摘要翻译:
本文从理论和实证两个角度探讨知识管理与组织新的社区模式之间的联系。从理论的角度来看,我们研究实践社区和知识管理,并探讨两者之间的联系,因为它们涉及到使用信息系统来管理知识。我们首先回顾了技术支持的知识管理方法,并介绍了“帮助知识管理的系统”SAGC(帮助知识管理的系统)的思想。在此之后,我们考察了公共结构如CoPs对组织内知识管理的贡献,并强调了文献中发现的这种知识管理方法的一些“成功因素”。从实证的角度,我们给出了对法国12家大型企业的首席知识官(CKOs)的调查结果;这项研究的目的是确定可能影响这些方法成功的因素。该调查采用专题内容分析法进行分析,在此介绍调查结果,并引用CKOS中的一些简短说明性引文。最后,本文总结了从这两个角度来看待这一问题的一些思考。
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英文标题:
《An Analysis of Key Factors for the Success of the Communal Management of
Knowledge》
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作者:
Isabelle Bourdon and Chris Kimble
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最新提交年份:
2008
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分类信息:
一级分类:Computer Science 计算机科学
二级分类:Human-Computer Interaction 人机交互
分类描述:Covers human factors, user interfaces, and collaborative computing. Roughly includes material in ACM Subject Classes H.1.2 and all of H.5, except for H.5.1, which is more likely to have Multimedia as the primary subject area.
包括人为因素、用户界面和协作计算。大致包括ACM学科课程H.1.2和所有H.5中的材料,除了H.5.1,它更有可能以多媒体作为主要学科领域。
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一级分类:Computer Science 计算机科学
二级分类:Artificial Intelligence
人工智能
分类描述:Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域,除了视觉、机器人、机器学习、多智能体系统以及计算和语言(自然语言处理),这些领域有独立的学科领域。特别地,包括专家系统,定理证明(尽管这可能与计算机科学中的逻辑重叠),知识表示,规划,和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要:
This paper explores the links between Knowledge Management and new community-based models of the organization from both a theoretical and an empirical perspective. From a theoretical standpoint, we look at Communities of Practice (CoPs) and Knowledge Management (KM) and explore the links between the two as they relate to the use of information systems to manage knowledge. We begin by reviewing technologically supported approaches to KM and introduce the idea of "Systemes d'Aide a la Gestion des Connaissances" SAGC (Systems to aid the Management of Knowledge). Following this we examine the contribution that communal structures such as CoPs can make to intraorganizational KM and highlight some of 'success factors' for this approach to KM that are found in the literature. From an empirical standpoint, we present the results of a survey involving the Chief Knowledge Officers (CKOs) of twelve large French businesses; the objective of this study was to identify the factors that might influence the success of such approaches. The survey was analysed using thematic content analysis and the results are presented here with some short illustrative quotes from the CKOs. Finally, the paper concludes with some brief reflections on what can be learnt from looking at this problem from these two perspectives.
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PDF链接:
https://arxiv.org/pdf/0804.2844