摘要
对于电子商务供应商而言,充分地评估和了解自身产品销售的竞争能力,是提升其竞争力水平的前提。本文在网络消费影响因素的基础上,结合电子商务条件下产品销售的特性,提出了电子商务产品销售能力评价指标体系。利用遗传算法(GA)对BP神经网络进行改进,建立了基于GA-BP神经网络的评价模型。其目的是帮助电子商务供应商准确地了解产品属性及其竞争形势,通过有针对性地更改销售策略,调整服务来提升产品的竞争力。
For the e - commerce provider, the premise of improving competitiveness of e - correnerce production marketing was to fully assess and understand the present compatitiveness level of product. According to the main factors which influence the network consumption, the characteristics of e- conanerce production marketing, this paper gave the architecture of this system, based on back propagation neural network improved by genetic algorithm, evaluation system of competitiveness for e - commerce production marketing was set up. The purpose was to help e- commerce provider understand the competition situations and en- hence their product's competition by changing sales strategy and adjusting service strategy.
出处
《现代情报》
CSSCI
2013年第10期120-123,共4页
Journal of Modern Information
基金
辽宁省突发事件应急管理的多元化IS体系设计(项目编号:LT2010048)
山东省突发事件多元应急信息系统研究与构建(项目编号:ZR2010FL012)
关键词
电子商务
销售能力
评价体系
遗传算法
BP神经网络
e- commerce
competitiveness
evaluation system
genetic algorithm
BP neural networks