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What is the Cost of Venting? Evidence from eBay

Author

Abstract
This paper uses data collected from eBay's website to identify why buyers fail to leave (negative) feedback in online markets. Empirical results con¯rm that the fear of retaliation may be an important motivation for buyers not to leave (negative) feedback, while the time and effort cost of reporting may be not.

Suggested Citation

  • Li, Lingfang (Ivy), 2008. "What is the Cost of Venting? Evidence from eBay," MPRA Paper 16949, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:16949
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    File URL: https://mpra.ub.uni-muenchen.de/16949/1/MPRA_paper_16949.pdf
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    References listed on IDEAS

    as
    1. Li, Lingfang (Ivy) & Xiao, Erte, 2010. "Money Talks? An Experimental Study of Rebate in Reputation System Design," MPRA Paper 22401, University Library of Munich, Germany.
    2. Klein, T.J. & Lambertz, C. & Spagnolo, G. & Stahl, K.O., 2006. "Last minute feedback," Other publications TiSEM 10afaa8e-ec7f-4269-9535-a, Tilburg University, School of Economics and Management.
    3. Luís Cabral & Ali Hortaçsu, 2010. "The Dynamics Of Seller Reputation: Evidence From Ebay," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 54-78, March.
    4. Chrysanthos Dellarocas & Charles A. Wood, 2008. "The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias," Management Science, INFORMS, vol. 54(3), pages 460-476, March.
    5. Lingfang (Ivy) Li, 2010. "Reputation, Trust, and Rebates: How Online Auction Markets Can Improve Their Feedback Mechanisms," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 19(2), pages 303-331, June.
    6. Nikiforakis, Nikos, 2008. "Punishment and counter-punishment in public good games: Can we really govern ourselves," Journal of Public Economics, Elsevier, vol. 92(1-2), pages 91-112, February.
    7. Simon Gachter & Ernst Fehr, 2000. "Cooperation and Punishment in Public Goods Experiments," American Economic Review, American Economic Association, vol. 90(4), pages 980-994, September.
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    Citations

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    Cited by:

    1. Luís Cabral & Lingfang (Ivy) Li, 2015. "A Dollar for Your Thoughts: Feedback-Conditional Rebates on eBay," Management Science, INFORMS, vol. 61(9), pages 2052-2063, September.
    2. Judy E. Scott & Dawn G. Gregg & Jae Hoon Choi, 2015. "Lemon complaints: When online auctions go sour," Information Systems Frontiers, Springer, vol. 17(1), pages 177-191, February.
    3. Lingfang (Ivy) Li, 2010. "Reputation, Trust, and Rebates: How Online Auction Markets Can Improve Their Feedback Mechanisms," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 19(2), pages 303-331, June.
    4. Lingfang (Ivy) Li & Erte Xiao, 2014. "Money Talks: Rebate Mechanisms in Reputation System Design," Management Science, INFORMS, vol. 60(8), pages 2054-2072, August.
    5. Ian Ayres & Mahzarin Banaji & Christine Jolls, 2015. "Race effects on eBay," RAND Journal of Economics, RAND Corporation, vol. 46(4), pages 891-917, October.

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    More about this item

    Keywords

    reputation; feedback; asymmetric information;
    All these keywords.

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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