دانلود مقاله ISI انگلیسی شماره 52569
ترجمه فارسی عنوان مقاله

بررسی نظرات و مناقصه در حراجی های آنلاین: یک رگرسیون لذت باورانه یکپارچه و رویکرد سیستم خبره منطق فازی

عنوان انگلیسی
Feedback reviews and bidding in online auctions: An integrated hedonic regression and fuzzy logic expert system approach
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
52569 2013 9 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Decision Support Systems, Volume 55, Issue 4, November 2013, Pages 894–902

ترجمه کلمات کلیدی
حراج آنلاین - رگرسیون لذت باورانه - منطق فازی - رفتار مناقصه
کلمات کلیدی انگلیسی
Online auction; Hedonic regression; Fuzzy logic; Bidding behavior
پیش نمایش مقاله
پیش نمایش مقاله  بررسی نظرات و مناقصه در حراجی های آنلاین: یک رگرسیون لذت باورانه یکپارچه و رویکرد سیستم خبره منطق فازی

چکیده انگلیسی

In online auctions, user-generated feedback reviews provide first-hand information on the trustworthiness of transaction partners to the community. To examine how the feedback reviews are taken into account of the buyers' bidding decisions and thus affect the final winning price of an auction, we thoroughly examine how buyers mentally interpret the seller's reviews and adjust the bids accordingly. With ample bidding results data from a popular auction website eBay.com, this paper adopts an integrated approach of Fuzzy Logic Expert System (FLES) model and a statistical hedonic regression model to examine the research question. In particular, we use the hedonic regression approach to select key variables, which are then entered into a FLES analysis to generate knowledge base regarding the relationships between variables such as item characteristics, auction characteristics and review scores, and the final winning price. This integrated approach combines the advantages of both methods, and also overcomes their own limitations. In addition, we also present the insights gained from bidding behaviors utilizing each of the approaches.