Research on Performance Evaluation of Higher Education Based on the Model of BSC-DRF-DEA
Based on the balanced scorecard (BSC) method,the performance measure indicators (PIMIs) system for higher education is constructed,comprising four perspectives: financial,customer,internal process,and learning & growth. Incorporating DRF (Data Reduction Factor) and DEA (Data Envelopment Analysis) methods,a DRF-DEA model is proposed for university performance evaluation. The DRF approach is used to extract the rotated public factors from PMIs and then DEA is applied to calculate the relative efficiency between DMUs (Decision Making Units). The proposed DRF-DEA model can overcome the disadvantage that the differentiation of DEAs results will decrease with the increase in the number of variables. In the case study,IS Science and Technology universities of MOE (Ministry of Education) have been chosen to illustrate the proposed model,which can evaluate the- performance of higher education more scientific and reasonable.
Higher education Performance evaluation balanced scorecard (BSC) Data Reduction Factor (DRF) Data Envelopment Analysis (DEA)
Yingxin Wu Congdong Li
School of Management,Tianj in University,Tianjin,China School of Management,Jinan University,Guangzhou,China
国际会议
北京
英文
2030-2034
2009-10-21（万方平台首次上网日期，不代表论文的发表时间）