It is aimed to enable many consumers to use mobile payment on a large scale and improve the operation and management capabilities of major e-commerce platforms. Based on collating much literature, the comparative analysis method compares different e-commerce platform’s operation methods and mobile payment business scenarios. Furthermore, the vital factors affecting e-commerce operations are found. By the survey and case analysis methods, mobile payment’s impact on e-commerce in different business scenarios is deeply understood. Using the Analytic Hierarchy Process (AHP) method, the e-commerce operation model based on mobile payment in different business scenarios is proposed using Backpropagation (BP) neural network. Based on the in-depth data analysis, the original model is revised and verified using statistical methods. The results show that mobile payment has become a payment method that people are used to when buying goods. The data reliability is higher than 0.8, the validity is 0.77, the common value is higher than 0.5, and the total variance ratio is 72.99. The data quality is relatively high and the error between indexes is 0.892. The fit between the model and the data conforms to the structural equation standard. The mobile payment’s primary e-commerce scenario has the most significant impact on e-commerce operation efficiency, followed by the entertainment transaction scenario and the financial technology scenario. Perceived value plays a regulatory role. Mobile payment’s three scenarios can indirectly affect e-commerce operation efficiency through perceived value. The perceived usefulness, usability, and compatibility will directly affect the operational efficiency of e-commerce. This investigation can provide strong theoretical support for network e-commerce operations and mobile payment business applications.

目的是使许多消费者能够大规模使用移动支付，并改善主要电子商务平台的运营和管理能力。在整理大量文献的基础上，比较分析方法比较了不同电子商务平台的操作方法和移动支付业务场景。此外，发现了影响电子商务运营的重要因素。通过调查和案例分析方法，可以深入了解移动支付在不同业务场景中对电子商务的影响。运用层次分析法（AHP），利用反向传播（BP）神经网络，提出了基于移动支付的不同业务场景下的电子商务运营模型。在深入数据分析的基础上，使用统计方法对原始模型进行了修改和验证。结果表明，移动支付已经成为人们购买商品时惯用的一种支付方式。数据可靠性高于0.8，有效性为0.77，公共值高于0.5，总方差比为72.99。数据质量较高，索引之间的误差为0.892。模型与数据之间的拟合符合结构方程式标准。移动支付的主要电子商务场景对电子商务运营效率的影响最大，其次是娱乐交易场景和金融技术场景。感知价值起着调节作用。移动支付的三种情况可以通过感知价值间接影响电子商务的运营效率。感知的有用性，可用性，而兼容性将直接影响电子商务的运营效率。该调查可以为网络电子商务运营和移动支付业务应用程序提供有力的理论支持。