Analysis of Multi-attribute Trading Evaluations based on Buyer's Preferences

カテゴリ: 研究会(論文単位)

論文No: IS11003

グループ名: 【C】電子・情報・システム部門 情報システム研究会

発行日: 2011/04/14

タイトル(英語): Analysis of Multi-attribute Trading Evaluations based on Buyer's Preferences

著者名: Murakata Koki(Yamagata University),Matsuo Tokuro(Yamagata University)

著者名(英語): Murakata Koki(Yamagata University),Matsuo Tokuro(Yamagata University)

キーワード: Ｅｖａｌｕａｔｉｏｎ　Ｓｙｓｔｅｍ|Ｅ－ｃｏｍｍｅｒｃｅ|Ｉｎｃｅｎｔｉｖｅ　Ｄｅｓｉｇｎ|Ｉｎｃｏｍｐｌｅｔｅ　Ｉｎｆｏｒｍａｔｉｏｎ|Ａｓｙｍｍｅｔｒｉｃ　Ｉｎｆｏｒｍａｔｉｏｎ|Evaluation System|E-commerce|Incentive Design|Incomplete Information|Asymmetric Information

要約(日本語): Evaluation system in e-commerce is one of the strongest methods in order to provide traders information for buyers.However, existing evaluation systems have problems regarding information incompleteness and asymmetric. To solvethe problem, we propose a new evaluation model to disclosure a lot of item’s and seller information. Our proposed modelis the multiple attribute based model in which seller selects some attributes in dealings to be evaluated. Our proposedmodel gives evaluation value in proportion to number of attributes adopted by seller. This paper shows experiments howour model affects the rate of successful trades. In the situation, we set the parameters where we actually survey usersusing the Internet on concerning trade. Advantages of our proposed model can reduce information of incompletenessand asymmetric on the e-commerce.

要約(英語): Evaluation system in e-commerce is one of the strongest methods in order to provide traders information for buyers.However, existing evaluation systems have problems regarding information incompleteness and asymmetric. To solvethe problem, we propose a new evaluation model to disclosure a lot of item’s and seller information. Our proposed modelis the multiple attribute based model in which seller selects some attributes in dealings to be evaluated. Our proposedmodel gives evaluation value in proportion to number of attributes adopted by seller. This paper shows experiments howour model affects the rate of successful trades. In the situation, we set the parameters where we actually survey usersusing the Internet on concerning trade. Advantages of our proposed model can reduce information of incompletenessand asymmetric on the e-commerce.

原稿種別: 日本語

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