Title :
Research on performance evaluation of higher education based on the model of BSC-DRF-DEA
Author :
Wu, Yingxin ; Li, Congdong
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin, China
Abstract :
Based on the balanced scorecard (BSC) method, the performance measure indicators (PMLs) 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 PML· 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 DEA´s results will decrease with the increase in the number of variables. In the case study, 15 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.
Keywords :
data envelopment analysis; data reduction; educational administrative data processing; BSC-DRF-DEA; balanced scorecard method; data envelopment analysis; data reduction factor; higher education; performance measure indicator; university performance evaluation; Computer science education; Costs; Data envelopment analysis; Data mining; Decision making; Doped fiber amplifiers; Educational institutions; Educational technology; Principal component analysis; Technological innovation; Data Envelopment Analysis (DEA); Data Reduction Factor (DRF); Higher education; Performance evaluation; balanced scorecard (BSC);
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
DOI :
10.1109/ICIEEM.2009.5344267
