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Growing Science » Decision Science Letters » An application of window data envelopment analysis methodology with double frontier in the performance assessment of Shiraz university colleges

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Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 6 Issue 3 pp. 269-282 , 2017

An application of window data envelopment analysis methodology with double frontier in the performance assessment of Shiraz university colleges Pages 269-282 Right click to download the paper Download PDF

Authors: Sahar Sharifian, Abolghasem Ebrahimi, Moslem Alimohammadlou

DOI: 10.5267/j.dsl.2016.12.003

Keywords: Efficiency assessment, University, Window data envelopment analysis, Data envelopment analysis with double frontier

Abstract: Nowadays efficiency measurement is considered as one of the most important methods for performance assessment of the organizations. Assessment of academic education and research system is a vital factor for education and research promotion and also is a panoramic mirror for education and research activities. The aim of this research is to assess the efficiency measurement of Shiraz university colleges over the period 2009 – 2014. Data Envelopment Analysis (DEA) as one of the most important methods of efficiency measurement has two limitations: First, it calculates cross-sectional efficiency values and second, it may consider many units as an efficient unit. Window Data Envelopment Analysis (WDEA) is used for eliminating the first limitation and similarly double frontier analysis is used to overcome the second limitation. The results show that proposed WDEA method with double frontier in comparison with traditional analysis, provides more accurate results.

How to cite this paper
Sharifian, S., Ebrahimi, A & Alimohammadlou, M. (2017). An application of window data envelopment analysis methodology with double frontier in the performance assessment of Shiraz university colleges.Decision Science Letters , 6(3), 269-282.

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Journal: Decision Science Letters | Year: 2017 | Volume: 6 | Issue: 3 | Views: 2196 | Reviews: 0

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