E-commerce satisfaction based on synthetic evaluation theory and neural networks

• DOI: 10.1504/ijcse.2020.109399
• Publication Date: 2020-09-09T11:42:02Z
• Authors: Jiayin Zhao; Yong Lu; Hao Ban; Ying Chen
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

The rapid development of e-commerce has led to the increasing role of satisfaction in more fields. Therefore, the customers' opinion has become a necessary role for the success of related companies. E-commerce satisfaction, as the key factor affecting the performance of e-commerce enterprises, has become a research hotspot in academia. This paper proposes a synthetic evaluation model of satisfaction and logistics performance based on fuzzy synthetic model and dynamic weighted synthetic model respectively. A modified ASCI analysis method based on structured equation model is also proposed to compare with the synthetic method. Beyond this we have also evaluated consumer satisfaction based review data. And corresponding suggestions are given to the operation of e-commerce enterprises.