Understanding the factors of mobile payment continuance intention: empirical test in an African context

Detalhes bibliográficos
Autor(a) principal: Franque, Frank Bivar
Data de Publicação: 2021
Outros Autores: Oliveira, Tiago, Tam, Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/125968
Resumo: Franque, F. B., Oliveira, T., & Tam, C. (2021). Understanding the factors of mobile payment continuance intention: empirical test in an African context. Heliyon, 7(8), 1-12. [e07807]. https://doi.org/10.1016/j.heliyon.2021.e07807
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spelling Understanding the factors of mobile payment continuance intention: empirical test in an African contextMobile paymentContinuance intentionExpectation confirmation modelDeLone and McLean information system success modelAfrican contextGeneralSDG 3 - Good Health and Well-beingSDG 8 - Decent Work and Economic GrowthFranque, F. B., Oliveira, T., & Tam, C. (2021). Understanding the factors of mobile payment continuance intention: empirical test in an African context. Heliyon, 7(8), 1-12. [e07807]. https://doi.org/10.1016/j.heliyon.2021.e07807Few studies have been conducted about individuals’ continuance to use m-payment, especially in an African context. This study investigates the continuance intention to use m-payment, employing two theoretical models: the DeLone and McLean information system (D&M IS) success model and the expectation-confirmation model (ECM) in an African context. We collected 338 questionnaires through an online survey to evaluate and validate the proposed theoretical model, using partial least squares – structural equation modelling (PLS-SEM). Our results indicate that the most important predictors of continuance intention to use m-payment are individual performance, use, and satisfaction. The results present useful insight to understand continuance intentions toward mobile payment in an African context. The integration of D&M IS success model, and the ECM model is to allow us to understand the main factors affecting the continuance intention to use mobile payment in the African context. By combining these two models we show how to compensate for and complement the weaknesses and strengths of the models, solidifying our findings of continuance intention with a stronger model that is otherwise not possible.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNFranque, Frank BivarOliveira, TiagoTam, Carlos2021-10-12T04:53:01Z2021-08-012021-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12application/pdfapplication/pdfhttp://hdl.handle.net/10362/125968eng2405-8440PURE: 34206534https://doi.org/10.1016/j.heliyon.2021.e07807info: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:RCAAP2024-03-11T05:06:42Zoai:run.unl.pt:10362/125968Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:45:49.367426Repositório 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 Understanding the factors of mobile payment continuance intention: empirical test in an African context
title Understanding the factors of mobile payment continuance intention: empirical test in an African context
spellingShingle Understanding the factors of mobile payment continuance intention: empirical test in an African context
Franque, Frank Bivar
Mobile payment
Continuance intention
Expectation confirmation model
DeLone and McLean information system success model
African context
General
SDG 3 - Good Health and Well-being
SDG 8 - Decent Work and Economic Growth
title_short Understanding the factors of mobile payment continuance intention: empirical test in an African context
title_full Understanding the factors of mobile payment continuance intention: empirical test in an African context
title_fullStr Understanding the factors of mobile payment continuance intention: empirical test in an African context
title_full_unstemmed Understanding the factors of mobile payment continuance intention: empirical test in an African context
title_sort Understanding the factors of mobile payment continuance intention: empirical test in an African context
author Franque, Frank Bivar
author_facet Franque, Frank Bivar
Oliveira, Tiago
Tam, Carlos
author_role author
author2 Oliveira, Tiago
Tam, Carlos
author2_role 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 Franque, Frank Bivar
Oliveira, Tiago
Tam, Carlos
dc.subject.por.fl_str_mv Mobile payment
Continuance intention
Expectation confirmation model
DeLone and McLean information system success model
African context
General
SDG 3 - Good Health and Well-being
SDG 8 - Decent Work and Economic Growth
topic Mobile payment
Continuance intention
Expectation confirmation model
DeLone and McLean information system success model
African context
General
SDG 3 - Good Health and Well-being
SDG 8 - Decent Work and Economic Growth
description Franque, F. B., Oliveira, T., & Tam, C. (2021). Understanding the factors of mobile payment continuance intention: empirical test in an African context. Heliyon, 7(8), 1-12. [e07807]. https://doi.org/10.1016/j.heliyon.2021.e07807
publishDate 2021
dc.date.none.fl_str_mv 2021-10-12T04:53:01Z
2021-08-01
2021-08-01T00:00:00Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/125968
url http://hdl.handle.net/10362/125968
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2405-8440
PURE: 34206534
https://doi.org/10.1016/j.heliyon.2021.e07807
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