Condorcet criterion to support consumer decision making for online shopping

被引:0
|
作者
Wang, Chih-Chien [1 ]
Yang, Yann-Jy [2 ]
机构
[1] Natl Taipei Univ, Grad Inst Informat Management, Taipei, Taiwan
[2] Natl Chengchi Univ, Grad Inst Technol & Innovat Management, Taipei, Taiwan
来源
JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS | 2007年 / 10卷 / 03期
关键词
Condorcet criterion; online consumer decision support; vote;
D O I
10.1080/09720510.2007.10701260
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Consumers typically evaluate an enormous amount of product information before making a final purchase. As such, overloading consumers with too much information during the purchasing process can be a serious problem. Eliminating consumers' confusion by filtering out inappropriate product alternatives can be a crucial issue when the number of items in an online store are in excess a consumer's ability to evaluate. This study examines the feasibility of adopts the Condorcet criterion to filter product choice to minimize consumer effort when making a purchase decision. The Condorcet criterion is used frequently in the field of social choice to compare vote counting systems. This study applied the Condorcet criterion to sort alternatives into a useful rank of sale items for consumers. An example is conducted which employs the Condorcet criterion to support online consumer purchasing of hotel rooms.
引用
收藏
页码:377 / 393
页数:17
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