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Data Envelopment Analysis In Higher Education

849 Words4 Pages

Abstract: The purpose of the study is to satisfy best input and output to measure the performance of higher education institution within Data Envelopment Analysis (DEA) to measure efficiency. About increasing demand on government finances while rising number on student enrolled on universities evaluating universities activities is practical issue. So, inputs and outputs should be satisfied in critical way to calculate efficiency in these universities.

Key words
Universities, Efficiency, Inputs and Outputs, Data envelopment analysis, DEA, CRS, VRS.

1 Introduction
Nowadays, higher education plays a very important role of the development of many societies. Hence, such societies try to give the higher education more concentration and importance …show more content…

Any Decision Making Unit (DMU) should consider both inputs to the higher educational system process as well as the output (or outcomes) to the system; so that an efficiency measurement should be calculated and estimated. Data Envelopment Analysis (DEA) approaches was used to calculate DMUs efficiency. A DMU will be considered in our system where the DMU can be defined as a group of people in a company or other organization involved in making an important decision. So, to estimate the whole higher education system outcomes; several DMU’s that measure different higher educational aspects and parameters should be considered. One major concern should be raised here; where the system deals with multiple input/output (homogeneous input/output) to evaluate and estimate the overall performance. This in fact makes the process not as trivial as one might think. Because of all the aforementioned facts, there is a vital need to come up with a system that can effectively calculate the efficiency of the DMU’s and hence the higher educational system as a …show more content…

DEA is a non-parametric technique (linear programming) that is used to estimate and compute the performance in homogeneous DMU’s. In general, DEA is a group of methods that handle multiple input and output variables that are used to calculate the efficiency of a system considering different weighted units for them. In order for us to use the Data Envelopment Analysis (DEA), the DEA needs to identify DMUs as well as the inputs and outputs that should be applied.
This survey examines input/output was used to measure DEA efficiency for universities on higher education institution in different universities around the world. This study tries to answer the following question: Which inputs and outputs should be considered to be applied to the DEA that will lead to the best results? Ten articles were studied to formulate comparison. Survey organized as follow. Section 2 obvious DEA, section 3 case studies, section 4 discussions and result, and finally section 5 conclusions.
2 Data Envelopment Analysis

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