| 电子商务产品销售能力评价体系研究 |
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| 引用本文： | 温廷新,马龙梅,唐小龙.电子商务产品销售能力评价体系研究[J].现代情报,2013,33(10):120-123. |
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| 作者姓名： | 温廷新 马龙梅 唐小龙 |
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| 作者单位： | 辽宁工程技术大学工商管理学院, 辽宁 葫芦岛125105 |
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| 基金项目： | 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）. |
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| 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。
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| 关 键 词： | 电子商务 销售能力 评价体系 遗传算法 BP神经网络 |
Research on the Evaluation System of Competitiveness for E- commerce Production Marketing |
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| Authors: | Wen Tingxin Ma Longmei Tang Xiaolong |
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| Institution: | College of Business Administration, Liaoning Technical University, Huludao 125105, China |
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| Abstract: | 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. |
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| Keywords: | e- commerce competitiveness evaluation system genetic algorithm BP neural networks |
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