Journal of Northeastern University ›› 2008, Vol. 29 ›› Issue (4): 488-491.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Application of principal component analysis to performance evaluation of telecom enterprises

Tang, Jia-Fu (1); Li, Run-Sheng (1); Shi, Yong-Gui (1); Fan, Chun-Guang (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2008-04-15 Published:2013-06-22
  • Contact: Tang, J.-F.
  • About author:-
  • Supported by:
    -

Abstract: Combining theoretical study with empirical analysis in research, a KPI (key performance indicators) evaluation model is developed for telecom enterprises. The PCA (principal component analysis) of multivariate statistics is applied to the performance evaluation system with a telecom enterprise taken as multi-objective example to analyze. The evaluation index system based on this model is simple and practical with low operation cost and high accuracy, thus providing a new effective way to evaluate the performance of various telecom enterprises in China. The mathematical evaluation model is composed of 3 principal component indexes as a result of PCA, by which the overall strengths of all departments can be truly reflected and ranked, with the discrepancies between them and the cause both analyzed. The results show that this model is available to evaluate different performances more reasonably and scientifically.

CLC Number: