Cláudio Roberto do Rosário, Fernando Gonçalves do Amaral
{"title":"INFLUENCE FACTORS OF THE TACIT KNOWLEDGE ELICITATION PROCESS: SYSTEMATIC LITERATURE REVIEW","authors":"Cláudio Roberto do Rosário, Fernando Gonçalves do Amaral","doi":"10.47916/ijkem-vol9n25-2020-83301","DOIUrl":null,"url":null,"abstract":"Goal: This systematic review aimed at highlighting and performing an integrated discussion of the factors of the tacit knowledge elicitation process. \nDesign/Methodology/Approach: The research method adopted in this study was (PRISMA) Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The databases, Science Direct, Web of Science, Scopus, and Emerald Insight were chosen based on the possibility of finding articles from collections such as Elsevier, Springer e Taylor & Francis. Search terms related to “knowledge Elicitation” are the following: \"knowledge Elicitation\" OR \"knowledge acquisition\" AND technique AND “Tacit Knowledge\". \nResults: The main research findings listed by the article were the inclusion of a knowledge engineer considering the SECI model, the indication of predictability in the perception of episodic knowledge in a tacit knowledge elicitation process, and the hybrid adoption of knowledge elicitation techniques.\nLimitations of the research: The selection criteria were based only on articles written in the English language and taking into consideration the period from 2008 to 2020.\nOriginality/value: The structure of this article was based on the indication of theoretical gaps and the need to deepen the themes underlying the process of eliciting tacit knowledge, which allowed a systematic exposure of a broad scenario that represents the scope and complexity.","PeriodicalId":125040,"journal":{"name":"International Journal of Knowledge Engineering and Management","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Knowledge Engineering and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47916/ijkem-vol9n25-2020-83301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Goal: This systematic review aimed at highlighting and performing an integrated discussion of the factors of the tacit knowledge elicitation process.
Design/Methodology/Approach: The research method adopted in this study was (PRISMA) Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The databases, Science Direct, Web of Science, Scopus, and Emerald Insight were chosen based on the possibility of finding articles from collections such as Elsevier, Springer e Taylor & Francis. Search terms related to “knowledge Elicitation” are the following: "knowledge Elicitation" OR "knowledge acquisition" AND technique AND “Tacit Knowledge".
Results: The main research findings listed by the article were the inclusion of a knowledge engineer considering the SECI model, the indication of predictability in the perception of episodic knowledge in a tacit knowledge elicitation process, and the hybrid adoption of knowledge elicitation techniques.
Limitations of the research: The selection criteria were based only on articles written in the English language and taking into consideration the period from 2008 to 2020.
Originality/value: The structure of this article was based on the indication of theoretical gaps and the need to deepen the themes underlying the process of eliciting tacit knowledge, which allowed a systematic exposure of a broad scenario that represents the scope and complexity.
目的:这篇系统的综述旨在强调并对隐性知识激发过程的因素进行综合讨论。设计/方法学/方法:本研究采用的研究方法为(PRISMA)系统评价和meta分析首选报告项目。选择的数据库是Science Direct、Web of Science、Scopus和Emerald Insight,是基于从Elsevier、Springer e Taylor & Francis等馆藏中查找文章的可能性。与“知识启发”相关的搜索词如下:“知识启发”或“知识获取”以及技术和“隐性知识”。结果:本文列出的主要研究成果包括考虑SECI模型的知识工程师,隐性知识启发过程中情景知识感知的可预测性,以及知识启发技术的混合采用。研究的局限性:选择标准仅基于以英语写作的文章,并考虑了2008年至2020年的时间。原创性/价值:本文的结构是基于理论差距的指示和深化隐含知识过程的主题的需要,这允许系统地暴露一个广泛的场景,代表范围和复杂性。