探索运用DEMATEL方法分析教育部组织学习促进因素与知识创造的因果关系

Sun Hyung Park, I. Kim, Seong-Bum Lim
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引用次数: 2

摘要

知识的创造和管理被认为是知识时代组织生存的关键因素。组织学习机制作为一个知识获取和共享的过程,通过组织的不同学习活动来指导组织的学习功能。我们研究了构成olm的各种学习过程。在本研究中,我们的目的是捕捉知识管理和知识共享与获取的过程和框架。促进olm的因素在三个层面进行了调查:个人、群体和组织。在组织学习领域中,组织目标管理模型的概念受到了一定的关注,然而,组织目标管理模型产生因素之间的关系尚未得到实证检验。作为正在进行的讨论的一部分,我们尝试了olm的系统方法。olm可以用组织系统固有的因素来表示;因此,在实证检验OLM产生因素之前,需要对其组织整合进行评估,以确定对每个因素的有效处理。因此,我们开发了一个知识管理框架,并提出了一种方法来数值评估影响olm的因素。具体而言,采用决策试验与评估实验室(DEMATEL)方法的复合重要性(CI),基于系统方法探讨这些因素的交互效应。由此产生的增广矩阵被期望作为一个吸收马尔可夫链的随机矩阵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Usage of the DEMATEL Method to Analyze the Causal Relations Between the Factors Facilitating Organizational Learning and Knowledge Creation in the Ministry of Education
Knowledge creation and management are regarded as critical success factors for an organization"s survival in the knowledge era. As a process of knowledge acquisition and sharing, organizational learning mechanisms (OLMs) guide the learning function of organizations represented by its different learning activities. We examined a variety of learning processes that constitute OLMs. In this study, we aimed to capture the process and framework of OLMs and knowledge sharing and acquisition. Factors facilitating OLMs were investigated at three levels: individual, group, and organizational. The concept of an OLM has received some attention in the field of organizational learning, however, the relationship among the factors generating OLMs has not been empirically tested. As part of the ongoing discussion, we attempted a systemic approach for OLMs. OLMs can be represented by factors that are inherent to the organization’s system; therefore, prior to empirically testing the OLM generating factor(s), evaluation of its organizational integration is required to determine effective treatment of each factor. Thus, we developed a framework to manage knowledge and proposed a method to numerically evaluate factors influencing the OLMs. Specifically, composite importance (CI) of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was applied to explore the interaction effect of these factors based on systemic approach. The augmented matrix thus generated is expected to serve as a stochastic matrix of an absorbing Markov chain.
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