运筹与管理 ›› 2016, Vol. 25 ›› Issue (2): 258-267.DOI: 10.12005/orms.2016.0072

• 管理科学 • 上一篇    下一篇

基于在线购买历史聚合的B2C电子商务差异化折扣模型

李聪1,2,杨梅1,GajananG.Hegde2,马丽3   

  1. 1.四川师范大学 计算机科学学院,四川 成都 610068;
    2.匹兹堡大学 Katz商学院,美国 匹兹堡 15213;
    3.四川师范大学 图书与档案信息中心,四川 成都 610068
  • 收稿日期:2013-03-29 出版日期:2016-04-25
  • 作者简介:李聪(1978-),男,四川西充人,博士,副教授,硕士生导师,研究方向:电子商务、商务智能;杨梅(1989-),女,纳西族,四川盐边人,硕士研究生,研究方向: 商务智能;Gajanan G. Hegde,男,博士,副教授,研究方向:运营管理;马丽(1979-),女,四川西充人,副教授,研究方向: 信息管理。
  • 基金资助:
    国家自然科学基金项目(71202165);四川省哲学社会科学规划项目(SC13C019)

B2C E-commerce Differentiated Discount Model Based on Aggregated Online Purchase History

LI Cong1,2, YANG Mei1, Gajanan G. Hegde2, MA Li3   

  1. 1.College of Computer Science, Sichuan Normal University, Chengdu 610068, China;
    2.Katz Graduate School of Business, University of Pittsburgh, Pittsburgh 15213, USA;
    3.Library, Sichuan Normal University, Chengdu 610068, China
  • Received:2013-03-29 Online:2016-04-25

摘要: 众多B2C网站已建立起会员等级制度,并据此向买家提供价格折扣。但会员等级制模型仅考虑买家交易金额,无法全面反映买家在线购买历史(online purchase history),故不能准确提供差异化折扣。针对上述问题,提出了一种面向B2C电子商务的差异化折扣模型,该模型包含能体现买家在线购买历史的交易、退单、推荐购买、晒单等四个指标,将买家在线购买历史聚合为一个综合值,进而通过min-max标准化方法进行线性转换,将转换后的聚合值与会员等级基准折扣结合得到最终的差异化折扣,从而使得B2C网站可向同级别会员实施更精准的一对一营销和价格歧视策略。以京东商城为背景的仿真实验结果证明了本文新模型的有效性。

关键词: 电子商务, 差异化折扣模型, 在线购买历史聚合, 信誉

Abstract: Many B2C websites have established their member hierarchy mechanisms to provide price discount to buyers. However, member hierarchy model only considers buyers' transaction amount, which can not reflect comprehensively buyers' online purchase history. Hence, member hierarchy model is unable to provide accurate differentiated discount for individual. To solve the above problem, a differentiated discount model for B2C E-commerce was proposed. This model integrated four indicators which can reflect buyers’ online purchase history, including transaction, withdrawal of order, recommend-to-buy and order show; then the four indicators were aggregated into one value. By using min-max normalization, a linear conversion method, the aggregation value was combined with the base discount of member hierarchy to generate a differentiated discount for target buyer. That means the B2C website can implement more accurate one-to-one marketing and price discrimination strategy. The results of simulation experiment set in 360buy.com showed the validity of the new model.

Key words: e-commerce, differentiated discount model, aggregated online purchase history, reputation

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