第三方网上支付企业核心竞争力评价

通过对网上支付行业环境、产业链和主要企业的分析,构建了具有14个评价指标的第三方网上支付企业核心竞争力评价指标体系。设计了BP神经网络模型,选择了6家样本企业进行训练、3家企业进行测试,并运用BP神经网络模型定量识别第三方网上支付企业核心竞争力强弱。研究表明:BP评价模型与传统的线性评价模型相比,具有更高的动态性和自学习性,评价结果误差小,精度高,能充分反映第三方网上支付企业核心竞争力的真实状况,为第三方网上支付企业核心竞争力的打造提供了基准,同时对第三方网上支付企业核心竞争力进行定量评价开辟了一条新途径。

Third-Party Online Payment Core Competence Evaluation Based on BP Neural Network

Through the online payment industry environment, industry chain and the analysis of major enterprises, built with third-party online payment core competence evaluation index system including with 14 evaluation index. BP neural network model is designed to select a sample of six training companies, three companies to test, and the use of BP neural network model quantitatively identify third-party online payment the strength of the core competence of enterprises. Studies have shown that： compared with the traditional linear model, BP evaluation mode is more dynamic and self-learning nature, the error evaluation of the results of small, high precision, fully reflects real situation of the third-party online payment enterprise＇s core competence, for third-party online payment to build the core competetiveness of enterprises to provide a benchmark, while the third-party online payment company for quantitative evaluation of core competencies has opened up a new way.