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Building a Knowledge Brokering System using social network analysis: A case study of the Korean financial industry

机译:使用社交网络分析构建知识经纪系统:以韩国金融业为例

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The importance of knowledge is increasing in our global and knowledge-based society. As a part of knowledge management, successful knowledge transfer can improve an organization's competitive advantages and increase an organization's valuable knowledge assets. However, knowledge transfer is complex and a lot of factors exist that affect successful knowledge transfer such as context, social networks, and IT/IS. This paper aims at the role of the knowledge broker which is to be a link between knowledge seekers and knowledge experts. In this context, this research implemented a Knowledge Brokering System - called K-broker system - as a prototype system to improve knowledge transfer in an organization based on an analysis of users' social network. The K-broker system can provide a 'single view' screen for identifying knowledge experts and has no bottlenecks in contrast with a human knowledge broker and can provide a permanent communication channel between knowledge seekers and knowledge experts.
机译:在我们这个全球性和知识型社会中,知识的重要性正在增加。作为知识管理的一部分,成功的知识转移可以提高组织的竞争优势并增加组织的宝贵知识资产。但是,知识转移非常复杂,并且存在影响成功知识转移的许多因素,例如上下文,社交网络和IT / IS。本文的目标是知识经纪人的角色,它是知识寻求者和知识专家之间的纽带。在这种情况下,本研究实施了一个称为K-broker系统的知识代理系统,作为基于用户社交网络分析来改善组织中知识转移的原型系统。 K-经纪人系统可以提供用于识别知识专家的“单一视图”屏幕,并且与人类知识经纪人相比没有瓶颈,并且可以在知识寻求者和知识专家之间提供永久的沟通渠道。

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