隐性知识的传播途径:从模仿到创造

Weixu Ding, A. Aoyama, E. Choi
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引用次数: 4

摘要

知识分为显性知识和隐性知识两类。随着信息技术的发展,显性知识可以被编码并存储到数据库中。使用数据处理对隐性知识进行编码似乎很困难;因为一些来自个人经历和感受的隐性知识很难表达或写入文件。一些学者认为,隐性知识对组织成员解决问题具有重要价值。因此,本研究试图探索学习隐性知识的有效方法。受传统工匠从模仿到创造的学习方法的启发,本研究采用实证方法对131个来自中国企业的样本进行了分析,证明这种学习方法对当今的组织学习也有实际意义。研究结果表明,个体可以通过模仿、适应现状,然后创造新的想法来解决问题,从而学习隐性知识。本研究证明,适应性学习在模仿与创造的关系中起着中介作用。
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An approach to the diffusion of tacit knowledge: learning from imitation to creation
Knowledge has been classified into two types as explicit and tacit knowledge. With the development of information technology, explicit knowledge could be coded and stored into databases. It seems difficult to use data processing to code tacit knowledge; since some tacit knowledge from personal experience and feelings are tough to be expressed or written into the documents. Several scholars believe that tacit knowledge has essential value for organisational members' problem-solving. Hence, this research attempts to explore the efficient methods to learn tacit knowledge. Inspired by the traditional craftsmen's learning approach from imitation to creation, this research utilises empirical methods to analyse 131 samples from Chinese corporations and proves that this learning method also has practical meaning for today's organisational learning. The findings show that individuals can learn tacit knowledge via imitating, adapting to the current situation, and then creating new ideas to solve problems. This research has proved that adaptive learning has a mediational role in the relationship between imitation and creation.
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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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