loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Academia/Industry Working Conference on Research Challenges (AIWORC'00)
System Dynamics for Knowledge-Based Decision Making
Buffalo, New York
April 27-April 29
ISBN: 0-7695-0628-3
Hee-Woong Kim, Massachusetts Institute of Technology
Sang-Man Kwak, Massachusetts Institute of Technology
Nam-Hong Yim, Korea Advanced Institute of Science and Technology
As knowledge has been recognized as a new resource in gaining organizational competitiveness, Knowledge Management (KM) is suggested as a method to manage and apply knowledge for business management. KM research, however, has focused on identifying, storing, and distributing the transaction-related knowledge in an organization. There has been little research on applying the knowledge to decision-making or strategy development that is the main task of business management. The application of knowledge to decision making has higher impact on organizational performance rather than just the knowledge management for process transaction.In this research, we suggest System Dynamics (SD) for the knowledge-based decision-making. Based on the modeling method of SD, we can translate partial and implicit knowledge resident in individual's mental model into organized explicit knowledge. The simulation test of the organized knowledge model enables decision-makers to understand the structure of the target problem and identify basic cause of it, which facilitates effective decision-making. We will compare the proposed method and other KM methods and discuss this research based on the application case to a real telecommunication company.
Citation:
Hee-Woong Kim, Sang-Man Kwak, Nam-Hong Yim, "System Dynamics for Knowledge-Based Decision Making," aiworc, pp.107, Academia/Industry Working Conference on Research Challenges (AIWORC'00), 2000
Usage of this product signifies your acceptance of the Terms of Use.