Skip to main content

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

  • Conference paper
  • First Online:
Proceedings of 20th International Conference on Industrial Engineering and Engineering Management
  • 1139 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  • Bock HH (1996) Probabilistic models in cluster analysis. Comput Stat Data Anal 3(23):5–28

    Article  Google Scholar 

  • Bots JM, Groenland E, Swagerman DM (2009) An empirical test of Birkett’s competency model for management accountants: survey evidence from Dutch practitioners. J Account Educ 7(27):1–13

    Article  Google Scholar 

  • Budayan C, Dikmen I, Birgonul MT (2009) Comparing the performance of traditional cluster analysis, self-organizing maps and fuzzy c-means method for strategic grouping. Expert Syst Appl 27(36):11772–11781

    Article  Google Scholar 

  • Cao Ling, Yang Jing, Xia Yan (2010) Co-word clustered analysis of competitive intelligence dissertations in China. Info Sci 28(6):923–925+930

    Google Scholar 

  • Chong E (2011) Managerial competencies and career advancement: a comparative study of managers in two countries. J Bus Res 4(8):9–17

    Google Scholar 

  • Gelbard R, Carmeli A, Bittmann RM, Ronen S (2009) Cluster analysis using multi-algorithm voting in cross-cultural studies. Expert Syst Appl 34(36):10438–10446

    Article  Google Scholar 

  • Koengsfeld JP, Kim SH, Cha JM et al (2012) Developing a competency model for private club managers. Int J Hosp Manage 29(31):633–641

    Article  Google Scholar 

  • Li Changling, Zhang Xuemei (2008) Co-word clustered analysis of doctor information science dissertations in China. Info Sci 26(1):73–76

    Google Scholar 

  • McLiden D (2012) Concept maps as network data: analysis of a concept map using the methods of social network analysis. Eval Program Plann 5(36):40–48

    Google Scholar 

  • Mei Yingnie, Xin Juanzhou (2012) Study on library administrate decision using data mining. IJACT Int J Adv Comput Technol 4(8):165–172

    Article  Google Scholar 

  • Testa MR, Sipe L (2012) Service-leadership competencies for hospitality and tourism management. Int J Hosp Manage 26(31):648–658

    Article  Google Scholar 

  • Wang Lanfu, Yang Changming, Wang Jun (2012) Co-citation clustered analysis of management science and engineering PhD thesis. Commercial Times 8(17):121–123

    Google Scholar 

  • Wei Li, Xiong Feili, Re Gente (2012) Cluster dynamic XML documents based on frequently changing structures. AISS Adv Info Sci Serv Sci 4(6):70–76

    Google Scholar 

  • Wei Wenwu, Yu Tinglee (2007) Developing global managers’ competencies using the Fuzzy DEMATEL method. Expert Syst Appl 25(32):499–507

    Google Scholar 

  • Wu Jingming, Wu Lin (2011) The hot spot and tendency of China’s higher education research in the last 10 years-based on the common word clustering analysis of the graduate degree thesis. China High Educ Res 14(9):20–24

    Google Scholar 

  • Wu Zhiqiang (2011) Reading tendency based on the clustering analysis. Lib Info Serv 55(15):82–84,135

    Google Scholar 

  • Xu Zhenliang, Guo Xiaochuan (2011) The analysis of research fronts of international technological innovation based on knowledge mapping—the angle of view of the network of author co-cited and cluster analysis. Stud Sci Sci 29(11):1625–1637

    Google Scholar 

  • Zhang Li, Tian Lina (2011) Co-citation clustered analysis on subject literature of digital library. Info Sci 29(6):878–881

    Google Scholar 

  • Zhang Yu, Guo Huiyu, Chen Jianqing (2011) Research on the status Quo of data mining in China–based on co-words analysis method. Info Sci 29(10):1589–1593

    Google Scholar 

  • Zoogah DB, Peng MW (2011) What determines the performance of strategic alliance managers? Two lens studies. Asia Pac J Manage 11(28):483–508

    Article  Google Scholar 

Download references

Acknowledgment

Guangxi Natural Science Fund Project: Performance evaluation and control system research of strategic management (GUIKEZI0481045).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Da-you Du .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ma, L., Du, Dy. (2013). A Cluster Analysis of the Research of Governmental Staff’s Competency. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of 20th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40072-8_83

Download citation

Publish with us

Policies and ethics