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Knowledge-based decision making for the technology competency analysis of manufacturing enterprises

机译：基于知识的制造企业技术能力分析的决策

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摘要

Innovation, technology and management competency are vital for determining capabilities of enterprises to compete in the sector. These dimensions are very critical and important for innovative researches and development of enterprises. In this study, a new decision making method called decision making based on knowledge (DeBK) and cluster analysis are used to analyse the decision making process and evaluate the performances of manufacturing enterprises in Istanbul, Turkey. The performance evaluation model is structured based on the six main criteria and knowledge of information which is defined by expert evaluations and literature review. Small and medium-sized enterprises are analysed with respect to technology evaluation surveys. This paper suggests an analytical approach for managerial decision making. DeBK method is used to evaluate importance of the information and decision criteria. Multivariate statistical clustering analysis is applied on the appropriate model data to evaluate the enterprises. As a result, technology competency levels of the enterprises are determined in five different groups by the cluster analysis. Different clustering ways represent approximately same results for technology evaluations of the enterprises, depending on the performance clusters. (C) 2017 Elsevier B.V. All rights reserved.
机译：创新，技术和管理能力对于确定企业在该部门竞争的能力至关重要。这些尺寸对于企业的创新研究和发展来说是非常关键和重要的。在本研究中，用于基于知识（债务）和集群分析的新决策方法，用于分析土耳其伊斯坦布尔制造企业的决策过程，评价制造业企业的表现。性能评估模型基于六个主要标准和信息知识，由专家评估和文献综述定义。关于技术评估调查分析中小型企业。本文介绍了管理决策的分析方法。 DEBK方法用于评估信息和决策标准的重要性。多变量统计聚类分析应用于适当的模型数据以评估企业。因此，企业的技术能力水平通过集群分析在五个不同的群体中确定。根据性能集群，不同的聚类方式对企业的技术评估有大约相同的结果。 （c）2017 Elsevier B.v.保留所有权利。

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