期刊論文

學年 96
學期 2
出版(發表)日期 2008-02-01
作品名稱 Simplifying essential competencies for Taiwan civil servants using the rough set approach
作品名稱(其他語言)
著者 黃一峰; Huang, I Y-F; Wu, W. W.; Lee, Y. T.
單位 淡江大學公共行政學系
出版者 Hants: Palgrave Macmillan Ltd.
著錄名稱、卷期、頁數 Journal of the Operational Research Society 59(2), pp.259-265
摘要 Applying competency models to identify and develop capabilities of civil servants is now a leading strategy for every government. However, an ideal competency model usually contains too many intended competencies, impeding implementation. Recently, some scholars and experts argued that there is a maximum of eight competencies for effective assessment. Hence, how to simplify a set of competencies becomes an important issue. This study is presented as a test case to extend practical applications of rough set theory (RST) in the human resource field of Government. A well-known data mining technique, RST is a relatively new approach to this problem and is good at data reduction in qualitative analysis. Hence, the rough set approach is suitable for dealing with the qualitative problem in simplifying a set of competencies. This paper slimmed a set of competencies using RST, thus helping the Taiwan Government to better understand the perceived competency levels of its civil servants. Using the rough set analysis, this paper successfully reduced the numerous essential competencies into a more compact set, by omitting low-consensus competencies.
關鍵字 civil servants; competency; rough set
語言 en
ISSN 0160-5682
期刊性質 國外
收錄於 SSCI
產學合作
通訊作者
審稿制度
國別 GBR
公開徵稿
出版型式
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