Archives

The Efficiency of a University’s Colleges: A Case Study Using Data Envelopment Analysis


Nahia Mourad and Assem Tharwat
Abstract

Determining the efficiency of Higher-Educational Institutions via Data Envelopment Analysis (DEA) is being increasingly acknowledged since it is a very effective tool that handles multiple inputs and outputs with different natures. DEA is a technique that appraises the input-output performance of Decision-Making Units (DMUs) under consideration. For improvement purposes, some relative efficiency scores need to be computed for the seven different colleges of the American University in the Emirates (AUE), which is a growing university established in 2006 in Dubai. In the present paper, the efficiency scores, for the academic year 2018-2019, are considered in the study. Both the Constant Returns to Scale (CRS) and the Variable Returns to Scale (VRS) DEA models were implemented with different orientations (input and output) to provide different points of view in improving the performance of the colleges, either by minimizing the inputs and maintaining the outputs or by increasing the outputs and handling the same inputs. After analyzing the obtained efficiency measures for the colleges, it was noticed that some of the colleges appear to be inefficient in some sense compared to the others. To support the decision-makers of the AUE to improve the colleges’ performance in the following academic years, the proportion of inefficiency is determined and explained for each college.

Volume 12 | 08-Special Issue

Pages: 515-523

DOI: 10.5373/JARDCS/V12SP8/20202550