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Bidding Strategies and Consumer Savings in NYOP Auctions

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  • Joo, Mingyu
  • Mazumdar, Tridib
  • Raj, S.P.

Abstract

We investigate how bidding strategies of successful bidders influence the savings they derive from a Name Your Own Price (NYOP) retailer relative to buying the same product from a retailer who posts prices. Utilizing bidding data for hotel room purchases we demonstrate that consumer savings rate depends positively on consumer decision to haggle (# bids ≥3) and on the shape of the bid function. Relative to non-hagglers (# bids ≤2), hagglers who employ a constant bid increment (i.e., a linear) strategy and a decreasing bid increment (i.e., concave) strategy save more, while those who employ an increasing bid increment strategy (i.e., convex) fare no better. A post hoc analysis also shows that hagglers place many bids in the pursuit of higher quality products, while non-hagglers save friction costs by sacrificing quality (e.g., targeting lower star hotels and adjusting the days of travel).

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  • Joo, Mingyu & Mazumdar, Tridib & Raj, S.P., 2012. "Bidding Strategies and Consumer Savings in NYOP Auctions," Journal of Retailing, Elsevier, vol. 88(1), pages 180-188.
  • Handle: RePEc:eee:jouret:v:88:y:2012:i:1:p:180-188
    DOI: 10.1016/j.jretai.2011.07.004
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    References listed on IDEAS

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    Cited by:

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    2. 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.
    3. Jin Li & Kwok Fai Tso & Fangtao Liu, 2017. "Profit earning and monetary loss bidding in online entertainment shopping: the impacts of bidding patterns and characteristics," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(1), pages 77-90, February.
    4. 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.
    5. Jianbin Li & Qifei Wang & Hong Yan & Stuart X. Zhu, 2016. "Optimal Remanufacturing and Pricing Strategies Under Name-Your-Own-Price Auctions and Stochastic Demand," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(01), pages 1-22, February.
    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. Nicole Koschate-Fischer & Katharina Wüllner, 2017. "New developments in behavioral pricing research," Journal of Business Economics, Springer, vol. 87(6), pages 809-875, August.

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