A Hybrid Modeling Approach for Measuring Efficiency of Organizations Considering Dynamic Effects

Salehzadeh, Seyed Javad; Hoseini, Seyed Farzad; Zareian, Ahmadreza; Shahandeh Nookabadi, Ali

doi:10.22034/ijiems.2021.271954.1035

A Hybrid Modeling Approach for Measuring Efficiency of Organizations Considering Dynamic Effects

Document Type : Original Article

Authors

seyed javad salehzadeh ¹

seyed farzad hoseini ²

Ahmadreza Zareian ¹

Ali Shahandeh Nookabadi ¹

¹ Industrial Engineering and Systems Department, Isfahan University of Technology, Isfahan, Iran

² Department of Industrial Engineering, University of Hormozgan

10.22034/ijiems.2021.271954.1035

Abstract

Performance evaluation and feedback systems are two important factors in success of any organization. One of the newest and most applicable methods to evaluate performance of systems is Network Data Envelopment Analysis. This method considers the system as a network where after a series of interactions, inputs are transformed into intermediate products, and eventually come out from system as the final products. On the other hand, Balanced Scorecard, as an influential evaluation method, is used to evaluate and execute strategies of organizations successfully. In recent years, a new method has been developed based on combination of these two methods to evaluate performance of organizations. Such studies mainly concentrate on use of BSC and classical DEA without considering the links between the units and the effects of performance during different time periods (dynamic effects). In this paper, a combinatorial approach is presented which is able to measure efficiency of organizations during various time periods based on BSC. This approach enables organizations to compare their performances in different periods and detect inefficient resources to make appropriate decisions and achieve higher performances. Finally to evaluate the efficiency of the proposed model a numerical example is presented

Keywords

Input Output

Performance Evaluation

Dynamic Effects

DEA

BSC