Knowledge based decision making on higher level strategic concerns: System dynamics approach

Nam Hong Yim, Soung Hie Kim, Hee Woong Kim, Kee Young Kwahk

Research output: Contribution to journalArticle

98 Citations (Scopus)

Abstract

In recognizing knowledge as a new resource in gaining organizational competitiveness, knowledge management suggests a method in managing and applying knowledge for improving organizational performance. Much knowledge management research has focused on identifying, storing, and disseminating process related knowledge in an organized manner. Applying knowledge to decision making has a significant impact on organizational performance than solely processing transactions for knowledge management. In this research, we suggest a method of knowledge-based decision-making using system dynamics, with an emphasis to strategic concerns. The proposed method transforms individual mental models into explicit knowledge by translating partial and implicit knowledge into an integrated knowledge model. The scenario-based test of the organized knowledge model enables decision-makers to understand the structure of the target problem and identify its basic cause, which facilitates effective decision-making. This method facilitates the linkage between knowledge management initiatives and achieving strategic goals and objectives of an organization.

Original languageEnglish
Pages (from-to)143-158
Number of pages16
JournalExpert Systems with Applications
Volume27
Issue number1
DOIs
Publication statusPublished - 2004 Jul

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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