Cargando…
Predicting the intention and adoption of wearable payment devices using hybrid SEM-neural network analysis
This study aims to examine the mediating effect of the intention to use wearable payment devices (WPD) between perceived ease of use (PE), perceived usefulness (PU), social influence (SI), perceived trust (TR), and lifestyle compatibility (CM) on the adoption of WPD. Examination was made on the mode...
Autores principales: | Al Mamun, Abdullah, Naznen, Farzana, Yang, Marvello, Yang, Qing, Wu, Mengling, Masukujjaman, Mohammad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336046/ https://www.ncbi.nlm.nih.gov/pubmed/37433838 http://dx.doi.org/10.1038/s41598-023-38333-0 |
Ejemplares similares
-
Predicting the intention to adopt wearable payment devices in China: The use of hybrid SEM-Neural network approach
por: Luyao, Li, et al.
Publicado: (2022) -
Predicting the Intention and Adoption of Near Field Communication Mobile Payment
por: Malarvizhi, Chinnasamy Agamudainambi, et al.
Publicado: (2022) -
Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis
por: Yang, Qing, et al.
Publicado: (2022) -
Modeling the adoption of medical wearable devices among the senior adults: Using hybrid SEM-neural network approach
por: Xinyan, Zou, et al.
Publicado: (2022) -
Predicting the intention and adoption of hydroponic farming among Chinese urbanites
por: Al Mamun, Abdullah, et al.
Publicado: (2023)