运用Nonaka和Endsley模型建立基于知识的态势感知框架

W. Yusof, O. Zakaria, Zuraini Zainol
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引用次数: 6

摘要

到目前为止,还没有一个基于知识的框架来结合Nonaka和Endsley两种模型来研究情境感知。这些模型可以帮助我们的研究收集和转化适当的隐性知识,以增强现有的显性知识。现有的显性知识可以从培训模块(学说)或任何相关文件中找到。然而,隐性知识被隐性地储存在有经验的员工的头脑中,不容易被提取出来。因此,本文阐述了如何从有经验的员工那里收集合适的隐性知识的结构化方法。
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Establishing of knowledge based framework for situational awareness using Nonaka's and Endsley's models
Up to this moment, there is no knowledge based framework with situational awareness using the combination of two models: Nonaka and Endsley. These models can assist our research in terms of collecting and transforming appropriate tacit knowledge into enhancing the existing explicit knowledge. The existing explicit knowledge can be found from training module (doctrines) or any relevant documents. However, tacit knowledge is not easily extracted due to being stored implicitly into the mind of the experienced staff. Therefore, this paper explains the structured way on how to collect appropriate tacit knowledge from the experienced staff.
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