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

Authors:
Sungjin Kim;Euiho Suh;Youngjoon Jun
Affiliations:
Industrial & Management Engineering, Pohang University of Science & Technology, South Korea;Industrial & Management Engineering, Pohang University of Science & Technology, South Korea;Information System Analysis Team, Korea Financial Telecommunications & Clearings Institute, South Korea
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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Abstract

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.