This study aimed to examine the influence of performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating condition (FC), hedonic motivation (HM), perceived trust (PT) and lifestyle compatibility (LC) on the intention to adopt M-payment (IMP) as well as the mediating effect of IMP on the adoption of M-payment (AMP). This study adopted a cross-sectional design and collected quantitative data through an online survey from 309 respondents in China. The results revealed the significant positive influence of PE, EE, FC, HM, PT and LC on the IMP. The IMP was found to positively and significantly mediate the relationships of all predictors (except SI) and the actual usage of M-payment. Artificial neural network results validated the high prediction accuracy of the data fitness and highlighted the importance of PE, EE and LC on the IMP among Chinese users.
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