A metacognitive decision making based-framework for bank customer loyalty measurement and management
Autor(a) principal: | |
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Data de Publicação: | 2015 |
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/10400.15/2972 |
Resumo: | Bank customer loyalty is becoming a priority concern for banking institutions, as a means of gradually increasing complementary margins and eliminating the lack of liquidity caused by the current economic climate. Following a top down process, this focus culminates at the branch level, where banks’ front office employees are seen as a driving-force for building customer loyalty. At the same time, however, the difficulty in identifying and operationalizing the factors or determinants that most contribute to creating and maintaining bank customer loyalty has long been recognized. In this sense, based on the integrated use of cognitive maps and measuring attractiveness by a categorical based evaluation technique (MACBETH), this study proposes a multiple criteria framework for bank customer loyalty measurement and management. The results show that our framework allows bank customers with higher rates of customer loyalty to be identified and, from a benchmarking perspective, indicates what best practices should be followed to boost long-term relationships. Implications for scholars and practitioners are discussed. |
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A metacognitive decision making based-framework for bank customer loyalty measurement and managementBank customer loyalty measurementCognitive mapsDecision makingMACBETHOperational researchSustainable relationship managementBank customer loyalty is becoming a priority concern for banking institutions, as a means of gradually increasing complementary margins and eliminating the lack of liquidity caused by the current economic climate. Following a top down process, this focus culminates at the branch level, where banks’ front office employees are seen as a driving-force for building customer loyalty. At the same time, however, the difficulty in identifying and operationalizing the factors or determinants that most contribute to creating and maintaining bank customer loyalty has long been recognized. In this sense, based on the integrated use of cognitive maps and measuring attractiveness by a categorical based evaluation technique (MACBETH), this study proposes a multiple criteria framework for bank customer loyalty measurement and management. The results show that our framework allows bank customers with higher rates of customer loyalty to be identified and, from a benchmarking perspective, indicates what best practices should be followed to boost long-term relationships. Implications for scholars and practitioners are discussed.Taylor & FrancisRepositório Científico do Instituto Politécnico de SantarémFerreira, Fernando A. F.Jalali, Marjan S.Meidutė-Kavaliauskienė, IevaViana, Bianca A. C. P.2020-07-09T14:10:34Z20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.15/2972engFerreira, F. A. F., Jalali, M. S., Meidutė-Kavaliauskienė, I., & Viana, B. A. C. P. (2015). A metacognitive decision making based-framework for bank customer loyalty measurement and management. Technological & Economic Development of Economy, 21(2), 280–300. doi: 10.3846/20294913.2014.9817642029-491310.3846/20294913.2014.981764metadata 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:RCAAP2024-01-21T07:34:24Zoai:repositorio.ipsantarem.pt:10400.15/2972Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:54:50.648220Repositório 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 metacognitive decision making based-framework for bank customer loyalty measurement and management |
title |
A metacognitive decision making based-framework for bank customer loyalty measurement and management |
spellingShingle |
A metacognitive decision making based-framework for bank customer loyalty measurement and management Ferreira, Fernando A. F. Bank customer loyalty measurement Cognitive maps Decision making MACBETH Operational research Sustainable relationship management |
title_short |
A metacognitive decision making based-framework for bank customer loyalty measurement and management |
title_full |
A metacognitive decision making based-framework for bank customer loyalty measurement and management |
title_fullStr |
A metacognitive decision making based-framework for bank customer loyalty measurement and management |
title_full_unstemmed |
A metacognitive decision making based-framework for bank customer loyalty measurement and management |
title_sort |
A metacognitive decision making based-framework for bank customer loyalty measurement and management |
author |
Ferreira, Fernando A. F. |
author_facet |
Ferreira, Fernando A. F. Jalali, Marjan S. Meidutė-Kavaliauskienė, Ieva Viana, Bianca A. C. P. |
author_role |
author |
author2 |
Jalali, Marjan S. Meidutė-Kavaliauskienė, Ieva Viana, Bianca A. C. P. |
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. Jalali, Marjan S. Meidutė-Kavaliauskienė, Ieva Viana, Bianca A. C. P. |
dc.subject.por.fl_str_mv |
Bank customer loyalty measurement Cognitive maps Decision making MACBETH Operational research Sustainable relationship management |
topic |
Bank customer loyalty measurement Cognitive maps Decision making MACBETH Operational research Sustainable relationship management |
description |
Bank customer loyalty is becoming a priority concern for banking institutions, as a means of gradually increasing complementary margins and eliminating the lack of liquidity caused by the current economic climate. Following a top down process, this focus culminates at the branch level, where banks’ front office employees are seen as a driving-force for building customer loyalty. At the same time, however, the difficulty in identifying and operationalizing the factors or determinants that most contribute to creating and maintaining bank customer loyalty has long been recognized. In this sense, based on the integrated use of cognitive maps and measuring attractiveness by a categorical based evaluation technique (MACBETH), this study proposes a multiple criteria framework for bank customer loyalty measurement and management. The results show that our framework allows bank customers with higher rates of customer loyalty to be identified and, from a benchmarking perspective, indicates what best practices should be followed to boost long-term relationships. Implications for scholars and practitioners are discussed. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015 2015-01-01T00:00:00Z 2020-07-09T14:10:34Z |
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/10400.15/2972 |
url |
http://hdl.handle.net/10400.15/2972 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ferreira, F. A. F., Jalali, M. S., Meidutė-Kavaliauskienė, I., & Viana, B. A. C. P. (2015). A metacognitive decision making based-framework for bank customer loyalty measurement and management. Technological & Economic Development of Economy, 21(2), 280–300. doi: 10.3846/20294913.2014.981764 2029-4913 10.3846/20294913.2014.981764 |
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 |
Taylor & Francis |
publisher.none.fl_str_mv |
Taylor & Francis |
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) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137038269677568 |