Building customers’ resilience to negative information in the airline industry

Detalhes bibliográficos
Autor(a) principal: Augusto, Mário
Data de Publicação: 2019
Outros Autores: Godinho, Pedro, Torres, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/87171
https://doi.org/10.1016/j.jretconser.2019.05.015
Resumo: This study aims to model the conditions that lead to existing customers’ resilience to negative information in the context of the airline industry. In doing so, the study examines the role of electronic word-of-mouth, considering the commitment-consistency principle. Fuzzy-set qualitative comparative analysis is employed along with structural equation modeling. Interaction effects are also studied. The structural equation modeling results show that electronic word-of-mouth influences resilience to negative information directly and indirectly (through the mediation of customer-brand identification). The results of the fuzzy-set qualitative comparative analysis show that customer-brand identification must be combined with electronic word-of-mouth to achieve high resilience to negative information. The combination of self-brand congruity with electronic word-of-mouth can also be sufficient to obtain this outcome. The interaction analysis provides additional support for the amplifying effect of electronic word-of-mouth.
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spelling Building customers’ resilience to negative information in the airline industryResilience to negative informationelectronic word-of-mouthcustomer-brand identificationself-brand congruitymemorable brand experiencesbrand social benefitsThis study aims to model the conditions that lead to existing customers’ resilience to negative information in the context of the airline industry. In doing so, the study examines the role of electronic word-of-mouth, considering the commitment-consistency principle. Fuzzy-set qualitative comparative analysis is employed along with structural equation modeling. Interaction effects are also studied. The structural equation modeling results show that electronic word-of-mouth influences resilience to negative information directly and indirectly (through the mediation of customer-brand identification). The results of the fuzzy-set qualitative comparative analysis show that customer-brand identification must be combined with electronic word-of-mouth to achieve high resilience to negative information. The combination of self-brand congruity with electronic word-of-mouth can also be sufficient to obtain this outcome. The interaction analysis provides additional support for the amplifying effect of electronic word-of-mouth.Elsevier2019-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/87171http://hdl.handle.net/10316/87171https://doi.org/10.1016/j.jretconser.2019.05.015eng0969-6989https://doi.org/10.1016/j.jretconser.2019.05.015Augusto, MárioGodinho, PedroTorres, Pedroinfo: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:RCAAP2021-11-04T12:06:58Zoai:estudogeral.uc.pt:10316/87171Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:08:09.287036Repositório 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 Building customers’ resilience to negative information in the airline industry
title Building customers’ resilience to negative information in the airline industry
spellingShingle Building customers’ resilience to negative information in the airline industry
Augusto, Mário
Resilience to negative information
electronic word-of-mouth
customer-brand identification
self-brand congruity
memorable brand experiences
brand social benefits
title_short Building customers’ resilience to negative information in the airline industry
title_full Building customers’ resilience to negative information in the airline industry
title_fullStr Building customers’ resilience to negative information in the airline industry
title_full_unstemmed Building customers’ resilience to negative information in the airline industry
title_sort Building customers’ resilience to negative information in the airline industry
author Augusto, Mário
author_facet Augusto, Mário
Godinho, Pedro
Torres, Pedro
author_role author
author2 Godinho, Pedro
Torres, Pedro
author2_role author
author
dc.contributor.author.fl_str_mv Augusto, Mário
Godinho, Pedro
Torres, Pedro
dc.subject.por.fl_str_mv Resilience to negative information
electronic word-of-mouth
customer-brand identification
self-brand congruity
memorable brand experiences
brand social benefits
topic Resilience to negative information
electronic word-of-mouth
customer-brand identification
self-brand congruity
memorable brand experiences
brand social benefits
description This study aims to model the conditions that lead to existing customers’ resilience to negative information in the context of the airline industry. In doing so, the study examines the role of electronic word-of-mouth, considering the commitment-consistency principle. Fuzzy-set qualitative comparative analysis is employed along with structural equation modeling. Interaction effects are also studied. The structural equation modeling results show that electronic word-of-mouth influences resilience to negative information directly and indirectly (through the mediation of customer-brand identification). The results of the fuzzy-set qualitative comparative analysis show that customer-brand identification must be combined with electronic word-of-mouth to achieve high resilience to negative information. The combination of self-brand congruity with electronic word-of-mouth can also be sufficient to obtain this outcome. The interaction analysis provides additional support for the amplifying effect of electronic word-of-mouth.
publishDate 2019
dc.date.none.fl_str_mv 2019-09
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/87171
http://hdl.handle.net/10316/87171
https://doi.org/10.1016/j.jretconser.2019.05.015
url http://hdl.handle.net/10316/87171
https://doi.org/10.1016/j.jretconser.2019.05.015
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0969-6989
https://doi.org/10.1016/j.jretconser.2019.05.015
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dc.publisher.none.fl_str_mv Elsevier
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