Judge Neural Networks for Multi-channel Retailing Competition

摘要：

With the development of online commerce,its becoming more and more important to deal with multi-channel problem,especially when there is an e-channel.In this paper,we establish neural networks to describe customers decision process.Based on the neural networks,a new price setting game is proposed,which can simulate the competition in multichannel.Since the networks can reflect the real situation well,in simulation experiments,the game and neural networks have shown their ability of describing the multi-channel competition.This provides a powerful tool for retail companiesdecision making.

关键词： multi-channel retailer nueral networks e-channel game theory simulation

作者: Hairong Lv Xinxin Bai Wenjun Yin Jin Dong Xiaolin Huang

作者单位: IBM China Research LaboratoryBeijing,China IBM China Research Laboratory Tsinghua University Beijing,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Service Operations and Logistics, and Informatics(IEEE/SOLI’2008)(IEEE服务运作、物流与信息年会)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-12（万方平台首次上网日期，不代表论文的发表时间）