Models of satisfaction antecedents

Detalhes bibliográficos
Autor(a) principal: Macieira, Fernando
Data de Publicação: 2020
Outros Autores: Oliveira, Tiago, Yanaze, Mitsuru
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/158461
Resumo: Macieira, F., Oliveira, T., & Yanaze, M. (2020). Models of satisfaction antecedents: A brief review. An integrative literature review of the most discussed satisfaction models in marketing studies. International Journal of Services and Operations Management, 36(3), 348-359. https://doi.org/10.1504/IJSOM.2020.108118
id RCAP_4b641c88b0cf60aa762c591473b764dc
oai_identifier_str oai:run.unl.pt:10362/158461
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Models of satisfaction antecedentsA brief review. An integrative literature review of the most discussed satisfaction models in marketing studiesIntegrative reviewLoyaltyQuality dimensionsRetail service qualityRSQSatisfaction antecedentsSatisfaction modelsService managementService qualityService quality modelSERVQUALManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringManagement of Technology and InnovationSDG 9 - Industry, Innovation, and InfrastructureSDG 8 - Decent Work and Economic GrowthMacieira, F., Oliveira, T., & Yanaze, M. (2020). Models of satisfaction antecedents: A brief review. An integrative literature review of the most discussed satisfaction models in marketing studies. International Journal of Services and Operations Management, 36(3), 348-359. https://doi.org/10.1504/IJSOM.2020.108118This article is an integrative review on satisfaction models. Its main purpose is to bring back the discussion on consumer satisfaction and loyalty - topics that are currently not receiving adequate attention by service management researchers. As a field grows, integrative review addresses the need to aggregate, critique and re-conceptualise the knowledge, as it continues to develop, this being particularly appropriate when contradictory evidence appears (Torraco, 2005). Nevertheless, this article summarises comments and integrates the most important models and theories concerning consumer satisfaction models, and adds suggestions for future research.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNMacieira, FernandoOliveira, TiagoYanaze, Mitsuru2023-09-29T22:16:58Z2020-01-012020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12application/pdfhttp://hdl.handle.net/10362/158461eng1744-2370PURE: 19329363https://doi.org/10.1504/IJSOM.2020.108118info: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:RCAAP2024-03-11T05:40:51Zoai:run.unl.pt:10362/158461Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:08.885704Repositório 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 Models of satisfaction antecedents
A brief review. An integrative literature review of the most discussed satisfaction models in marketing studies
title Models of satisfaction antecedents
spellingShingle Models of satisfaction antecedents
Macieira, Fernando
Integrative review
Loyalty
Quality dimensions
Retail service quality
RSQ
Satisfaction antecedents
Satisfaction models
Service management
Service quality
Service quality model
SERVQUAL
Management Science and Operations Research
Industrial and Manufacturing Engineering
Management of Technology and Innovation
SDG 9 - Industry, Innovation, and Infrastructure
SDG 8 - Decent Work and Economic Growth
title_short Models of satisfaction antecedents
title_full Models of satisfaction antecedents
title_fullStr Models of satisfaction antecedents
title_full_unstemmed Models of satisfaction antecedents
title_sort Models of satisfaction antecedents
author Macieira, Fernando
author_facet Macieira, Fernando
Oliveira, Tiago
Yanaze, Mitsuru
author_role author
author2 Oliveira, Tiago
Yanaze, Mitsuru
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Macieira, Fernando
Oliveira, Tiago
Yanaze, Mitsuru
dc.subject.por.fl_str_mv Integrative review
Loyalty
Quality dimensions
Retail service quality
RSQ
Satisfaction antecedents
Satisfaction models
Service management
Service quality
Service quality model
SERVQUAL
Management Science and Operations Research
Industrial and Manufacturing Engineering
Management of Technology and Innovation
SDG 9 - Industry, Innovation, and Infrastructure
SDG 8 - Decent Work and Economic Growth
topic Integrative review
Loyalty
Quality dimensions
Retail service quality
RSQ
Satisfaction antecedents
Satisfaction models
Service management
Service quality
Service quality model
SERVQUAL
Management Science and Operations Research
Industrial and Manufacturing Engineering
Management of Technology and Innovation
SDG 9 - Industry, Innovation, and Infrastructure
SDG 8 - Decent Work and Economic Growth
description Macieira, F., Oliveira, T., & Yanaze, M. (2020). Models of satisfaction antecedents: A brief review. An integrative literature review of the most discussed satisfaction models in marketing studies. International Journal of Services and Operations Management, 36(3), 348-359. https://doi.org/10.1504/IJSOM.2020.108118
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
2020-01-01T00:00:00Z
2023-09-29T22:16:58Z
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/10362/158461
url http://hdl.handle.net/10362/158461
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1744-2370
PURE: 19329363
https://doi.org/10.1504/IJSOM.2020.108118
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 12
application/pdf
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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution 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
_version_ 1799138154542792704

Registros relacionados