IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v268y2018i1d10.1007_s10479-017-2475-6.html
   My bibliography  Save this article

Reverse auctions with regret-anticipated bidders

Author

Listed:
  • Xiaohu Qian

    (Northeastern University
    Shenzhen University)

  • Shu-Cherng Fang

    (North Carolina State University)

  • Min Huang

    (Northeastern University
    Northeastern University)

  • Qi An

    (North Carolina State University)

  • Xingwei Wang

    (Northeastern University)

Abstract

Suppliers may experience emotional/behavioral consequences of anticipated regrets that consist of winner and loser regrets in first- and second-price sealed-bid reverse auctions. Constructing mathematical models that incorporate regret theory to derive closed-form solutions of regret-anticipated suppliers’ bid decisions, this paper theoretically examines the effects of anticipated regrets on suppliers’ bid prices, buyer’s expected procurement cost and auction format decision. Comparing with the no regret scenario, we find that winner regret has adverse effects on the buyer’s expected procurement cost in first-price sealed-bid reverse auctions with regret-anticipated suppliers. To mitigate the adverse effects, we propose using the reserve price strategy for the buyer with theoretical analysis and numerical supports. An interesting analysis reveals that as the number of suppliers increases, the optimal reserve price increases or decreases depending on the degree of winner regret is lower or higher than that of loser regret. Also, the classical revenue equivalence theorem no longer holds when the degree of winner regret differs from that of loser regret.

Suggested Citation

  • Xiaohu Qian & Shu-Cherng Fang & Min Huang & Qi An & Xingwei Wang, 2018. "Reverse auctions with regret-anticipated bidders," Annals of Operations Research, Springer, vol. 268(1), pages 293-313, September.
  • Handle: RePEc:spr:annopr:v:268:y:2018:i:1:d:10.1007_s10479-017-2475-6
    DOI: 10.1007/s10479-017-2475-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-017-2475-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-017-2475-6?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. Dimitris Kostamis & Damian R. Beil & Izak Duenyas, 2009. "Total-Cost Procurement Auctions: Impact of Suppliers' Cost Adjustments on Auction Format Choice," Management Science, INFORMS, vol. 55(12), pages 1985-1999, December.
    2. Paul Klemperer, 1999. "Auction Theory: A Guide to the Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 13(3), pages 227-286, July.
    3. Yeon-Koo Che, 1993. "Design Competition through Multidimensional Auctions," RAND Journal of Economics, The RAND Corporation, vol. 24(4), pages 668-680, Winter.
    4. 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.
    5. 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.
    6. Javad Nasiry & Ioana Popescu, 2012. "Advance Selling When Consumers Regret," Management Science, INFORMS, vol. 58(6), pages 1160-1177, June.
    7. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-824, December.
    8. Wei-Shiun Chang & Bo Chen & Timothy C. Salmon, 2015. "An Investigation of the Average Bid Mechanism for Procurement Auctions," Management Science, INFORMS, vol. 61(6), pages 1237-1254, June.
    9. Fangruo Chen, 2007. "Auctioning Supply Contracts," Management Science, INFORMS, vol. 53(10), pages 1562-1576, October.
    10. Riley, John G & Samuelson, William F, 1981. "Optimal Auctions," American Economic Review, American Economic Association, vol. 71(3), pages 381-392, June.
    11. Shani, Yaniv & Danziger, Shai & Zeelenberg, Marcel, 2015. "Choosing between options associated with past and future regret," Organizational Behavior and Human Decision Processes, Elsevier, vol. 126(C), pages 107-114.
    12. Richard Engelbrecht-Wiggans, 1989. "The Effect of Regret on Optimal Bidding in Auctions," Management Science, INFORMS, vol. 35(6), pages 685-692, June.
    13. Michael Braun & Alexander Muermann, 2004. "The Impact of Regret on the Demand for Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 71(4), pages 737-767, December.
    14. David E. Bell, 1982. "Regret in Decision Making under Uncertainty," Operations Research, INFORMS, vol. 30(5), pages 961-981, October.
    15. Milgrom, Paul R & Weber, Robert J, 1982. "A Theory of Auctions and Competitive Bidding," Econometrica, Econometric Society, vol. 50(5), pages 1089-1122, September.
    16. 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.
    17. William Vickrey, 1961. "Counterspeculation, Auctions, And Competitive Sealed Tenders," Journal of Finance, American Finance Association, vol. 16(1), pages 8-37, March.
    18. Zeelenberg, M., 1999. "Anticipated regret, expected feedback and behavioral decision-making," Other publications TiSEM 38371d1b-31fd-45b0-860f-b, Tilburg University, School of Economics and Management.
    19. Michenaud, Sébastien & Solnik, Bruno, 2008. "Applying regret theory to investment choices: Currency hedging decisions," Journal of International Money and Finance, Elsevier, vol. 27(5), pages 677-694, September.
    20. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    21. Klemperer, Paul, 1999. " Auction Theory: A Guide to the Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 13(3), pages 227-86, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qian, Xiaohu & Fang, Shu-Cherng & Huang, Min & Wang, Xingwei, 2019. "Winner determination of loss-averse buyers with incomplete information in multiattribute reverse auctions for clean energy device procurement," Energy, Elsevier, vol. 177(C), pages 276-292.
    2. Jie Xiang & Juliang Zhang & T. C. E. Cheng & Jose Maria Sallan & Guowei Hua, 2019. "Efficient Multi-Attribute Auctions Considering Supply Disruption," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(03), pages 1-28, June.
    3. Xiaohu Qian & Min Huang & Qingyu Zhang & Mingqiang Yin & Xingwei Wang, 2018. "Mechanism design of incentive-based reverse auctions with loss-averse 3PLs under incomplete attributes," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-20, November.
    4. Xiaohu Qian & Mingqiang Yin & Felix T. S. Chan & Kai Yue, 2023. "Winner Determination with Sustainable-Flexible Considerations Under Demand Uncertainty in Transportation Service Procurement Auctions," Networks and Spatial Economics, Springer, vol. 23(4), pages 953-984, December.
    5. Yu Ning & Su Xiu Xu & George Q. Huang & Xudong Lin, 2021. "Optimal digital product auctions with unlimited supply and rebidding behavior," Annals of Operations Research, Springer, vol. 307(1), pages 399-416, December.

    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. Xiaohu Qian & Shu-Cherng Fang & Min Huang & Tiantian Nie & Xingwei Wang, 2019. "Bidding Decisions with Nonequilibrium Strategic Thinking in Reverse Auctions," Group Decision and Negotiation, Springer, vol. 28(4), pages 757-786, August.
    2. Enrico Diecidue & Nils Rudi & Wenjie Tang, 2012. "Dynamic Purchase Decisions Under Regret: Price and Availability," Decision Analysis, INFORMS, vol. 9(1), pages 22-30, March.
    3. Axel Ockenfels & David Reiley & Abdolkarim Sadrieh, 2006. "Online Auctions," NBER Working Papers 12785, National Bureau of Economic Research, Inc.
    4. Kuang, Yunjuan & Ng, Chi To, 2018. "Pricing substitutable products under consumer regrets," International Journal of Production Economics, Elsevier, vol. 203(C), pages 286-300.
    5. Kaplan, Todd R. & Zamir, Shmuel, 2015. "Advances in Auctions," Handbook of Game Theory with Economic Applications,, Elsevier.
    6. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    7. Diecidue, Enrico & Somasundaram, Jeeva, 2017. "Regret theory: A new foundation," Journal of Economic Theory, Elsevier, vol. 172(C), pages 88-119.
    8. Baojun Jiang & Chakravarthi Narasimhan & Özge Turut, 2017. "Anticipated Regret and Product Innovation," Management Science, INFORMS, vol. 63(12), pages 4208-4323, December.
    9. Theodore L. Turocy & Elizabeth Watson, 2012. "Reservation Values and Regret in Laboratory First‐Price Auctions: Context and Bidding Behavior," Southern Economic Journal, John Wiley & Sons, vol. 78(4), pages 1163-1180, April.
    10. 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.
    11. Zhong-Zhong Jiang & Guangwen Kong & Yinghao Zhang, 2021. "Making the Most of Your Regret: Workers’ Relocation Decisions in On-Demand Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 695-713, May.
    12. Jeeva Somasundaram & Enrico Diecidue, 2017. "Regret theory and risk attitudes," Journal of Risk and Uncertainty, Springer, vol. 55(2), pages 147-175, December.
    13. Bogetoft, Peter & Nielsen, Kurt, 2008. "DEA based auctions," European Journal of Operational Research, Elsevier, vol. 184(2), pages 685-700, January.
    14. Martín Egozcue & Xu Guo & Wing-Keung Wong, 2015. "Optimal output for the regret-averse competitive firm under price uncertainty," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 279-295, December.
    15. Dirk Bergemann & Karl Schlag, 2012. "Robust Monopoly Pricing," World Scientific Book Chapters, in: Robust Mechanism Design The Role of Private Information and Higher Order Beliefs, chapter 13, pages 417-441, World Scientific Publishing Co. Pte. Ltd..
    16. Ramanathan Subramaniam & R. Venkatesh, 2009. "Optimal Bundling Strategies in Multiobject Auctions of Complements or Substitutes," Marketing Science, INFORMS, vol. 28(2), pages 264-273, 03-04.
    17. Zheng, Jiakun, 2021. "Willingness to pay for reductions in health risks under anticipated regret," Journal of Health Economics, Elsevier, vol. 78(C).
    18. Hannu Vartiainen, 2003. "Auction Design without Commitment," Working Papers 2003.24, Fondazione Eni Enrico Mattei.
    19. Marie BLUM, 2021. "Auction hosts: are they really impartial?," Working Papers of LaRGE Research Center 2021-09, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    20. Alcalde, José & Dahm, Matthias, 2019. "Dual sourcing with price discovery," Games and Economic Behavior, Elsevier, vol. 115(C), pages 225-246.

    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:268:y:2018:i:1:d:10.1007_s10479-017-2475-6. 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.