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Profile of knowledge analysis using regression approach: Focused on know-how

机译:使用回归方法进行知识分析的概况:专注于专有技术

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Technical knowledge management is referred to managing explicit and tacit knowledge types experimented in practical cases by people of an organization. This type of knowledge is referred to as know-how in industrial literature. When an industrial process is analyzed, the level of the quality of the output addresses the level of the quality of the technical knowledge applied by employees of the process. The quality of technical knowledge in many processes can be followed effectively using a functional relationship i.e. the regression approach. In this case there exist two knowledge types including response knowledge and explanatory knowledge. Most researchers approached analyzing knowledge to map knowledge without considering the relationship between explanatory and response knowledge types. This new approach to lead analyzing technical knowledge is called in this paper profile of knowledge (POK). The POK approach is capable potentially to lead practitioners to an effective root cause analysis when an improvement effort is aimed or a sustained fault takes a place in the process. In this paper it is attempted to introduce applicability of POK approach to analyze knowledge mapping focusing on technical type i.e. know-how. A practical example is also provided to address the effectiveness of the POK analysis.
机译:技术知识管理是指管理组织人员在实际情况下尝试的显式和隐性知识类型。这种类型的知识在工业文献中称为专有技术。在分析工业过程时,输出质量的级别解决了该过程的员工所应用的技术知识的质量的级别。可以使用功能关系(即回归方法)有效地跟踪许多过程中的技术知识质量。在这种情况下,存在两种知识类型,包括响应知识和解释性知识。大多数研究人员采用分析知识来映射知识的方法,而没有考虑解释性和响应性知识类型之间的关系。在本文的知识档案(POK)中称为这种导致分析技术知识的新方法。当针对改进工作或过程中出现持续性故障时,POK方法有可能潜在地引导从业人员进行有效的根本原因分析。本文试图介绍POK方法的适用性,以技术类型即专有技术为重点来分析知识图谱。还提供了一个实际示例来解决POK分析的有效性。

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