How to create indices for bank branch financial performance measurement using MCDA techniques: an illustrative example

Most banks have been negatively affected by the recent economic recession, which has forced them to evaluate their operating performance including the financial performance of bank branches. Approaches that have been applied to address the financial performance evaluation of bank branches include: o...

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Main Authors: Fernando A. F. Ferreira, Sérgio P. Santos, Paulo M. M. Santos, Ronald W. Spahr
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2014-10-01
Series:Journal of Business Economics and Management
Subjects:
Online Access:https://journals.vgtu.lt/index.php/JBEM/article/view/3042
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author Fernando A. F. Ferreira
Sérgio P. Santos
Paulo M. M. Santos
Ronald W. Spahr
author_facet Fernando A. F. Ferreira
Sérgio P. Santos
Paulo M. M. Santos
Ronald W. Spahr
author_sort Fernando A. F. Ferreira
collection DOAJ
description Most banks have been negatively affected by the recent economic recession, which has forced them to evaluate their operating performance including the financial performance of bank branches. Approaches that have been applied to address the financial performance evaluation of bank branches include: optimization techniques, simulations, stochastic tools, fuzzy logics and decision support systems. Although recent improvements have been made in assessing financial performance, the potential for significant further improvement remains since the recent world economic crisis is adding pressure on business margins. The purpose of this paper is to construct an exemplificative evaluation index for bank branch financial performance by integrating cognitive maps with measuring attractiveness by a categorical based evaluation technique. We aim to apply this methodology constructively to serve as a learning mechanism and introduce transparency in the decision making process. Practical applications, strengths and weaknesses of the proposed evaluation index are also discussed.
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spelling doaj.art-bdc8e9f66b04496c8c4d5198d3a0dac02022-12-21T23:18:02ZengVilnius Gediminas Technical UniversityJournal of Business Economics and Management1611-16992029-44332014-10-0115410.3846/16111699.2012.701230How to create indices for bank branch financial performance measurement using MCDA techniques: an illustrative exampleFernando A. F. Ferreira0Sérgio P. Santos1Paulo M. M. Santos2Ronald W. Spahr3ISCTE Business School, BRU-IUL, University Institute of Lisbon, Avenida das Forças Armadas, 1649-026 Lisbon, Portugal Fogelman College of Business and Economics, University of Memphis, Memphis, TN 38152-3120, USAFaculty of Economics, University of Algarve, Campus de Gambelas, 8005-139 Faro, Portugal CEFAGE, University of Évora, PortugalEconomics and Research Department, Banco de Portugal, Av. Almirante Reis 71, 1150-012 Lisboa, Portugal; NOVA School of Business and Economics, Universidade Nova de Lisboa, Portugal CEFAGE, University of Évora, PortugalFogelman College of Business and Economics, University of Memphis, Memphis, TN 38152-3120, USAMost banks have been negatively affected by the recent economic recession, which has forced them to evaluate their operating performance including the financial performance of bank branches. Approaches that have been applied to address the financial performance evaluation of bank branches include: optimization techniques, simulations, stochastic tools, fuzzy logics and decision support systems. Although recent improvements have been made in assessing financial performance, the potential for significant further improvement remains since the recent world economic crisis is adding pressure on business margins. The purpose of this paper is to construct an exemplificative evaluation index for bank branch financial performance by integrating cognitive maps with measuring attractiveness by a categorical based evaluation technique. We aim to apply this methodology constructively to serve as a learning mechanism and introduce transparency in the decision making process. Practical applications, strengths and weaknesses of the proposed evaluation index are also discussed.https://journals.vgtu.lt/index.php/JBEM/article/view/3042bank branchdecision supportfinancial performancecognitive mapsmultiple criteria decision analysistrade-offs
spellingShingle Fernando A. F. Ferreira
Sérgio P. Santos
Paulo M. M. Santos
Ronald W. Spahr
How to create indices for bank branch financial performance measurement using MCDA techniques: an illustrative example
Journal of Business Economics and Management
bank branch
decision support
financial performance
cognitive maps
multiple criteria decision analysis
trade-offs
title How to create indices for bank branch financial performance measurement using MCDA techniques: an illustrative example
title_full How to create indices for bank branch financial performance measurement using MCDA techniques: an illustrative example
title_fullStr How to create indices for bank branch financial performance measurement using MCDA techniques: an illustrative example
title_full_unstemmed How to create indices for bank branch financial performance measurement using MCDA techniques: an illustrative example
title_short How to create indices for bank branch financial performance measurement using MCDA techniques: an illustrative example
title_sort how to create indices for bank branch financial performance measurement using mcda techniques an illustrative example
topic bank branch
decision support
financial performance
cognitive maps
multiple criteria decision analysis
trade-offs
url https://journals.vgtu.lt/index.php/JBEM/article/view/3042
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AT paulommsantos howtocreateindicesforbankbranchfinancialperformancemeasurementusingmcdatechniquesanillustrativeexample
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