Performance measurement of detection and governmental punitive agency by integrated approach based on DEMATEL, ANP, and DEA

Abstract

The detection and governmental punitive agency is responsible for supervision on correct implementation of the business laws in Iran. Several criteria are involved in performance assessment of detection and governmental punitive agency. The interaction between criteria and sub-criteria may occur in real situations. Moreover, the performance measurement should be accomplished in a multi-period horizon in order to detect the correct perception of the functionality of the organization. So, in this paper a hybrid approach based on DEMATEL, ANP, and DEA-based Malmquist Productivity Index is proposed measure the performance of detection and governmental punitive agency. First, DEMATEL is used to detect the network of interactive criteria through cause and effect relations. Then, the relative importance of the criteria is calculated using ANP method. Finally, a DEA approach is used to evaluate the productivity of alternatives with multiple inputs and outputs during several planning periods while the relative importance achieved from ANP are also considered as constraints of the system. The proposed approach is used at Detection and Governmental Punitive Agency in all provinces in Iran. The results show that the proposed method is able to assess the performance of a service organization while the assessment is accomplished during multiple periods and the organization is compared with technological progress of the industry as well as its historical technical performance. The proposed method is able to identify the complex relations of criteria, prioritizing the criteria, and assess the performance of service organizations due to technical change and technological change during multiple periods.