DocumentCode :
1189468
Title :
Capitalizing on knowledge: a novel approach to crucial-knowledge determination
Author :
Tseng, Tzu-Liang ; Huang, Chun-Che
Author_Institution :
Dept. of Mech. & Ind. Eng., Univ. of Texas, El Paso, TX, USA
Volume :
35
Issue :
6
fYear :
2005
Firstpage :
919
Lastpage :
931
Abstract :
Corporation managers make informed decisions based upon a combination of judgment and knowledge from various departments such as marketing, sales, research, development, manufacturing, and finance. Ideally, all relevant knowledge should be brought together before judgment is exercised. However, determining the knowledge requirements and obtaining pertinent, consistent, and up-to-date knowledge across a large company is a complex process. Crucial-knowledge determination is a complex process: specifically the identification of crucial knowledge and knowledge requirements. In this paper, a methodology is developed for modeling the knowledge requirements and the associated tasks for collecting the knowledge simultaneously. This methodology provides a valuable contribution in knowledge-management systems by defining a major plan for discovering issues-oriented knowledge. One procedure and one heuristic algorithm are illustrated with numerical examples.
Keywords :
data mining; decision making; heuristic programming; knowledge management; knowledge representation; crucial-knowledge determination; decision making; heuristic algorithm; issues-oriented knowledge; knowledge capitalization; knowledge discovery; knowledge identification; knowledge requirement; knowledge-management system; Asset management; Finance; Financial management; Heuristic algorithms; Knowledge management; Manufacturing; Marketing and sales; Marketing management; Process planning; Research and development management; Decision making; issues-oriented approach; knowledge capitalization; knowledge discovery; knowledge identification;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4427
Type :
jour
DOI :
10.1109/TSMCA.2005.851294
Filename :
1519033
Link To Document :
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