Evaluation of Faculties by DEA-ANP Hybrid Algorithm of Chapter: Educational-Research Performance

Evaluation of Faculties by DEA-ANP Hybrid Algorithm of Chapter: Educational-Research Performance

Elahe Shariatmadari Serkani (Islamic Azad University, Iran)
Copyright: © 2017 |Pages: 46
DOI: 10.4018/978-1-5225-0596-9.ch004
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Abstract

One of the fundamental issues facing universities, research centers and institutes of higher education is the absence of an integrated system for performance evaluation. Data Envelopment Analysis (DEA) is a mathematical and management technique for evaluation of Decision Making Units (DMUs) with multiple input and output. The original DEA does not perform full-ranking; instead, it merely provides classification into two groups: efficient and inefficient. Among the available multi-attribute decision-making methods only Analytic Network Process (ANP) can be used to evaluate performance systematically due to the dependencies and feedbacks caused by the mutual effects of the criteria. The DEA-ANP hybrid algorithm, is designed to eliminate the disadvantage of full-ranking in the DEA method, as well as the disadvantage of subjective evaluation in the ANP method. The goal of this chapter is measuring educational and research performance of seventeen faculties, for the academic year 2009-2010, by using the DEA-ANP hybrid algorithm.
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Background

The issue of performance evaluation and efficiency assessment of universities that have multiple inputs and outputs, in the past few decades has attracted many attentions (Bobe, 2009). Most notably in the area of ​​evaluating the universities performance is as follows:

Bessent (1980) compared the efficiency between faculties by using data envelopment analysis techniques and also in 1983 he used the DEA method to measure the relative efficiency of training programs in the social science faculty. Inputs include contact hours (students contact), each school area of ​​land (training center) and direct educational expenses (Bessent, Bessent, 1980).

Charnes, Arnold, Cooper, Ahn (1989) examined governmental institutes performance by using the technique DEA at the level of higher education in Texas, America. The results published by the nonprofit institutes and public researches. Comparison of the university departments was done by Beasley (1990). Beasley (1995) measured and compared the efficiency of physics and chemistry education and research departments throughout the University of British

Ahn and Seiford (1993) applied DEA method to analyze the relative performance of 153 institutions with doctorate, in the graduate-level. Among these 153 institutions, 104 institutions were public & 49 institutions were private. Johns & Johns measured the relative efficiency of economic sectors’ universities in Britain. They used potential issues in determining the output and input & it is interesting that Bessel and Johns and Johns (1995), used the research revenue as input.

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