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Regret under different auction designs: the case of English and Dutch auctions

Author

Listed:
  • Ninoslav Malekovic

    (The Hague Centre for Strategic Studies)

  • Lazaros Goutas

    (Loughborough University)

  • Juliana Sutanto

    (Lancaster University)

  • Dennis Galletta

    (University of Pittsburgh)

Abstract

Studies have shown that users experience regret in online electronic auctions. Our study adds to the research on the antecedents of regret by examining the effects of the major types of auction design on users’ experience of regret. Towards this goal, we analyzed bidders’ experience of regret in English and Dutch auctions. Given that English and Dutch auctions are known to produce different types of bidding behavior and outcomes, we expect that the two types of auction design will also have a differential impact on experiencing regret. We report results from a lab experiment that was implemented as a self-developed mobile application for hotel room reservations. We examined the effects of the two open-bid auction types on the experience of regret, and found that users are more likely to experience regret in Dutch auctions. We point out the theoretical relevance and practical implications of our findings.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:elmark:v:30:y:2020:i:1:d:10.1007_s12525-019-00355-w
    DOI: 10.1007/s12525-019-00355-w
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    1. Richard Engelbrecht-Wiggans & Elena Katok, 2009. "A Direct Test of Risk Aversion and Regret in First Price Sealed-Bid Auctions," Decision Analysis, INFORMS, vol. 6(2), pages 75-86, June.
    2. Michael Spence, 2002. "Signaling in Retrospect and the Informational Structure of Markets," American Economic Review, American Economic Association, vol. 92(3), pages 434-459, June.
    3. Richard Engelbrecht-Wiggans & Elena Katok, 2008. "Regret and Feedback Information in First-Price Sealed-Bid Auctions," Management Science, INFORMS, vol. 54(4), pages 808-819, April.
    4. McGee, Peter, 2013. "Bidding in private-value auctions with uncertain values," Games and Economic Behavior, Elsevier, vol. 82(C), pages 312-326.
    5. Katuščák, Peter & Michelucci, Fabio & Zajíček, Miroslav, 2015. "Does feedback really matter in one-shot first-price auctions?," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 139-152.
    6. Richard Engelbrecht-Wiggans & Elena Katok, 2007. "Regret in auctions: theory and evidence," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 33(1), pages 81-101, October.
    7. Malhotra, Deepak, 2010. "The desire to win: The effects of competitive arousal on motivation and behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 111(2), pages 139-146, March.
    8. Babaioff, Moshe & Blumrosen, Liad & Roth, Aaron, 2015. "Auctions with online supply," Games and Economic Behavior, Elsevier, vol. 90(C), pages 227-246.
    9. 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.
    10. Emel Filiz-Ozbay & Erkut Y. Ozbay, 2007. "Auctions with Anticipated Regret: Theory and Experiment," American Economic Review, American Economic Association, vol. 97(4), pages 1407-1418, September.
    11. Miettinen, Paavo, 2013. "Information acquisition during a Dutch auction," Journal of Economic Theory, Elsevier, vol. 148(3), pages 1213-1225.
    12. Jacob K. Goeree & Theo Offerman, 2003. "Competitive Bidding in Auctions with Private and Common Values," Economic Journal, Royal Economic Society, vol. 113(489), pages 598-613, July.
    13. Timothy N. Cason & Karthik N. Kannan & Ralph Siebert, 2011. "An Experimental Study of Information Revelation Policies in Sequential Auctions," Management Science, INFORMS, vol. 57(4), pages 667-688, April.
    14. Vitali Gretschko & Achim Wambach, 2014. "Information acquisition during a descending auction," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 55(3), pages 731-751, April.
    15. Ashish Arora & Amy Greenwald & Karthik Kannan & Ramayya Krishnan, 2007. "Effects of Information-Revelation Policies Under Market-Structure Uncertainty," Management Science, INFORMS, vol. 53(8), pages 1234-1248, August.
    16. Eric K. Clemons & Il-Horn Hann & Lorin M. Hitt, 2002. "Price Dispersion and Differentiation in Online Travel: An Empirical Investigation," Management Science, INFORMS, vol. 48(4), pages 534-549, April.
    17. 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.
    18. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    19. Richard Engelbrecht-Wiggans, 1989. "The Effect of Regret on Optimal Bidding in Auctions," Management Science, INFORMS, vol. 35(6), pages 685-692, June.
    20. Brocas, Isabelle & Carrillo, Juan D. & Castro, Manuel, 2015. "The nature of information and its effect on bidding behavior: Laboratory evidence in a first price common value auction," Journal of Economic Behavior & Organization, Elsevier, vol. 109(C), pages 26-40.
    21. Cason, Timothy N. & Friedman, Daniel, 1996. "Price formation in double auction markets," Journal of Economic Dynamics and Control, Elsevier, vol. 20(8), pages 1307-1337, August.
    22. G. Anandalingam & Robert W. Day & S. Raghavan, 2005. "The Landscape of Electronic Market Design," Management Science, INFORMS, vol. 51(3), pages 316-327, March.
    23. Karthik N. Kannan, 2012. "Effects of Information Revelation Policies Under Cost Uncertainty," Information Systems Research, INFORMS, vol. 23(1), pages 75-92, March.
    24. 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.
    25. Smith, Kip & Dickhaut, John, 2005. "Economics and emotion: Institutions matter," Games and Economic Behavior, Elsevier, vol. 52(2), pages 316-335, August.
    26. Anuja Hariharan & Marc Thomas Philipp Adam & Timm Teubner & Christof Weinhardt, 2016. "Think, feel, bid: the impact of environmental conditions on the role of bidders’ cognitive and affective processes in auction bidding," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(4), pages 339-355, November.
    27. Anna Dodonova & Yuri Khoroshilov, 2009. "Behavioral biases in auctions: an experimental study," Economics Bulletin, AccessEcon, vol. 29(3), pages 2218-2226.
    28. Amy Greenwald & Karthik Kannan & Ramayya Krishnan, 2010. "On Evaluating Information Revelation Policies in Procurement Auctions: A Markov Decision Process Approach," Information Systems Research, INFORMS, vol. 21(1), pages 15-36, March.
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    More about this item

    Keywords

    Regret; Online auctions; Open ascending-bid auction; Open descending-bid auction; English auction; Dutch auction;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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