Full metadata record
DC FieldValueLanguage
dc.contributor.authorWu, WWen_US
dc.contributor.authorLee, YTen_US
dc.contributor.authorTzeng, GHen_US
dc.date.accessioned2014-12-08T15:36:35Z-
dc.date.available2014-12-08T15:36:35Z-
dc.date.issued2005en_US
dc.identifier.isbn3-540-28660-8en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/11536/24923-
dc.description.abstractIt 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.en_US
dc.language.isoen_USen_US
dc.titleSimplifying the manager competency model by using the rough set approachen_US
dc.typeArticle; Proceedings Paperen_US
dc.identifier.journalROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGSen_US
dc.citation.volume3642en_US
dc.citation.spage484en_US
dc.citation.epage494en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000232190100051-
Appears in Collections:Conferences Paper