MEASURING AND ANALYZING THE EFFICIENCY OF UNIVERSITY WORK USING THE DEA METHOD

Most of the universities in our country work in the fields of education, scientific research and social service, and allocate their resources to these three fields. This situation, in turn, creates difficulties in the allocation of university resources, their efficient and productive use. Determining the areas in which universities are active and focusing on their active and effective areas will not only strengthen them in the global competition, but also cause effective and productive use of their resources. However, a university focused on the wrong or ineffective field can do great damage to both the institution’s image and its resources. For this reason, it is very important to analyze the effectiveness of universities. Purpose of this research work, prepared in this direction, is to measure and analyze the efficiency of higher educational institutions, that is, universities, using the DEA method. Also, it was aimed to determine whether universities should be restructured for various reasons and to determine which areas universities should address during this restructuring. In the course of the study, by analyzing the relative efficiency of the university, it was determined how much it should increase or decrease its income and how much it should increase or decrease its expenses in order for the university to be effective. Based on the results of the research, it was discussed how to achieve partial differentiation of universities by looking at the indicators of education, scientific research and social service. Also, analyzes and measurements of the relative efficiency of these universities were conducted, and assessments were made regarding which of their input and output values ​​are not efficient and ways to make them efficient. In order to maintain effective and current efficiency levels, idle capacities were identified and estimates were made for these idle capacities and increasing-decreasing-constant revenue scenarios were also considered. Keywords: higher education, universities, data envelopment analysis, efficiency, measure efficiency.