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Building a Knowledge Brokering System using Social Network Analysis

원문정보

초록

영어
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 focusses on the role of the knowledge broker which is a link between knowledge seekers and knowledge experts. In this context, this
research involved implementing a Knowledge Brokering System, called a 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. Furthermore, it can provide a permanent communication channel between knowledge seekers and knowledge experts.

목차

Abstract
 Introduction
 Related Works
  Tacit knowledge
  Knowledge transfer factors
  Knowledge broker
  Social Network Analysis
 Knowledge Brokering System (K-broker)
  Flows of a Knowledge Brokering System
  Architecture of a Knowledge Brokering System
  Subsystems of KBS
 Validation
 Conclusion and further works
 References

저자

  • Youngjoon Jun [ Korea Financial Telecommunications & Clearings Institute ]
  • Euiho Suh [ Pohang University of Science & Technology POSMIT Lab, Industrial & Management Engineering Building, Pohang University of Science & Technology ]
  • Sungjin Kim [ Pohang University of Science & Technology POSMIT Lab, Industrial & Management Engineering Building, Pohang University of Science & Technology ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국경영정보학회 정기 학술대회 [KMIS Conference]
    • 간기
      반년간
    • 수록기간
      1990~2025
    • 십진분류
      KDC 325 DDC 658