Study On User Acceptance And Key Influencting Factors Of Mobile Payment

With the rapid development of mobile e-commerce,more and more companies have joined the competition in all aspects of mobile e-commerce industry chain. The most competitive is in the payment link. From the industry standard to the consumer market, competition in the telecom operators, as well as third-party payment between China UnionPay never stops. However, In the context of mobile e-commerce, competition has transferred from traditional product-centered to customer-centered, business success often depends on the customer. Therefore, the competition in the mobile e-commerce payment business is ultimately competing for users. YL company is typical of representatives of mobile e-commerce payment enterprises, on the basis of theoretical analysis, combined with the reality of the economic background, the paper selected the user of YL company’s mobile payment as research subjects and analyzed the key factors of user acceptance.On the basis of comprehensive analysis of previous research results of user acceptance model and referring to UTAUT model, the paper established the model. The model took performance expectancy, effort expectancy, social influence as the independent variables having an influence on user‘s behavior intention, the behavioral intentions as intermediate variables, and the use behavior is influenced by the behavior intentions and facilitating conditions. Based on the conceptual model, the paper did an empirical research as a case of the user of YL company’s mobile payment with the data from questionnaire, meanwhile did a separate discussion of the impact of perceived risk on user acceptance.The empirical results show as follows: for the user of mobile payment, performance expectancy, effort expectancy, social influence have a positive influence on behavior intention, and have has the same effect on use behavior through behavior intention; facilitating conditions has a positive influence on use behavior; the paper determined the independent variables that had the biggest impact on use behavior is social influence in these independent variables—effort expectancy, performance expectancy, social influence, facilitating conditions. Besides, the paper found that gender and age don’t affect the user acceptance; the paper also found that the higher the perceived risk, the lower user acceptance.