<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0123-5923</journal-id>
<journal-title><![CDATA[Estudios Gerenciales]]></journal-title>
<abbrev-journal-title><![CDATA[estud.gerenc.]]></abbrev-journal-title>
<issn>0123-5923</issn>
<publisher>
<publisher-name><![CDATA[Universidad Icesi]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0123-59232021000200226</article-id>
<article-id pub-id-type="doi">10.18046/j.estger.2021.159.4414</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Impact of the COVID-19 crisis on the Portuguese banking system. Linear ordering method]]></article-title>
<article-title xml:lang="es"><![CDATA[Impacto de la crisis del COVID-19 en el sistema bancario portugués. Enfoque de ordenamiento lineal]]></article-title>
<article-title xml:lang="pt"><![CDATA[Impacto da crise do COVID-19 no sistema bancário português. Abordagem de ordenação linear]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Korzeb]]></surname>
<given-names><![CDATA[Zbigniew]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Niedzió&#322;ka]]></surname>
<given-names><![CDATA[Pawe&#322;]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Silva]]></surname>
<given-names><![CDATA[Armando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Bialystok University of Technology  ]]></institution>
<addr-line><![CDATA[Kleosin ]]></addr-line>
<country>Poland</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Warsaw School of Economics  ]]></institution>
<addr-line><![CDATA[Warsaw ]]></addr-line>
<country>Poland</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Instituto Politécnico do Porto and CEFUP Instituto Superior de Contabilidade e Administração do Porto ]]></institution>
<addr-line><![CDATA[Porto ]]></addr-line>
<country>Portugal</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2021</year>
</pub-date>
<volume>37</volume>
<numero>159</numero>
<fpage>226</fpage>
<lpage>241</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0123-59232021000200226&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0123-59232021000200226&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0123-59232021000200226&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The goal of this paper is to assess the resilience of Portuguese banks to the potential impact of the COVID-19 pandemic. For this purpose, diagnostic variables of 19 banks were selected and prioritized using linear ordering methods. This methodology allowed us to perform rankings of banks using six linear ordering methods and taking into account two weighting procedures and two variants of the diagnostic feature. The study was also supplemented by a sensitivity analysis and an optimization procedure aimed at identifying the optimal linear ordering method. The main results obtained show that the resilience of Portuguese banks is not evenly distributed among individual banks. These findings could be used by regulators to plan support measures for the most fragile banks. JEL classification: G01; G21.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El objetivo de este trabajo es evaluar la resistencia de los bancos portugueses al impacto potencial de la pandemia por COVID-19. Para ello, se seleccionaron y priorizaron variables de diagnóstico de 19 bancos mediante métodos de ordenamiento lineal; esta metodología permitió realizar rankings de bancos utilizando seis métodos de ordenamiento lineal teniendo en cuenta dos procedimientos de ponderación y dos variantes de la característica de diagnóstico. El estudio también se complementó con un análisis de sensibilidad y un procedimiento de optimización destinado a identificar el método ideal de ordenación lineal. Los principales resultados obtenidos muestran que la resistencia de los bancos portugueses no se distribuye uniformemente entre los bancos individuales. Los reguladores podrían utilizar estos resultados para planificar medidas de apoyo a los bancos más frágiles.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo O objetivo deste trabalho é avaliar a resistência dos bancos portugueses ao potencial impacto da pandemia COVID-19. Para isso, variáveis de diagnóstico de 19 bancos foram selecionadas e priorizadas por meio de métodos de ordenação linear. Essa metodologia permitiu classificar os bancos usando seis métodos de ordenação linear e levando em consideração dois procedimentos de ponderação e duas variantes da característica diagnóstica. O estudo também foi complementado com uma análise de sensibilidade e um procedimento de otimização, com o objetivo de identificar o método de ordenação linear ideal. Os principais resultados obtidos mostram que a resistência dos bancos portugueses não se encontra uniformemente distribuída entre os bancos individuais. Os reguladores poderiam usar esses resultados para planear medidas de apoio aos bancos mais frágeis.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[banking sector]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[pandemic crises]]></kwd>
<kwd lng="en"><![CDATA[multidimensional comparative analysis]]></kwd>
<kwd lng="es"><![CDATA[sector bancario]]></kwd>
<kwd lng="es"><![CDATA[COVID-19]]></kwd>
<kwd lng="es"><![CDATA[crisis pandémicas]]></kwd>
<kwd lng="es"><![CDATA[análisis comparativo multidimensional]]></kwd>
<kwd lng="pt"><![CDATA[setor bancário]]></kwd>
<kwd lng="pt"><![CDATA[COVID-19]]></kwd>
<kwd lng="pt"><![CDATA[crise pandêmica]]></kwd>
<kwd lng="pt"><![CDATA[análise comparativa multidimensional]]></kwd>
</kwd-group>
</article-meta>
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