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This article investigates the factors influencing the intention to use biometric mobile payment systems (BMPS) through a hybrid analytical approach, combining structural equation modeling and artificial neural networks. Key determinants identified include performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, and perceived risk, while subjective norms and price value were less significant. The study highlights a gap in existing literature on BMPS adoption, suggesting new bus

Author

lely noorjanna

Language

EN