{"title":"隐性知识的传播途径:从模仿到创造","authors":"Weixu Ding, A. Aoyama, E. Choi","doi":"10.1504/ijkms.2020.10027653","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":39285,"journal":{"name":"International Journal of Knowledge Management Studies","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An approach to the diffusion of tacit knowledge: learning from imitation to creation\",\"authors\":\"Weixu Ding, A. Aoyama, E. Choi\",\"doi\":\"10.1504/ijkms.2020.10027653\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":39285,\"journal\":{\"name\":\"International Journal of Knowledge Management Studies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2020-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Knowledge Management Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijkms.2020.10027653\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Knowledge Management Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijkms.2020.10027653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
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.
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