Analysis of Efficiency and Productivity of Commercial Banks in Turkey Pre- and during COVID-19 with an Integrated MCDM Approach

Ünlü, Ulaş; Yalçın, Neşe; Avşarlıgil, Nuri

doi:10.3390/math10132300

Cited by 18 publications

(5 citation statements)

References 90 publications

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“…MEREC has found diverse applications across fields, encompassing business economics and environmental studies; however, its principal employment has been within the domain of engineering. Applications in the field of business economics are as follows: the financial performance of the hospitality and tourism industries [121], efficiency and productivity of commercial banks [122], evaluation of economic freedom levels of OPEC countries [123], assessment of distribution center locations [124] sustainable smart manufacturing systems for industry 4.0 in small, medium, and micro enterprises [125], portfolio optimization [34], and supplier selection [126]. The following are the applications in the area of environmental studies: mitigating climate change effects of urban transportation [127], identifying the optimal renewable energy power plant location [128], selecting a green renewable energy source [129], selecting offshore wind turbine [130], offshore wind farm site selection [131], circular economy paradigm in European Union countries (environmental economics) [132], and efficiency evaluation of the mineral deposit [133].…”

Section: Application Areasmentioning

confidence: 99%

“…For MEREC, it has been seen that the most popular of the weighting methods used in studies with MEREC are ENTROPY [133,134,136,138,142,144,145,[151][152][153] and CRITIC [34,132,133,144,146]. Other methods are SWARA II [122,124], I2TL-SWARA II (interval 2-tuple linguistic) [130], simplified BWM [131], Symmetry Point of Criterion (SPC) [133], SECA and CILOS [34], FUCOM [8], and AHP [126].…”

Section: Hybrid Studiesmentioning

confidence: 99%

“…An examination of ranking methods used in conjunction with MEREC reveals the widespread utilization of TOPSIS and MARCOS methods. The studies in which these methods have been applied are as follows: TOPSIS [8,34,126,134,136,138,145,148,149,151,152,156], fermatean fuzzy TOPSIS [154], MARCOS [34,122,132,136,138,144,145,147,149,151], DNMAR-COS (double normalized MARCOS) [135], type-2 neutrosophic number MARCOS [127], single-valued neutrosophic sets MARCOS [140]. Additional employed ranking methods include MAIRCA [8,34,138,145,149,151,152], MABAC [8,23,34,136,137,143,150], CO-COSO [8,23,34,143], GREY-COCOSO [121], cumulative prospect theory COCOSO [130]...…”

Section: Hybrid Studiesmentioning

confidence: 99%

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A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making

2023

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In the realm of multi-criteria decision-making (MCDM) problems, the selection of a weighting method holds a critical role. Researchers from diverse fields have consistently employed MCDM techniques, utilizing both traditional and novel methods to enhance the discipline. Acknowledging the significance of staying abreast of such methodological developments, this study endeavors to contribute to the field through a comprehensive review of several novel weighting-based methods: CILOS, IDOCRIW, FUCOM, LBWA, SAPEVO-M, and MEREC. Each method is scrutinized in terms of its characteristics and steps while also drawing upon publications extracted from the Web of Science (WoS) and Scopus databases. Through bibliometric and content analyses, this study delves into the trend, research components (sources, authors, countries, and affiliations), application areas, fuzzy implementations, hybrid studies (use of other weighting and/or ranking methods), and application tools for these methods. The findings of this review offer an insightful portrayal of the applications of each novel weighting method, thereby contributing valuable knowledge for researchers and practitioners within the field of MCDM.

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Section: Application Areasmentioning

confidence: 99%

Section: Hybrid Studiesmentioning

confidence: 99%

Section: Hybrid Studiesmentioning

confidence: 99%

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A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making

2023

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“…Both financial and nonfinancial crises have a detrimental impact on all participants in the global economy and produce a decline in market confidence and stability. The crisis-induced uncertainty presents both significant opportunities and considerable hazards to all economic units (Kozak, 2021;Ünlü et al,2022).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Financial Performance of the Deposit Banking Sector in the Covid-19 Period With Lmaw-Dnma Methods

Demir¹

2022

ijif

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Banks, as one of the most important actors in the money and capital markets, play a critical role in the financial intermediation process for every country’s economy. The deposit banking sector is critical to the banking system’s effective and efficient operation. The goal of this research is to develop a multi-criteria model for measuring and assessing the performance of the deposit banking sector during the COVID-19 pandemic. In this context, an integrated model consisting of the Logarithm Methodology of Additive Weights (LMAW) and Double Normalization-based Multiple Aggregation (DNMA) methods is proposed. In the first stage of the proposed performance evaluation model, the performance indicators determined based on the previous literature were weighted with the LMAW method. In the second stage, the DNMA method was used to measure and evaluate the financial performance of the deposit banking sector during the COVID-19 pandemic period. In this context, an integrated model consisting of the Logarithm Methodology of Additive Weights (LMAW) and Double Normalization-based Multiple Aggregation (DNMA) methods are proposed. In the first stage of the proposed performance evaluation model, the performance indicators determined based on the previous literature were weighted with the LMAW method. In the second stage, the DNMA method was used to measure and evaluate the financial performance of the deposit banking sector during the COVID-19 pandemic period. When the DNMA ranking findings were analyzed generally, it was determined that the deposit banking sector was severely impacted by the COVID-19 pandemic. This suggests that the sector is inefficient at managing pandemic-related risks. This study’s findings may assist bank management, investors, and regulatory and supervisory agencies in making more accurate decisions regarding the stability of the banking system. Various sensitivity analyses were also utilized to verify the model’s dependability and robustness within the scope of the study. The results of sensitivity analyses indicate that the suggested methodology generates consistent and reliable sequencing outcomes.

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“…As a result, this field has always drawn researchers and professionals. Additionally, given India's rapid economic development, a comparison of the country's "public and private sector banks" is necessary [5,6]. "Public sector banks, private sector banks, and foreign banks" are some of the divisions that the Indian banking industry may be divided into.…”

Section: Introductionmentioning

confidence: 99%

An Assessment of Performance of the Private Sector Banks in India Using the EDAS Approach

2020

rmc

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Banks are essential to every economy. The best possible use of financial resources is maintained when the banking sector is stable and banks are doing sustainably. This stability also enables efficient financial movement between the various parts of the economy. Therefore, banks play a crucial role in the equitable development and financial progress of any nation. Research significance: Every economy's ability to grow sustainably depends on the financial sector operating effectively and steadily. For the purpose of promoting growth and coping with the dynamics of the world economy, India has recently started a number of economic changes. Methodology: The present study contrasts the efficiency of the chosen "private sector banks in India" over the year of 2019 in this regard. First, using "a Multicriteria Decision Making (MCDM)" tool like the EDAS method, the productivity of the chosen banks is assessed from the standpoint of management effectiveness. Result: The rank of "AXIS is seventh, HDFC is first, ICICI is eight, KMB is second, FBL is fourth, IIBL is third, RBL is sixth and DCB is fifth". The ranking order is "HDFC > KMB > IIBL > FBL > DCB > RBL > AXIS > ICICI". Conclusion: Depending on EDAS research in this paper, it was discovered that among all banks, HDFC had the best overall performance while ICICI had the poorest.

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Analysis of Efficiency and Productivity of Commercial Banks in Turkey Pre- and during COVID-19 with an Integrated MCDM Approach

Cited by 18 publications

References 90 publications

A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making

A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making

Analysis of the Financial Performance of the Deposit Banking Sector in the Covid-19 Period With Lmaw-Dnma Methods

An Assessment of Performance of the Private Sector Banks in India Using the EDAS Approach

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