Inverse Dynamic Data Envelopment Analysis for Evaluating Faculties of University with Quasi-Fixed Inputs

Like other organizations, universities must evaluate their performance to identify areas for improvement. Although the different aspects of a university are considered for evaluation, the research section is deemed to be the most important and is where the necessity of the performance evaluation is most salient. In this study, the relative efficiency of the sub-units of several faculties of the university has been investigated through dynamic data envelopment analysis (DDEA) and inverse DDEA (IDDEA). The capability of traditional DEA to differentiate between efficient and non-efficient units decreases as the ratio of the number of inputs and outputs to the number of decision-making units increases. To remove this limitation by adding intermediate constraints between stages, a dynamic form of the method was applied in this research. The paper provides distinctions between the faculties as well as sensitivity analysis of the inputs/outputs of each faculty. The proposed IDDEA is implemented to scrutinize the changes in the input and output levels. The proposed approach is output-oriented to account for the homogeneity of faculties and their subordination under a specific unified management policy. A case study of Urmia University is used to demonstrate the proposed approach.