Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/162818
Título: A digital payment generalisation model
Autor: Neves, Catarina
Oliveira, Tiago
Santini, Fernando de Oliveira
Ladeira, Wagner Junior
Palavras-chave: 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
Data: 19-Jan-2024
Resumo: 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.
Descrição: 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 --- %ABS2%--- 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.
Peer review: yes
URI: http://hdl.handle.net/10362/162818
DOI: https://doi.org/10.1007/s10660-023-09795-1
ISSN: 1389-5753
Aparece nas colecções:NIMS: MagIC - Artigos em revista internacional com arbitragem científica (Peer-Review articles in international journals)

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