Based on Neural Network Approach Predicting Mobile Payment Adoption Inclination Determinants in Southest Asia
نویسندگان
چکیده
The adoption of mobile payments is crucial for the development of mobile commerce. Based on the revised availability of technology readiness, we build the mobile payment adoption inclination model by integrating technology Acceptance 297samples Model. With data, neural network model is used to predict adoption of mobile payment determinants tilt and model compared with the multiple regression analysis. The results show that the neural network model exceed the multiple regression model, perceived usefulness and perceived ease of use are followed. Finally, the results of the most important indicators are discussed mobile tilt payment adoption, discomfort, enjoyment, innovativeness and insecurity, suggestions for the development of mobile payments are proposed.
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