Data envelopment analysis and efficiency analysis of higher education institutions: example of Selçuk University

Abstract

In this study, it was tried to determine how effective and efficient they work with input (number of academic staff, number of administrative staff, number of students,) and output (total expence, number of graduates, academic grade point average) values used by Selcuk University affiliated faculties and four year college. It is important to inform senior management about the current situation and to create insight in decisions to be taken under variable factors for the future. In this study, Selcuk University 2018 Administration Annual Report and 2018 Academic Incentive Score data were used. In this study, data envelopment analysis (DEA), which is a parameterless technique which uses linear programming principles, is used to perform relative efficiency analysis in order to enable comparison with each other. As a result of the study, relative efficiency analysis of the units were performed and evaluations were made regarding the ways in which the input and output values were not effective and the ways to be effective. If it is effective, in order to maintain the current level of activity, if the idle (unutilized capacity) capacity arose, the assessments regarding the idle capacity were made.