Neural Network Based Research on E-Commerce Service Recovery Early Warning

摘要：

To enhance consumers’ satisfaction and loyalty is the basis of gaining profit for E-Commerce. However, these must be based on an excellent quality of service as a precondition. Therefore, understanding of the respective qualities of service, early warning for the service failure parts, and timely remedying are definitely necessary to E-Commerce. In this paper, through analyzing the impact factors of E-Commerce service quality, the author use neural network to establish early warning model of E-Commerce service recovery, proving the model applicability and feasibility by the application of simulated data tests.

关键词： neural network E-Commerce service recovery early warning

作者: Na Wu

作者单位: Economy and Management Department,HuaXia College of Wuhan University of Technology,Wuhan,430023,China

会议类型: 国际会议

会议名称: The Ninth Wuhan International Conference on E-Business(第九届武汉电子商务国际会议)

会议地点: 武汉

会议语种:英文

页码: 486-491

在线出版日期: 2010-05-29（万方平台首次上网日期，不代表论文的发表时间）