A digital payment generalisation model

Detalhes bibliográficos
Autor(a) principal: Neves, Catarina
Data de Publicação: 2024
Outros Autores: Oliveira, Tiago, Santini, Fernando de Oliveira, Ladeira, Wagner Junior
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/162818
Resumo: Neves, C., Oliveira, T., Santini, F. D. O., & Ladeira, W. J. (2024). A digital payment generalisation model: a meta-analytic structural equation modelling (MASEM) research. Electronic Commerce Research, 1-30. Advance online publication. https://doi.org/10.1007/s10660-023-09795-1 --- This work was supported by national funds through FCT (Fundacção para a Ciência e a Tecnologia), under the project—UIDB/04152/2020— Centro de Investigação em Gestão de Informação (MagIC)/ NOVA IMS.
id RCAP_6a37a4ae3b956cfb9d774dcacf61c540
oai_identifier_str oai:run.unl.pt:10362/162818
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling A digital payment generalisation modela meta-analytic structural equation modelling (MASEM) researchDigital paymentIntention to useMeta-analytic structural equation modellingEconomics, Econometrics and Finance (miscellaneous)Human-Computer InteractionSDG 8 - Decent Work and Economic GrowthNeves, C., Oliveira, T., Santini, F. D. O., & Ladeira, W. J. (2024). A digital payment generalisation model: a meta-analytic structural equation modelling (MASEM) research. Electronic Commerce Research, 1-30. Advance online publication. https://doi.org/10.1007/s10660-023-09795-1 --- This work was supported by national funds through FCT (Fundacção para a Ciência e a Tecnologia), under the project—UIDB/04152/2020— Centro de Investigação em Gestão de Informação (MagIC)/ NOVA IMS.Consumers have used digital payments widely in recent years, and the COVID-19 pandemic accelerated this process. Similarly, academic interest in this topic has followed this trend. Various primary research studies have been published, and defragmentation and conflicting findings were found. Meta-analytic studies are essential for organising the relationships tested and pacifying inconsistent results. Thus, we propose meta-analytic structural equation modelling research from 70 independent studies that acceded 286 effect sizes from more than 30 countries. Testing an integrated model with the main antecedents of digital payment intention to use was possible. We also evaluated indirect and moderator effects. We found that consumers’ trust is the most influential construct in consumer attitudes. Furthermore, we detected the partial mediation effect of attitude on the relationships between social norms, trust, perceived ease of use, and perceived usefulness on digital payment intention to use. Finally, we identified significant moderation effects of the human development countries index and gender on the relationships proposed.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNNeves, CatarinaOliveira, TiagoSantini, Fernando de OliveiraLadeira, Wagner Junior2024-01-192025-01-19T00:00:00Z2024-01-19T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article30application/pdfhttp://hdl.handle.net/10362/162818eng1389-5753PURE: 82273406https://doi.org/10.1007/s10660-023-09795-1info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:45:50Zoai:run.unl.pt:10362/162818Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:59:06.525457Repositório 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 digital payment generalisation model
a meta-analytic structural equation modelling (MASEM) research
title A digital payment generalisation model
spellingShingle A digital payment generalisation model
Neves, Catarina
Digital payment
Intention to use
Meta-analytic structural equation modelling
Economics, Econometrics and Finance (miscellaneous)
Human-Computer Interaction
SDG 8 - Decent Work and Economic Growth
title_short A digital payment generalisation model
title_full A digital payment generalisation model
title_fullStr A digital payment generalisation model
title_full_unstemmed A digital payment generalisation model
title_sort A digital payment generalisation model
author Neves, Catarina
author_facet Neves, Catarina
Oliveira, Tiago
Santini, Fernando de Oliveira
Ladeira, Wagner Junior
author_role author
author2 Oliveira, Tiago
Santini, Fernando de Oliveira
Ladeira, Wagner Junior
author2_role author
author
author
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Neves, Catarina
Oliveira, Tiago
Santini, Fernando de Oliveira
Ladeira, Wagner Junior
dc.subject.por.fl_str_mv Digital payment
Intention to use
Meta-analytic structural equation modelling
Economics, Econometrics and Finance (miscellaneous)
Human-Computer Interaction
SDG 8 - Decent Work and Economic Growth
topic Digital payment
Intention to use
Meta-analytic structural equation modelling
Economics, Econometrics and Finance (miscellaneous)
Human-Computer Interaction
SDG 8 - Decent Work and Economic Growth
description Neves, C., Oliveira, T., Santini, F. D. O., & Ladeira, W. J. (2024). A digital payment generalisation model: a meta-analytic structural equation modelling (MASEM) research. Electronic Commerce Research, 1-30. Advance online publication. https://doi.org/10.1007/s10660-023-09795-1 --- This work was supported by national funds through FCT (Fundacção para a Ciência e a Tecnologia), under the project—UIDB/04152/2020— Centro de Investigação em Gestão de Informação (MagIC)/ NOVA IMS.
publishDate 2024
dc.date.none.fl_str_mv 2024-01-19
2024-01-19T00:00:00Z
2025-01-19T00:00:00Z
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/10362/162818
url http://hdl.handle.net/10362/162818
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1389-5753
PURE: 82273406
https://doi.org/10.1007/s10660-023-09795-1
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv 30
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_ 1799138171636678656