Improving technical efficiency in data envelopment analysis for efficient firms: A case on Chinese banks

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dc.authorscopusidAlireza Amirteimoori / 6602263748
dc.authorscopusidTofigh Allahviranloo / 8834494700
dc.authorwosidAlireza Amirteimoori / I-7703-2019
dc.authorwosidTofigh Allahviranloo / V-4843-2019
dc.contributor.authorAmirteimoori, Alireza
dc.contributor.authorAllahviranloo, Tofigh
dc.date.accessioned2025-04-17T08:45:57Z
dc.date.available2025-04-17T08:45:57Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Matematik Bölümü
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümü
dc.description.abstractData Envelopment Analysis (DEA) as a data-oriented benchmarking tool is considered a powerful and promising instrument for performance evaluation in various application areas. In DEA, the set of all decision-making units (DMUs) is divided into efficient and inefficient subsets. Inefficient DMUs are improved by reducing the input and/or increasing the output, and as far as we know, efficient DMUs are abandoned with the conclusion that they are all technically and relatively efficient, and no further analysis has been suggested in the literature. In this article, we first show that there is a gap between the actual efficiency and the efficiency estimated using benchmarking tools such as DEA. This means that there is no guarantee that the efficient DMUs characterized by DEA are really efficient. Thus, there is a gap in improving the technical efficiency of efficient DMUs. In this paper, we attempt to close this gap by introducing a method to improve efficient DMUs. First, we introduce a random variable as a corrector of efficiency evaluation, and then an inverse DEA model (IDEA) is proposed to improve efficient DMUs. To demonstrate the actual applicability of the proposed approach, we present an illustrative empirical application using 106 Chinese bank data from 2021. © 2024 Elsevier Inc.
dc.identifier.citationAmirteimoori, A., & Allahviranloo, T. (2024). Improving technical efficiency in data envelopment analysis for efficient firms: A case on Chinese banks. Information Sciences, 681, 121237.
dc.identifier.doi10.1016/j.ins.2024.121237
dc.identifier.issn00200255
dc.identifier.scopus2-s2.0-85199474101
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1016/j.ins.2024.121237
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6174
dc.identifier.volume681
dc.identifier.wosWOS:001302693300001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorAmirteimoori, Alireza
dc.institutionauthorAllahviranloo, Tofigh
dc.institutionauthoridAlireza Amirteimoori / 0000-0003-4160-8509
dc.institutionauthoridTofigh Allahviranloo / 0000-0002-6673-3560
dc.language.isoen
dc.publisherElsevier Inc.
dc.relation.ispartofInformation Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBanking
dc.subjectBenchmarking
dc.subjectData Envelopment Analysis
dc.subjectEfficiency
dc.subjectInputs And Outputs
dc.titleImproving technical efficiency in data envelopment analysis for efficient firms: A case on Chinese banks
dc.typeArticle

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