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Total-Cost Procurement Auctions: Impact of Suppliers' Cost Adjustments on Auction Format Choice

Author

Listed:
  • Dimitris Kostamis

    (Kenan-Flagler Business School, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599)

  • Damian R. Beil

    (Stephen M. Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109)

  • Izak Duenyas

    (Stephen M. Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109)

Abstract

We consider sealed- and open-bid total-cost procurement auctions where two attributes are used for contract award decisions: price, which is bid by the supplier, and a fixed cost adjustment, which is included by the buyer to capture nonprice factors such as logistics costs. Suppliers know only their own true production cost and their own cost adjustment, and the buyer does not know the suppliers' true production costs but does know all suppliers' cost adjustments, which she herself sets in order to make an informed total-cost decision. The buyer, who seeks to minimize her total (price and cost adjustment) procurement cost, can choose to run a first-price sealed-bid auction, where suppliers' bids are affected by their beliefs about each other's total costs, or a descending open-bid auction, where only the actual realizations of suppliers' total costs drive the auction outcome. We characterize the buyer's choice between the two formats as a threshold decision over suppliers' cost adjustments and analyze the effect of supplier beliefs on her decision. We also study the impact of additional suppliers on the buyer's decision, the effect of correlation between suppliers' production costs and their cost adjustments, and additive as well as multiplicative total-cost functions. The results suggest that procurement managers can use their evaluations of suppliers' cost adjustments to make better auction format decisions.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormnsc:v:55:y:2009:i:12:p:1985-1999
    DOI: 10.1287/mnsc.1090.1086
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    References listed on IDEAS

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    2. Leon Yang Chu & Yunzeng Wang, 2015. "Bundled Procurement for Technology Acquisition and Future Competition," Manufacturing & Service Operations Management, INFORMS, vol. 17(2), pages 249-261, May.
    3. Nicola Doni & Domenico Menicucci, 2014. "Information Revelation in Procurement Auctions with Two‐Sided Asymmetric Information," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(4), pages 952-968, December.
    4. Stoll, Sebastian & Zöttl, Gregor, 2012. "Information Disclosure in Dynamic Buyer-Determined Procurement Auctions: An Empirical Study," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62044, Verein für Socialpolitik / German Economic Association.
    5. Domenico Colucci & Nicola Doni & Vincenzo Valori, 2012. "Information revelation in procurement auctions: an equivalence result," Working Papers - Mathematical Economics 2012-07, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    6. Lorentziadis, Panos L., 2020. "Competitive bidding in asymmetric multidimensional public procurement," European Journal of Operational Research, Elsevier, vol. 282(1), pages 211-220.
    7. Tunay I. Tunca & D. J. Wu & Fang (Vivian) Zhong, 2014. "An Empirical Analysis of Price, Quality, and Incumbency in Procurement Auctions," Manufacturing & Service Operations Management, INFORMS, vol. 16(3), pages 346-364, July.
    8. Marcelo Olivares & Gabriel Y. Weintraub & Rafael Epstein & Daniel Yung, 2012. "Combinatorial Auctions for Procurement: An Empirical Study of the Chilean School Meals Auction," Management Science, INFORMS, vol. 58(8), pages 1458-1481, August.
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    10. Zhang, Juliang & Xiang, Jie & Cheng, T.C. Edwin & Hua, Guowei & Chen, Cheng, 2019. "An optimal efficient multi-attribute auction for transportation procurement with carriers having multi-unit supplies," Omega, Elsevier, vol. 83(C), pages 249-260.
    11. Shabani, Amir & Visani, Franco & Barbieri, Paolo & Dullaert, Wout & Vigo, Daniele, 2019. "Reliable estimation of suppliers’ total cost of ownership: An imprecise data envelopment analysis model with common weights," Omega, Elsevier, vol. 87(C), pages 57-70.
    12. Stoll, Sebastian & Zöttl, Gregor, 2014. "Transparency in Buyer-Determined Auctions: Should Quality be Private or Public?," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 459, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    13. Pham, Long & Teich, Jeffrey & Wallenius, Hannele & Wallenius, Jyrki, 2015. "Multi-attribute online reverse auctions: Recent research trends," European Journal of Operational Research, Elsevier, vol. 242(1), pages 1-9.
    14. Yili Hong & Chong (Alex) Wang & Paul A. Pavlou, 2016. "Comparing Open and Sealed Bid Auctions: Evidence from Online Labor Markets," Information Systems Research, INFORMS, vol. 27(1), pages 49-69, March.
    15. Alibeiki, Hedayat & Gümüş, Mehmet, 2020. "Supply competition under quality scores: Motivations, information sharing and credibility," International Journal of Production Economics, Elsevier, vol. 226(C).
    16. Zhibin (Ben) Yang & Göker Aydın & Volodymyr Babich & Damian R. Beil, 2012. "Using a Dual-Sourcing Option in the Presence of Asymmetric Information About Supplier Reliability: Competition vs. Diversification," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 202-217, April.
    17. Yu, Hao & Huang, Min & Chao, Xiuli & Yue, Xiaohang, 2022. "Truthful multi-attribute multi-unit double auctions for B2B e-commerce logistics service transactions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    18. Romero Morales, Dolores & Steinberg, Richard, 2014. "Revenue deficiency under second-price auctions in a supply-chain setting," European Journal of Operational Research, Elsevier, vol. 233(1), pages 131-144.
    19. Qian, Cheng & Anderson, Edward, 2020. "Buyer’s optimal information revelation strategy in procurement auctions," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1011-1025.
    20. 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.
    21. 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.
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    25. 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.

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