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Bidding Behavior in Descending and Ascending Auctions

Author

Listed:
  • Amar Cheema

    (McIntire School of Commerce, University of Virginia, Charlottesville, Virginia 22903)

  • Dipankar Chakravarti

    (Carey Business School, Johns Hopkins University, Baltimore, Maryland 21202)

  • Atanu R. Sinha

    (Leeds School of Business, University of Colorado, Boulder, Colorado 80309)

Abstract

This research examines how individual differences and institutional practices influence consumer bidding in auctions. Bidders may be motivated by different goals, e.g., thrill (of winning the item, with minimal attention to what they pay for it) versus prudence (winning the item at a price at or below its perceived value). Also, innate or auctioneer-induced differences may exist in the precision and salience of bidder cognitions about the item's value. We report two studies on how these motivational and cognitive factors influence bids in descending and ascending auctions, respectively. Each study also manipulated a situational variable ( wait time at each price step). The two auctions realized different average prices for the same item set. Average bids were higher in the descending (versus ascending) auction in several study conditions. In both auction formats, bidders primed with thrill (versus prudence) bid higher, but more precise and/or salient values attenuated this goal effect. Among other results, in the descending auction, longer wait times elicited higher bids from bidders primed with thrill (but not prudence). In the ascending auction, longer wait times produced lower bids for bidders primed with prudence (but not thrill). These findings on consumer bidding behavior have practical implications for auction design.

Suggested Citation

  • Amar Cheema & Dipankar Chakravarti & Atanu R. Sinha, 2012. "Bidding Behavior in Descending and Ascending Auctions," Marketing Science, INFORMS, vol. 31(5), pages 779-800, September.
  • Handle: RePEc:inm:ormksc:v:31:y:2012:i:5:p:779-800
    DOI: 10.1287/mksc.1120.0730
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    References listed on IDEAS

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    Cited by:

    1. März, Armin & Lachner, Michael & Heumann, Christian G. & Schumann, Jan H. & von Wangenheim, Florian, 2021. "How You Remind Me! The Influence of Mobile Push Notifications on Success Rates in Last-Minute Bidding," Journal of Interactive Marketing, Elsevier, vol. 54(C), pages 11-24.
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    3. Adam, Marc T.P. & Krämer, Jan & Müller, Marius B., 2015. "Auction Fever! How Time Pressure and Social Competition Affect Bidders’ Arousal and Bids in Retail Auctions," Journal of Retailing, Elsevier, vol. 91(3), pages 468-485.
    4. Zhang, Zelin & Haruvy, Ernan & Popkowski Leszczyc, Peter T.L., 2022. "On The Reference Point Effect of Reserve and Buy It Now Prices," Journal of Retailing, Elsevier, vol. 98(2), pages 356-372.
    5. Haruvy, Ernan & Popkowski Leszczyc, Peter T.L., 2016. "Measuring the Impact of Price Guarantees on Bidding in Consumer Online Auctions," Journal of Retailing, Elsevier, vol. 92(1), pages 96-108.
    6. Michael Scholz & Markus Franz & Oliver Hinz, 2016. "The Ambiguous Identifier Clustering Technique," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 143-156, May.
    7. Bruce L. Alford & Otis W. Gilley & Charles M. Wood & Obinna Obilo, 2017. "“No sale” items in auctions: do they really matter?," Marketing Letters, Springer, vol. 28(1), pages 155-168, March.
    8. 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.
    9. Benjamin Balzer & Antonio Rosato & Jonas von Wangenheim, 2020. "Dutch versus First-Price Auctions with Dynamic Expectations-Based Reference-Dependent Preferences," Working Paper Series 2020/05, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    10. Cong Feng & Scott Fay & K. Sivakumar, 2016. "Overbidding in electronic auctions: factors influencing the propensity to overbid and the magnitude of overbidding," Journal of the Academy of Marketing Science, Springer, vol. 44(2), pages 241-260, March.
    11. Balzer, Benjamin & Rosato, Antonio & von Wangenheim, Jonas, 2022. "Dutch vs. first-price auctions with expectations-based loss-averse bidders," Journal of Economic Theory, Elsevier, vol. 205(C).
    12. Nicole Koschate-Fischer & Katharina Wüllner, 2017. "New developments in behavioral pricing research," Journal of Business Economics, Springer, vol. 87(6), pages 809-875, August.
    13. Ninoslav Malekovic & Lazaros Goutas & Juliana Sutanto & Dennis Galletta, 2020. "Regret under different auction designs: the case of English and Dutch auctions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(1), pages 151-161, March.
    14. Mukherjee, Sudipta & Pandelaere, Mario, 2023. "The influence of self-decided prices on expected quality," Journal of Business Research, Elsevier, vol. 160(C).
    15. Haoyu Liu & Lifeng Yang & Duane T. Wegener, 2023. "Effects of labeling on risk taking in “leveling-up” decisions: ascending versus descending permutations and ending in terminal values," Marketing Letters, Springer, vol. 34(1), pages 125-138, March.
    16. Ronald Peeters & Martin Strobel & Dries Vermeulen & Markus Walzl, 2016. "The Impact of the Irrelevant: Temporary Buy-Options and Bidding Behavior in Auctions," Games, MDPI, vol. 7(1), pages 1-19, March.

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    Keywords

    auctions; bidding; goals; pricing; value;
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