Knowledge audit data gathering and analysis

E. Gourova, Y. Todorova
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引用次数: 11

Abstract

It has been discussed by researchers and practitioners that Knowledge Audit (KA) is an important tool for monitoring the effectiveness of Knowledge Management (KM) implementation. The KA aims at investigating the company status at a given moment regarding the knowledge availability and needs, its flow and usage in processes, by employees, etc. The concept of business patterns for Knowledge Audit was presented at a writers workshop of EuroPLoP 2009, where the patterns KNOWLEDGE AUDIT PLAN, KNOWLEDGE AUDIT TEAM, KNOWLEDGE AUDIT METHODOLOGY, KNOWLEDGE AUDIT QUESTIONNAIRE and KNOWLEDGE AUDIT REPORT were described. This paper continues the previous work and focuses on the patterns KNOWLEDGE AUDIT DATA GATHERING, KNOWLEDGE AUDIT ANALYSES OF RESULTS. Their value is supporting the decision-making process for ensuring greater use of knowledge strengths and the competitive advantages of the organization. In fact, a wider understanding of organizational interests, the global situation and processes could facilitate all employees to contribute better to the competitive position of the organization and the efficient management of its knowledge. In order not to reinvent the wheel, business patterns for Knowledge Audit could be applied in organizations.
知识审计数据的收集和分析
知识审计(Knowledge Audit, KA)是监测知识管理(Knowledge Management, KM)实施有效性的重要工具,已被研究者和实践者所讨论。KA的目的是调查公司在特定时刻的状态,包括知识的可用性和需求、其在流程中的流动和使用情况、员工等。在2009年EuroPLoP的作家研讨会上提出了知识审计业务模式的概念,并对知识审计计划、知识审计团队、知识审计方法、知识审计问卷和知识审计报告的模式进行了描述。本文在继承前人工作的基础上,重点研究了知识审计的模式、数据收集、结果分析。它们的价值在于支持决策过程,以确保更多地利用知识力量和组织的竞争优势。事实上,更广泛地了解组织利益、全球形势和过程,可以促进所有员工更好地为组织的竞争地位和有效地管理其知识做出贡献。为了避免重新发明轮子,可以在组织中应用知识审计的业务模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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