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Implications of Expected Changes in the Seller's Price in Name-Your-Own-Price Auctions

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  • Scott Fay

    (Department of Marketing, Whitman School of Management, Syracuse University, Syracuse, New York 13244)

  • Juliano Laran

    (Department of Marketing, University of Miami, Coral Gables, Florida 33124)

Abstract

The seller's threshold price in name-your-own-price auctions varies over time. However, consumers must bid without knowing when these variations occur because the threshold price is unobservable to them. This paper uses an analytical model and laboratory auctions to explore how the frequency of changes in the threshold price impacts consumer bidding behavior in name-your-own-price auctions. In particular, we consider how the frequency of these expected changes affects the optimal pattern of bid sequences (e.g., strictly increasing over time or following a nonmonotonic pattern). We find that when the probability of a price change is moderate, consumers may have an incentive to use nonmonotonic bidding patterns. Rather than steadily increasing their bids over time, consumers will, at some point in the bid sequence, decrease their bid. However, when the expected probability of a price change is very low or very high, consumers do not have an incentive to use nonmonotonic bidding patterns. Interestingly, impatient bidders are more likely to decrease their bids at some point in the bid sequence than patient bidders. Finally, we find that more frequent price changes may increase customer satisfaction.

Suggested Citation

  • Scott Fay & Juliano Laran, 2009. "Implications of Expected Changes in the Seller's Price in Name-Your-Own-Price Auctions," Management Science, INFORMS, vol. 55(11), pages 1783-1796, November.
  • Handle: RePEc:inm:ormnsc:v:55:y:2009:i:11:p:1783-1796
    DOI: 10.1287/mnsc.1090.1064
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    4. Krämer, Florentin & Schmidt, Klaus M. & Spann, Martin & Stich, Lucas, 2017. "Delegating pricing power to customers: Pay What You Want or Name Your Own Price?," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 125-140.
    5. Chen, Yahong & Li, Jinlin & Huang, He & Ran, Lun & Hu, Yusheng, 2017. "Encouraging information sharing to boost the name-your-own-price auction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 108-117.
    6. Dass, Mayukh & Reddy, Srinivas K. & Iacobucci, Dawn, 2014. "A Network Bidder Behavior Model in Online Auctions: A Case of Fine Art Auctions," Journal of Retailing, Elsevier, vol. 90(4), pages 445-462.
    7. Huang, Ching-I & Chen, Jong-Rong & Lee, Chiu-Yu, 2013. "Buyer behavior under the Best Offer mechanism: A theoretical model and empirical evidence from eBay Motors," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 11-33.
    8. Zhang, Mingyang & Zhang, Juliang & Cheng, T.C.E. & Hua, Guowei, 2018. "Why and how do branders sell new products on flash sale platforms?," European Journal of Operational Research, Elsevier, vol. 270(1), pages 337-351.
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    10. Spann, Martin & Häubl, Gerald & Skiera, Bernd & Bernhardt, Martin, 2012. "Bid-Elicitation Interfaces and Bidding Behavior in Retail Interactive Pricing," Journal of Retailing, Elsevier, vol. 88(1), pages 131-144.

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