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A Two-Stage DEA Model to Evaluate the Performance of Iberian Banks

2021Journal article Open access
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dc.contributor.authorMoutinho, Victor
dc.contributor.authorVale, José
dc.contributor.authorBertuzi da Silva, Rui
dc.contributor.authorBandeira, Ana M.
dc.contributor.authorPalhares, José
dc.date.accessioned2022-07-25T14:18:36Z
dc.date.available2022-07-25T14:18:36Z
dc.date.issued2021
dc.description.abstractThis paper’s goal is twofold: it aims to assess the performance of 58 Iberian banks and explore the relationship between such performance and the banks’ Intellectual Capital (IC) efficiency during a post-crisis period. As long as the authors are aware, there is a gap in the literature in exploring the relationship between banks’ global performance and IC efficiency. First, the Data Envelopment Analysis model was adopted to measure the efficiency of Iberian banks and rank them according to their performance. Data were collected digitally, specifically by using the Bankscope database provided by Bureau van Dijk. Results show that by improving their resources management practices, banks can significantly increase their efficiency. Then, fractional regressions were used to infer the relationship between IC’s efficiency and the scores obtained in the first stage. Results suggest that Iberian banks’ global performance is mainly determined by their human capital efficiency. Finally, this study stresses the importance of IC measurement to support more efficient decision-making by bank managers.pt_PT
dc.description.sponsorshipThis work was supported by NECE-UBI, Research Unit in Business Science and Economics, sponsored by the Portuguese Foundation for the Development of Science and Technology, project UIDB/04630/2020, funded by national funds through FCT - Fundação para a Ciência e a Tecnologia. The authors (José Vale, Rui Bertuzi and Ana Maria Bandeira) would like to thanks CEOS.PPpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/economies9030115pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/20712
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationCenter of Organizational and Social Studies of Polytechnic of Porto
dc.relation.publisherversionhttps://www.mdpi.com/2227-7099/9/3/115pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectIntellectual Capitalpt_PT
dc.subjectVAICpt_PT
dc.subjectBanking efficiencypt_PT
dc.subjectTwo-stage efficiencypt_PT
dc.subjectData envelopment analysispt_PT
dc.subjectFractional regressionspt_PT
dc.titleA Two-Stage DEA Model to Evaluate the Performance of Iberian Bankspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCenter of Organizational and Social Studies of Polytechnic of Porto
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05422%2F2020/PT
oaire.citation.issue3pt_PT
oaire.citation.startPage115pt_PT
oaire.citation.titleEconomiespt_PT
oaire.citation.volume9pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameVale
person.familyNameSilva
person.familyNameBandeira
person.givenNameJosé
person.givenNameRui
person.givenNameAna Maria Alves
person.identifierA-3005-2017
person.identifier.ciencia-id5D13-A46C-0FAC
person.identifier.ciencia-id3317-85F3-1CB7
person.identifier.orcid0000-0001-8406-0462
person.identifier.orcid0000-0002-1544-5614
person.identifier.orcid0000-0003-2324-9119
person.identifier.ridA-7276-2015
person.identifier.ridA-8304-2017
person.identifier.scopus-author-id55524068600
person.identifier.scopus-author-id57193548580
person.identifier.scopus-author-id55025654000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationfa381508-c70c-4a40-afa0-90510a29b90d
relation.isAuthorOfPublication9d49a7a7-b91f-480b-8b67-7bb20be4865d
relation.isAuthorOfPublication39192682-576f-4fd3-8cb5-63e7313e55f0
relation.isAuthorOfPublication.latestForDiscovery39192682-576f-4fd3-8cb5-63e7313e55f0
relation.isProjectOfPublication6f9b5539-acd9-4f49-9dbd-6f283688e837
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