標題: Simplifying the manager competency model by using the rough set approach
作者: Wu, WW
Lee, YT
Tzeng, GH
科技管理研究所
Institute of Management of Technology
公開日期: 2005
摘要: It is now a leading company strategy to apply competency models for identifying and developing capabilities of their managers. However, a competency model usually contains too many intended competencies to be implemented. Recently, some scholars and experts argue that eight is the maximum for managers to assess. Hence, how to simplify the manager competency model is becoming an important issue. Well known as data mining techniques, the rough sets theory is a relatively new approach and good at data reduction in qualitative analysis, so that the rough set approach is suitable for dealing with the qualitative problem in simplifying the competency model. The aim of this paper is to mining the minimal set of competencies through using the rough set approach to help companies for better utilizing the competency model. The results show that the "self-management" competency is the most indispensable portion to a manager competency model.
URI: http://hdl.handle.net/11536/24923
ISBN: 3-540-28660-8
ISSN: 0302-9743
期刊: ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS
Volume: 3642
起始頁: 484
結束頁: 494
Appears in Collections:Conferences Paper