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

机译:基于综合评价理论和神经网络的电子商务满意度

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摘要

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.
机译:电子商务的快速发展导致了更多领域满意度的越来越大。 因此,客户的意见已成为相关公司成功的必要作用。 电子商务满意,作为影响电子商务企业表现的关键因素,已成为学术界的研究热点。 本文提出了一种基于模糊综合模型和动态加权合成模型的满意度和物流绩效的合成评价模型。 还提出了一种基于结构式方程模型的修改的ASCI分析方法以与合成方法进行比较。 除此之外,我们还评估了基于消费者满意度的审查数据。 和电子商务企业的运作给出了相应的建议。

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