A digital payment generalisation model
Autor(a) principal: | |
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Data de Publicação: | 2024 |
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/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. |
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7160 |
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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) |
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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 |
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1799138171636678656 |