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

dc.contributor.authorKarbassi Yazdi, Amir
dc.contributor.authorSpulbar, Cristi
dc.contributor.authorHanne, Thomas
dc.contributor.authorBirau, Ramona
dc.date.accessioned2025-01-27T09:25:17Z
dc.date.issued2022
dc.description.abstractThis 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.
dc.identifier.doi10.1080/21642583.2022.2052996
dc.identifier.issn2164-2583
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/48214
dc.identifier.urihttps://doi.org/10.26041/fhnw-10929
dc.issue1
dc.language.isoen
dc.publisherTaylor & Francis
dc.relation.ispartofSystems Science & Control Engineering
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.spatialLondon
dc.subject.ddc330 - Wirtschaft
dc.titleRanking performance indicators related to banking by using hybrid multicriteria methods in an uncertain environment: a case study for Iran under COVID-19 conditions
dc.type01A - Beitrag in wissenschaftlicher Zeitschrift
dc.volume10
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutInstitut für Wirtschaftsinformatikde_CH
fhnw.openAccessCategoryGold
fhnw.pagination166-180
fhnw.publicationStatePublished
relation.isAuthorOfPublication35d8348b-4dae-448a-af2a-4c5a4504da04
relation.isAuthorOfPublication.latestForDiscovery35d8348b-4dae-448a-af2a-4c5a4504da04
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