Performance Evaluation of Banking Organizations Using the New Proposed Integrated DEA-BSC Model

Journal of Modern Processes in Manufacturing and Production

مقاله 6، دوره 8، شماره 1، اردیبهشت 2019، صفحه 73-90   

نوع مقاله: Research Paper

نویسندگان

Kianoosh Kianfar^{* 1}؛ Mahnaz Ahadzadeh Namin²؛ Akbar Alam Tabriz³؛ Esmaeil Najafi⁴؛ Farhad Hosseinzadeh Lotfi⁵

¹Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

²Department of Mathematics, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran

³Department of Management, Shahid Beheshti University, Tehran, Iran

⁴Department of Industrial Engineering, Science and Research branch, Islamic Azad University, Tehran, Iran

⁵Department of Mathematics, Science and Research branch, Islamic Azad University, Tehran, Iran

چکیده

Data envelopment analysis (DEA) is a nonparametric approach to estimate relative efficiency of Decision Making Units (DMUs). DEA is one of the best quantitative approaches and balanced scorecard (BSC) is one of the best qualitative methods to measure efficiency of an organization. Since simultaneous evaluation of network performance of the quad areas of BSC model is considered as a necessity and separate use of DEA and BSC is not effective and leads to miscalculation of performance, integrated DEA-BSC model is applied. Regarding to multi-objective nature of the proposed model, two techniques including goal programming and weighted average method are used to solve such problems. At the end of the study, based on data relating to indexes of quad areas of BSC model, the results of the mentioned methods are compared. Besides assessing validation of the proposed model, the overall efficiency and each of the different stages of BSC are obtained. So that, finding a model for decision making units in various stages of BSC is the innovation of this research study.

کلیدواژه‌ها

Data Envelopment Analysis؛ Balanced Scorecard؛ Decision Making Units؛ Goal Programming؛ Weighting Objective Function؛ Multi Objective Programming

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