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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/79647


    Title: Condorcet criterion to support consumer decision making for online shopping
    Authors: Wang, Chih-Chien;Yang, Yann-Jy
    楊燕枝
    Contributors: 科技管理與智慧財產研究所
    Keywords: Condorcet criterion, online consumer decision support, vote
    Date: 2007
    Issue Date: 2015-12-14 17:33:35 (UTC+8)
    Abstract: 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.
    Relation: Journal of Statistics and Management Systems, Volume 10, Issue 3, pages 377-393
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1080/09720510.2007.10701260
    DOI: 10.1080/09720510.2007.10701260
    Appears in Collections:[科技管理與智慧財產研究所] 期刊論文

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