IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v168y2009i1p291-30510.1007-s10479-008-0366-6.html
   My bibliography  Save this article

Designing sniping agents

Author

Listed:
  • Chuan-Hoo Tan
  • Hock-Hai Teo
  • En Xie
  • Yuan Li

Abstract

Sniping agents are increasingly being deployed to assist bidders in acquiring items in online auctions. This paper reviews the extant auction literature and proposes an overarching sniping agent design framework that could potentially increase the commercial viability of snipping agents. For better alignment between the functions of sniping agents and the needs of human bidders, we review existing literature based on three fundamentals: (1) knowledge about human bidder behavior, (2) awareness of the product(s) desired by a bidder, and (3) an understanding of the research on bidding agents and auction design. The output of this review is the explicit consideration of iterative combinatorial auction agent design, fuzzy set representation of the bidder’s preferences and dynamic derivation of bidding strategies according to the progress of ongoing auctions. Copyright Springer Science+Business Media, LLC 2009

Suggested Citation

  • Chuan-Hoo Tan & Hock-Hai Teo & En Xie & Yuan Li, 2009. "Designing sniping agents," Annals of Operations Research, Springer, vol. 168(1), pages 291-305, April.
  • Handle: RePEc:spr:annopr:v:168:y:2009:i:1:p:291-305:10.1007/s10479-008-0366-6
    DOI: 10.1007/s10479-008-0366-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-008-0366-6
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10479-008-0366-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. LeBaron, Blake, 2000. "Agent-based computational finance: Suggested readings and early research," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 679-702, June.
    2. Aleksandar Pekev{c} & Michael H. Rothkopf, 2003. "Combinatorial Auction Design," Management Science, INFORMS, vol. 49(11), pages 1485-1503, November.
    3. Alvin E. Roth & Axel Ockenfels, 2002. "Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet," American Economic Review, American Economic Association, vol. 92(4), pages 1093-1103, September.
    4. Bajari, Patrick & Hortacsu, Ali, 2003. "The Winner's Curse, Reserve Prices, and Endogenous Entry: Empirical Insights from eBay Auctions," RAND Journal of Economics, The RAND Corporation, vol. 34(2), pages 329-355, Summer.
    5. R. H. Kwon & G. Anandalingam & L. H. Ungar, 2005. "Iterative Combinatorial Auctions with Bidder-Determined Combinations," Management Science, INFORMS, vol. 51(3), pages 407-418, March.
    6. Lucking-Reiley, David, 2000. "Auctions on the Internet: What's Being Auctioned, and How?," Journal of Industrial Economics, Wiley Blackwell, vol. 48(3), pages 227-252, September.
    7. Robert F. Easley & Rafael Tenorio, 2004. "Jump Bidding Strategies in Internet Auctions," Management Science, INFORMS, vol. 50(10), pages 1407-1419, October.
    8. Ravi Bapna & Paulo Goes & Alok Gupta, 2003. "Replicating Online Yankee Auctions to Analyze Auctioneers' and Bidders' Strategies," Information Systems Research, INFORMS, vol. 14(3), pages 244-268, September.
    9. Edieal J. Pinker & Abraham Seidmann & Yaniv Vakrat, 2003. "Managing Online Auctions: Current Business and Research Issues," Management Science, INFORMS, vol. 49(11), pages 1457-1484, November.
    10. Vulkan, Nir, 1999. "Economic Implications of Agent Technology and E-Commerce," Economic Journal, Royal Economic Society, vol. 109(453), pages 67-90, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paulo B. Goes & Gilbert G. Karuga & Arvind K. Tripathi, 2010. "Understanding Willingness-to-Pay Formation of Repeat Bidders in Sequential Online Auctions," Information Systems Research, INFORMS, vol. 21(4), pages 907-924, December.
    2. Axel Ockenfels & David Reiley & Abdolkarim Sadrieh, 2006. "Online Auctions," NBER Working Papers 12785, National Bureau of Economic Research, Inc.
    3. Chen, Kong-Pin & Lai, Hung-pin & Yu, Ya-Ting, 2018. "The seller's listing strategy in online auctions: Evidence from eBay," International Journal of Industrial Organization, Elsevier, vol. 56(C), pages 107-144.
    4. Peters, Michael & Severinov, Sergei, 2006. "Internet auctions with many traders," Journal of Economic Theory, Elsevier, vol. 130(1), pages 220-245, September.
    5. Englmaier, Florian & Schmöller, Arno, 2010. "Determinants and Effects of Reserve Prices in Hattrick Auctions," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 326, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    6. Philipp Herrmann & Dennis O. Kundisch & Mohammad S. Rahman, 2013. "To Bid or Not to Bid Aggressively? An Empirical Study," Working Papers Dissertations 08, Paderborn University, Faculty of Business Administration and Economics.
    7. Tim Grebe & Radosveta Ivanova-Stenzel & Sabine Kröger, 2009. "Buy-it-Now Prices in eBay Auctions-The Field in the Lab," Cahiers de recherche 0950, CIRPEE.
    8. Anwar, Sajid & McMillan, Robert & Zheng, Mingli, 2006. "Bidding behavior in competing auctions: Evidence from eBay," European Economic Review, Elsevier, vol. 50(2), pages 307-322, February.
    9. Katkar Rama & Reiley David H, 2007. "Public versus Secret Reserve Prices in eBay Auctions: Results from a Pokémon Field Experiment," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(2), pages 1-25, January.
    10. Jannett Highfill & Kevin O’Brien, 2007. "Bidding and prices for online art auctions: sofa art or investment," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 31(4), pages 279-292, December.
    11. Marie BLUM & Régis BLAZY, 2021. "The three stages of an auction: how do the bid dynamics influence auction prices? Evidence from live art auctions," Working Papers of LaRGE Research Center 2021-10, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    12. Robert F. Easley & Rafael Tenorio, 2004. "Jump Bidding Strategies in Internet Auctions," Management Science, INFORMS, vol. 50(10), pages 1407-1419, October.
    13. Stowasser, Till & Englmaier, Stowasser & Schmöller, Arno, 2016. "Determinants and Effects of Reserve Prices in Auctions," VfS Annual Conference 2016 (Augsburg): Demographic Change 145540, Verein für Socialpolitik / German Economic Association.
    14. Peter Boatwright & Sharad Borle & Joseph B. Kadane, 2010. "Common Value vs. Private Value Categories in Online Auctions: A Distinction Without a Difference?," Decision Analysis, INFORMS, vol. 7(1), pages 86-98, March.
    15. Alok Gupta & Stephen Parente & Pallab Sanyal, 2012. "Competitive bidding for health insurance contracts: lessons from the online HMO auctions," International Journal of Health Economics and Management, Springer, vol. 12(4), pages 303-322, December.
    16. Fuchs, Matthias & Eybl, Alexander & Höpken, Wolfram, 2011. "Successfully selling accommodation packages at online auctions – The case of eBay Austria," Tourism Management, Elsevier, vol. 32(5), pages 1166-1175.
    17. Seokjoo Andrew Chang, 2012. "Time dynamics of overlapping e-auction mechanisms: Information transfer, strategic user behavior and auction revenue," Information Systems Frontiers, Springer, vol. 14(2), pages 331-342, April.
    18. Daniel Houser & John Wooders, 2006. "Reputation in Auctions: Theory, and Evidence from eBay," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(2), pages 353-369, June.
    19. 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.
    20. Rasmusen Eric Bennett, 2006. "Strategic Implications of Uncertainty over One's Own Private Value in Auctions," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 6(1), pages 1-22, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:168:y:2009:i:1:p:291-305:10.1007/s10479-008-0366-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.