Measuring the efficiency of organizational performance: A radial DEA approach-Reference-Cited by-同舟云学术

Measuring the efficiency of organizational performance: A radial DEA approach

Published:2020 Issue:6 Volume:75 Page:798-806
ISSN:0040-2176
Container-title:Tehnika
language:en
Short-container-title:Tehnika

Author:

Ralević Predrag,Dobrodolac Momčilo^ORCID,Šarac Dragana^ORCID

Abstract

A radial measurement o f efficiency on a selected numerical example involving multiple decision units (DMUs) is presented in this paper. Original CCR and extended BCC radial DEA models are used for this purpose. It is demonstrated here that DMUs can be efficient or inefficient in the use o f resources in achieving work results. The results o f the efficiency measurement indicate that the evaluation by the CCR DEA model is more strict compared to the BCC DEA model for each inefficient DMU regardless o f whether the efficiency measurement focuses on inputs or outputs.

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

Link

https://scindeks-clanci.ceon.rs/data/pdf/0040-2176/2020/0040-21762006798R.pdf

Reference17 articles.

1. Ralević P, Model optimizacije resursa javnog poštanskog operatora baziran na merenju efikasnosti pružanja poštanskih usluga (doktorska disertacija). Univerzitet u Beogradu, Saobraćajni fakultet, Beograd, 2014;

2. Coelli T., Rao D. S. P., O'Donnel C. J., Battese G. E, An introduction to efficiency and productivity analysis, 2nd ed. Springer, New York, 2005;

3. Lan L. W, Erwin T. J, Measurement of railways productive efficiency with data envelopment analysis and stochastic frontier analysis. Journal o f the Chinese Institute o f Transportation, Vol. 15, pp. 49-78, 2003;

4. Lin L. C., Tseng L. A, Application of DEA and SFA on the measurement of operating efficiencies for 27 international container ports. Proceedings of the Eastern Asia Society for Transportation Studies, Vol. 5, pp. 592-607, 2005;

5. Emrouznejada A, Yang G-,. A survey and analysis of the first 40 years of scholarly literature in DEA: 1978-2016. Socio-Economic Planning Sciences, Vol. 61, pp. 4-8, 2018;