Please use this identifier to cite or link to this item: http://hdl.handle.net/1901/115
| Title: | An Analysis of Feedback Provided by Buyers in an Online Setting |
| Authors: | Rachel L Farrell |
| Keyword: | Auctions |
| Keyword: | Electronic Commerce |
| Keyword: | Trust |
| Keyword: | Relevance Feedback |
| Issue Date: | 22-Nov-2004 |
| Publisher: | School of Information and Library Science |
| Abstract: | This is an exploratory study that investigates desirable characteristics for a seller to possess in an on-line auction setting based on buyer’s written feedback comments and ratings from positive to negative on the online auction site eBay. It was conducted to determine the common characteristics that buyers write about and to expand the traditional feedback rating system for sellers from one-dimensional to a multi-dimensional. 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 co... |
| URI: | http://hdl.handle.net/1901/115 |
| Appears in Collections: | SILS Master's Papers |
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