Ranking performance indicators related to banking by using hybrid multicriteria methods in an uncertain environment: a case study for Iran under COVID-19 conditions

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS Systems Science & Control Engineering Pub Date : 2022-12-31 DOI:10.1080/21642583.2022.2052996
Amir Karbassi Yazdi, C. Spulbar, T. Hanne, Ramona Birau
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引用次数: 5

Abstract

This research aims to identify performance indicators and use them to prioritize banks in Iran. Today, the banking industry is severely challenged by decreasing revenues, especially during crisis such as the COVID-19 pandemic. Hence, evaluating banks to find their weaknesses is vital and shows how banks with flaws can be benchmarked from best practice banks. For this work, data is collected from Iranian banks and then evaluated based on the Delphi method. Since the importance of the considered factors is quite diverse, they should be ranked. We use Evaluation by an Area-Based Method of Ranking (EAMR) for this research study. As this method requires factor-specific weights, the Stepwise Weight Assessment Ratio Analysis (SWARA) method is used for determining these weights. This paper looks forward to introducing new hybrid MADM methods in an uncertain environment with high reliability in the results. This new model leads to ensure managers that they can make their decisions accurately. The results reveal the performance of Iranian banks and a respective ranking of them including a model for benchmarking. This empirical research study also provides useful guidance to a better understanding of performance measurement in the banking sector in Iran.
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在不确定环境中使用混合多标准方法对银行业相关绩效指标进行排名:以2019冠状病毒病疫情下的伊朗为例
本研究旨在确定绩效指标,并利用这些指标对伊朗的银行进行优先排序。如今,银行业面临着收入减少的严峻挑战,尤其是在2019冠状病毒病大流行等危机期间。因此,对银行进行评估以发现它们的弱点是至关重要的,这也表明了如何将有缺陷的银行作为最佳实践银行的基准。在这项工作中,从伊朗的银行收集数据,然后根据德尔菲法进行评估。由于所考虑的因素的重要性各不相同,因此应该对它们进行排名。本研究采用基于区域的排名方法(EAMR)进行评估。由于该方法需要特定因素的权重,因此采用逐步权重评估比分析(SWARA)方法确定这些权重。本文期待在不确定环境下引入新的具有高可靠性的混合MADM方法。这种新模式可以确保管理者能够准确地做出决策。结果揭示了伊朗银行的表现和各自的排名,其中包括一个基准模型。这一实证研究也为更好地理解伊朗银行业的绩效衡量提供了有益的指导。
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来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
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