The effect of buyer feedback scores on Internet auction prices

Zoonky Lee, Il Im, Sang Jun Lee

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


One of the major roles of Internet intermediaries is to help build trust between buyers and sellers for efficient and safe transactions. The buyer feedback system started in online auctions as one of the trust-building mechanisms on the Internet. As the buyer feedback system is becoming a standard trust-building mechanism in other e-commerce sites as well as in online auction, there is an increasing interest about the impact of the buyer feedback system. On the top of recent studies investigating the effects of buyer feedback scores on auction prices, we provide empirical validations using more sophisticated methods. In this study, we tested the relationship between buyer feedback scores and bidding prices using an empirical data set from a leading consumer-to-consumer (C2C) Internet auction site. Data analysis results show a strong empirical validation of previous studies. Negative feedback is a significant price discount factor in the final auction price on the C2C Internet auction market. The results also show that potential buyers are more sensitive to negative feedback when they are considering buying inherently risky products such as used or refurbished products.

Original languageEnglish
Pages (from-to)51-64
Number of pages14
JournalJournal of Organizational Computing and Electronic Commerce
Issue number1
Publication statusPublished - 2006

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics


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