A multiple criteria framework to evaluate bank branch potencial attractiveness
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.15/2984 |
Resumo: | Remarkable progress has occurred over the years in the performance evaluation of bank branches. Even though financial measures are usually considered the most important in assessing branch viability, we posit that insufficient attention has been given to other factors that affect the branches' potential profitability and attractiveness, such as: location features, trade area characteristics and facilities management. Based on the integrated use of cognitive maps and multiple criteria decision analysis, we propose a framework that adds value to the way that potential attractiveness criteria to assess bank branches are selected and to the way that the trade-offs among those criteria are obtained. This framework is the result of a process involving several directors from the five largest banks operating in Portugal, and follows a constructivist approach. Our findings suggest that the use of cognitive maps systematically identifies previously omitted criteria that may assess potential attractiveness. The use of multiple criteria techniques clarify and add transparency to the way trade-offs are dealt with. Advantages and disadvantages of the proposed framework are also discussed. |
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A multiple criteria framework to evaluate bank branch potencial attractivenessBank branchCognitive mapsLocation and facilities managementMCDAPotential attractivenessRemarkable progress has occurred over the years in the performance evaluation of bank branches. Even though financial measures are usually considered the most important in assessing branch viability, we posit that insufficient attention has been given to other factors that affect the branches' potential profitability and attractiveness, such as: location features, trade area characteristics and facilities management. Based on the integrated use of cognitive maps and multiple criteria decision analysis, we propose a framework that adds value to the way that potential attractiveness criteria to assess bank branches are selected and to the way that the trade-offs among those criteria are obtained. This framework is the result of a process involving several directors from the five largest banks operating in Portugal, and follows a constructivist approach. Our findings suggest that the use of cognitive maps systematically identifies previously omitted criteria that may assess potential attractiveness. The use of multiple criteria techniques clarify and add transparency to the way trade-offs are dealt with. Advantages and disadvantages of the proposed framework are also discussed.RoutledgeRepositório Científico do Instituto Politécnico de SantarémFerreira, Fernando A. F.Spahr, Ronald W.Santos, Sérgio P.Rodrigues, Paulo M. M.2020-07-14T10:34:04Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.15/2984engFerreira, F. A. F., Spahr, R. W., Santos, S. P., & Rodrigues, P. M. M. (2012). A Multiple Criteria Framework to Evaluate Bank Branch Potential Attractiveness. International Journal of Strategic Property Management, 16(3), 254–276. doi: 10.3846/1648715X.2012.7076291648-715X10.3846/1648715X.2012.707629metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-21T07:34:26Zoai:repositorio.ipsantarem.pt:10400.15/2984Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:54:51.270302Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
A multiple criteria framework to evaluate bank branch potencial attractiveness |
title |
A multiple criteria framework to evaluate bank branch potencial attractiveness |
spellingShingle |
A multiple criteria framework to evaluate bank branch potencial attractiveness Ferreira, Fernando A. F. Bank branch Cognitive maps Location and facilities management MCDA Potential attractiveness |
title_short |
A multiple criteria framework to evaluate bank branch potencial attractiveness |
title_full |
A multiple criteria framework to evaluate bank branch potencial attractiveness |
title_fullStr |
A multiple criteria framework to evaluate bank branch potencial attractiveness |
title_full_unstemmed |
A multiple criteria framework to evaluate bank branch potencial attractiveness |
title_sort |
A multiple criteria framework to evaluate bank branch potencial attractiveness |
author |
Ferreira, Fernando A. F. |
author_facet |
Ferreira, Fernando A. F. Spahr, Ronald W. Santos, Sérgio P. Rodrigues, Paulo M. M. |
author_role |
author |
author2 |
Spahr, Ronald W. Santos, Sérgio P. Rodrigues, Paulo M. M. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico de Santarém |
dc.contributor.author.fl_str_mv |
Ferreira, Fernando A. F. Spahr, Ronald W. Santos, Sérgio P. Rodrigues, Paulo M. M. |
dc.subject.por.fl_str_mv |
Bank branch Cognitive maps Location and facilities management MCDA Potential attractiveness |
topic |
Bank branch Cognitive maps Location and facilities management MCDA Potential attractiveness |
description |
Remarkable progress has occurred over the years in the performance evaluation of bank branches. Even though financial measures are usually considered the most important in assessing branch viability, we posit that insufficient attention has been given to other factors that affect the branches' potential profitability and attractiveness, such as: location features, trade area characteristics and facilities management. Based on the integrated use of cognitive maps and multiple criteria decision analysis, we propose a framework that adds value to the way that potential attractiveness criteria to assess bank branches are selected and to the way that the trade-offs among those criteria are obtained. This framework is the result of a process involving several directors from the five largest banks operating in Portugal, and follows a constructivist approach. Our findings suggest that the use of cognitive maps systematically identifies previously omitted criteria that may assess potential attractiveness. The use of multiple criteria techniques clarify and add transparency to the way trade-offs are dealt with. Advantages and disadvantages of the proposed framework are also discussed. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012 2012-01-01T00:00:00Z 2020-07-14T10:34:04Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.15/2984 |
url |
http://hdl.handle.net/10400.15/2984 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ferreira, F. A. F., Spahr, R. W., Santos, S. P., & Rodrigues, P. M. M. (2012). A Multiple Criteria Framework to Evaluate Bank Branch Potential Attractiveness. International Journal of Strategic Property Management, 16(3), 254–276. doi: 10.3846/1648715X.2012.707629 1648-715X 10.3846/1648715X.2012.707629 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Routledge |
publisher.none.fl_str_mv |
Routledge |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137038290649088 |