An integrated model exploring sellers' strategies in eBay auctions

Authors:
Jaeki Song;Jeff Baker
Affiliations:
Rawls College of Business Administration, Texas Tech University, Lubbock, USA 79409-2101;Rawls College of Business Administration, Texas Tech University, Lubbock, USA 79409-2101
Venue:
Electronic Commerce Research
Year:
2007

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Abstract

This paper presents the results of a field study conducted to elucidate critical factors that determine sellers' net revenue in Internet auctions. Using two datasets of Internet auctions, one dataset for auctions of a DVD (N=378) and one for auctions of an MP3 player (N=412), we conduct multiple regression analysis to determine the impact of 10 seller-controlled variables on sellers' net revenue. We find at least partial support for all of our 13 hypotheses.