EconPapers    
Economics at your fingertips  
 

A Cluster Analysis of the Research of Governmental Staff’s Competency

Lu Ma () and Da-you Du ()
Additional contact information
Lu Ma: Guangxi University of Science and Technology
Da-you Du: Guangxi University of Science and Technology

A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 837-843 from Springer

Abstract: Abstract Cluster analysis is a kind of multivariate statistical analysis method that processes the problem of quantitative classification research. It is designed to detect hidden groups or clusters in a set of objects which are described by numerical, linguistic or structural data. The concept of competency is introduced in China in the late 1990s. It gets much research achievements in the field of enterprise management. However, it is relatively less research of the governmental staff’s competency, the first literature about the research of the governmental staff’s competency was published in 2004. Through the method of cluster analysis, we get three hot spots of the governmental staff’s competency: the introduction of competency concept into the assessment of the governmental staff’s ability, the basic unit governmental staff’s competency research, and the governmental leader’s competency research, they are also the frontier areas of the research.

Keywords: Cluster analysis; Cluster; Competency; Governmental staff’s competency (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40072-8_83

Ordering information: This item can be ordered from
http://www.springer.com/9783642400728

DOI: 10.1007/978-3-642-40072-8_83

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-642-40072-8_83