认识规律、创新规律与知识规律研究的深入发展。又经分析发现,目前文献并没有完整的界定知识群落概念本质。为此,采用仿生学演绎,由生物群落概念模型推理建立了知识群落概念模型,经实证研究,该模型揭示了知识群落概念本质,包括时间、区域社会环境与知识种群3个维度,演替与波动2种动态。并由此推导出了知识群落研究的新思维与内容。该研究是现有成果的突破,是基于仿生学发现的重要基础理论,适用于信息与知识相关研究领域,具有重要科学意义与应用价值。
Through constructing the model for the concept of knowledge community,the nature of such concept can be entirely revealed.And it is therefore helpful to explain the internal structural and regulatory rules of knowledge community,to promote the establishment of the third generation of theoretical system for knowledge management,and to improve the recognition and innovation of rules and the further development of researches on knowledge rules.Through analysis,it is found that currently,the nature of the concept of knowledge community has not been entirely defined in any references.Therefore,in this paper,with the adoption of the methods of bionic deduction,the model for the concept of knowledge community is constructed through reasoning from the conceptual model of bioogcal community.After corroborative research,such model reveals the nature of the concept of knowledge community,including such 3 dimensions as time,region and social environment and such 2 dynamic states as succession and fluctuation,form which,new thoughts and contents for the research of knowledge community are acquired through deduction.Based on the imporan basic theories of bionics findings,this research represents a breakthrough for the existing achievements,and can be applied to relevant domains of information and knowledge research,thus bearing imporan scientific significances and practical values.
出处
《科学学研究》
CSSCI
北大核心
2010年第10期1445-1453,共9页
Studies in Science of Science
关键词
第三代知识管理
知识群落
仿生学演绎
实证研究
概念模型
生物群落
知识秩序
the third generation of knowledge management
knowledge community
bionic deduction
corroborative research
conceptual model
bioogcal community
knowledge order
