When do I profit? Uncovering boundary conditions on reputation effects in online auctions

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• 作者：Michelle Carter^a ; ^{michelle.carter@wsu.edu}Author Vitae ; Stefan Tams^b ; ^{stefan.tams@hec.ca}Author Vitae ; Varun Grover^c ; ^{vgrover@clemson.edu}Author Vitae
• 关键词：E-business ; Auctions ; Individual decision-making ; Empirical methods ; Regression methods
• 刊名：Information & Management
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：54
• 期：2
• 页码：256-267
• 全文大小：1166 K
• 卷排序：54

文摘

This study investigates buyer decision-making in online auctions. It examines the combined effects of information cues on price premium. Classical and contemporary theories are used to develop competing hypotheses. Hypotheses are tested using hierarchical linear modeling (HLM). Results confirm most of the effects predicted by classical theories.