东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (5): 749-752.DOI: -

• 论著 • 上一篇    下一篇

集体议价中的动态定价研究

闫妍;刘晓;孟德凯;   

  1. 东北大学工商管理学院;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-05-15 发布日期:2013-06-22
  • 通讯作者: Liu, X.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(70571077);;

On the dynamic pricing during group-buying auction

Yan, Yan (1); Liu, Xiao (1); Meng, De-Kai (1)   

  1. (1) School of Business Administration, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-05-15 Published:2013-06-22
  • Contact: Liu, X.
  • About author:-
  • Supported by:
    -

摘要: 研究了消费者在集体议价过程中的行为特征,找出了影响顾客参与到集体议价中的因素,通过价格机制对其进行控制来吸引更多的顾客.采用独立私有估价模型和其他一些假设,建立了以卖方利润最大化为目标的定价模型,并给出模型的CPSO(混沌粒子群算法)解法,寻求最优的价格.通过仿真实验发现在集体议价活动中,降价梯度可以影响到最终的销售量,通过对价格梯度的调整可以改变顾客的效益值,从而使更多的人参加到集体议价活动中来,增加销售量从而增加企业的利润.

关键词: 电子商务, 集体议价, 动态定价, 混沌粒子群算法, 仿真

Abstract: Behavioral characteristics of the customers during group-buying auction are discussed to find out the influencing factors on customers' participation in group-buying, where seller's appropriate pricing policy can attract more customers. A pricing model is developed on the basis of an independent private evaluation model and some assumptions to maximize seller's profits, with a CPSO (chaos particle swarm optimization) solution given to it to seek optimal prices. Simulation results revealed that the markdown gradient in group-buying activities may affect the final gross sales, and the adjustment of markdown gradient will improve the values of customers' effectiveness. More customers will therefore participate in group-buying activities to increase sales so as to increase the profit of companies.

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