组织隐性知识提取的创新模型

Minrata Supanitchaisiri, Onjaree Natakuatoong, S. Sinthupinyo
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引用次数: 3

摘要

本研究旨在探讨传统的隐性知识提取方法存在的障碍,并提出一种新的组织隐性知识自提取方法。本研究选择了探索性研究,采用定性与定量相结合的研究方法。焦点小组访谈是用来获得定性信息,从24名高管和专家在知识管理,在五个组织。阿特拉斯。Ti用于分析焦点小组数据。定量数据是通过对参加知识管理研讨会的26名高管和知识管理专家的调查获得的。然后利用分析结果建立了隐性知识抽取模型。关键发现是,隐性知识提取的主要挑战是缺乏公司政策的确定性、缺乏动机、知识管理活动缺乏连续性、缺乏对学习环境的支持系统、缺乏参与、非支持性文化和行为、缺乏面试准备、隐性知识提取过程中的面试不连续、问题被误解以及缺乏经验的采访者缺乏经验。基于web的应用程序是问题的主要来源,这些问题包括主要问题和次要问题。
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The innovative model for extracting tacit knowledge in organisations
This research aimed to examine the obstacles of classical practices for extracting tacit knowledge, and to propose a new method of self-extracting tacit knowledge in organisations. This study opted for an exploratory study using the mixed methods research covering both qualitative and quantitative studies. The focus group interview was used to obtain qualitative information from 24 executives and experts in knowledge management, in five organisations. ATLAS.ti was used to analyse focus group data. The quantitative data was gained from a survey of 26 executives and KM experts who participated in the KM seminar. The result from the analysis was then used to develop a model of tacit knowledge extraction. The key finding is that major challenges of extracting tacit knowledge are lack of certainty of corporate policy, lack of motivation, lack of continuity in knowledge management activities, lack of a support system for the learning environment, lack of participation, non-supportive culture and behaviour, lack of preparation for interviewing, discontinuity in interviews during extraction of tacit knowledge, misinterpreted questioning, and inexperienced interviewers has a lack of experience. Web-based applications were the key source for the questions, which were comprised of both primary and secondary questions.
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来源期刊
International Journal of Knowledge Management Studies
International Journal of Knowledge Management Studies Decision Sciences-Information Systems and Management
CiteScore
1.90
自引率
14.30%
发文量
26
期刊介绍: “Knowledge as a key resource will contribute to improved organisational performance if it is properly leveraged and harnessed." IJKMS is a refereed and authoritative source of information in the field of knowledge management and related aspects. Topics covered include: -Knowledge creation, acquisition, codification, classification, organisation -Knowledge sharing, transfer, application, protection, retention -KM design and development -KM management and implementation -Measurement of knowledge management performance and benefits -Techniques and methods for managing knowledge -Technological tools for knowledge management, e.g. -knowledge bases, collaborative tools -expert/intelligent systems, knowledge mining/extraction -content/document management -portals, search and retrieval -e-learning, virtual reality, business intelligence, etc. -Human, organisational, strategic, behavioural, socio-cultural aspects -Public policy, economics, education policy, intellectual capital, ethics -Other related aspects of KM
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