An Analysis of Feedback Provided by Buyers in an Online Setting
Five hundred comments written by unique buyers about a hundred sellers were gathered from eBay on September 9, 2004. Content Analysis was used to analyze the comments and ratings once they were transferred to an excel spreadsheet. In these online auctions buyer’s comments on feedback ratings systems are what other buyers use to help determine if they are going to purchase an item from the seller. The current types of feedback rating systems do not offer the ability to rank a seller on multiple characteristics that are important to the buyer. This lack of consistency in determining the seller’s expected performance is a major factor in the public’s reluctance to adopt electronic commerce as a means to purchase items.
School Location:USA - North Carolina
Source Type:Master's Thesis
Keywords:auctions electronic commerce trust relevance feedback
Date of Publication:11/22/2004