A service innovation evaluation framework for tourism e-commerce in China based on BP neural network

Abstract

With the rapid development of tourism e-commerce in China, how to evaluate the effectiveness of tourism e-commerce service innovation in the e-commerce field has become an important and critical issue. Drawing on pertaining literature, this paper chooses the back propagation (BP) neural network model to evaluate the effectiveness of tourism e-commerce service innovation. The study first establishes the evaluation index system that is consistent with the characteristics of the tourism e-commerce service industry and selects ten tourism e-commerce service providers to conduct an empirical analysis. Then Matlab7.0 is employed to simulate this evaluation model and to draw the corresponding conclusions. Finally, this paper summarizes the limitations of the study and proposes future research avenues. The insightful results of this study can mirror the development situation of tourism e-commerce and provide an effective evaluation framework for the tourism e-commerce service innovation performance in China.