A Reviews on the Performance Evaluation Based on Network Analysis and Super-Efficiency Analysis

연결망분석과 초효율성분석의 결합을 통한 효율성 순위 측정에 관한 고찰

  • Choi, Kyoung-Ho (Dept. of Basic Medical(Statistics), Jeonju University) ;
  • Kwag, Hee-Jong (Dept. of Architecture & Urban Engineering, Chonbuk National University)
  • 최경호 (전주대학교 기초의과학과) ;
  • 곽희종 (전북대학교 건축도시공학과)
  • Received : 2013.08.05
  • Accepted : 2013.10.20
  • Published : 2013.10.28


Data envelopment analysis(DEA) is a linear programming procedure designed to evaluate the relative efficiency of a set of peer entities called decision making units which use the same inputs to produce the same outputs. It has been widely employed in a variety of disciplines as an efficiency or performance measurement tool for comparing a set of entities such as firms, banks, hospitals, nations and organizations. The method, however, cant's make the priority of their performance when many units have efficiency score of unity or 100 percent. In this paper, we propose a new approach which combine qualitative method(graphical approach using network analysis) and quantitative method(super-efficient analysis using DEA), and present the results of an empirical analysis using the data of the Korean professional baseball players. As a result, there were 12 DMU that priority is hardly realized through DEA. However, this problem could be solved with super-efficiency analyzing. Also, more in-depth interpretation was able through integrating results of dendrogram and super-efficiency analyzing and prospecting it in qualitative, quantitative ways.


Data envelopment analysis;Network analysis;Efficiency;Super-efficiency analysis