The Growth Trend of E-Auction Seller''s Rating – An Application of the Diffusion of Innovation Model
碩士 === 國立中山大學 === 資訊管理學系研究所 === 98 === Ratings of e-auction sellers have been an important index for e-auction buyers to form their trust. Many researches show that trust impacts the success of e-auction. Reputation or ratings have significant impacts on trust in e-auction. In order to investigate t...
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| Format: | Others |
| Language: | en_US |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/28265062073533850305 |
| Summary: | 碩士 === 國立中山大學 === 資訊管理學系研究所 === 98 === Ratings of e-auction sellers have been an important index for e-auction buyers to form their trust. Many researches show that trust impacts the success of e-auction. Reputation or ratings have significant impacts on trust in e-auction. In order to investigate the phenomena of ratings and trust, this research adopts the diffusion of innovation model to perform an empirical data fitting analysis for the trends of seller’s ratings. The results show that the rating grows slowly in the beginning, and it accelerates when the ratings are accumulated. The maximum growth rate change usually is in the range of 240 to 320 for the numbers of ratings. It implies the sellers with ratings of the amounts sell more and grow quicker. It implies they have gained more trust from the e-auction buyers. The other possibility is that those sellers become more familiar and skillful to perform e-auction.
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