DocumentCode :
479650
Title :
Performance evaluation of tacit knowledge management based on multiple indicator ideal interval methods
Author :
Lan, Tian ; Zhong, RunTong ; Dai, Hong
Author_Institution :
Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing
Volume :
1
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
858
Lastpage :
864
Abstract :
Based on the characteristic of tacit knowledge management and the methodology of enterprise performance evaluation, an evaluation indicator system for the management performance of tacit knowledge is set up in this paper. Then a new method of performance evaluation of knowledge management named as multiple indicator ideal interval methods is proposed. In the end, a company is taken as an example to be worked out its performance of tacit knowledge management using this new method. The new method is proved to be correct by the comparison between the results worked out by this new method and other existing methods.
Keywords :
genetic algorithms; knowledge management; enterprise performance evaluation; evaluation indicator system; genetic algorithms; multiple indicator ideal interval methods; tacit knowledge management; Appraisal; Companies; Decision making; Economic indicators; Genetic algorithms; Knowledge management; Production; Genetic Algorithms; Ideal Interval Methods which has Multiple Indicator; Knowledge Management; Performance Evaluation; Tacit Knowledge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2012-4
Electronic_ISBN :
978-1-4244-2013-1
Type :
conf
DOI :
10.1109/SOLI.2008.4686519
Filename :
4686519
Link To Document :
بازگشت