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A Comparison of Buyer-Determined and Price-Based Multiattribute Mechanisms

Author

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  • Richard Engelbrecht-Wiggans

    (College of Business, University of Illinois, Champaign, Illinois 61820)

  • Ernan Haruvy

    (School of Management, University of Texas at Dallas, Richardson, Texas 75083)

  • Elena Katok

    (Smeal College of Business, The Pennsylvania State University, University Park, Pennsylvania 16802)

Abstract

Reverse auctions are fast becoming the standard for many procurement activities. In the past, the majority of such auctions have been solely price based, but increasingly attributes other than price affect the auction outcome. Specifically, the buyer uses a scoring function to compare bids and the bid with the highest score wins. We investigate two mechanisms commonly used for procurement in business-to-business markets, in a setting in which buyers' welfare is affected by exogenous nonprice attributes such as the quality, service, and past relationships. Under both mechanisms, bidders bid based on price, but in the “buyer-determined” mechanism, the buyer is free to select the bid that maximizes her surplus while in the “price-based” mechanism, the buyer commits to awarding the contract to the low price bidder. We find, both in theory and in the laboratory, that the “buyer-determined” mechanism increases the buyer's welfare only as long as enough suppliers compete. If the number of suppliers is small and the correlation between cost and quality is low, the buyer is better off with the “price-based” mechanism. These findings are intended to help procurement managers make better decisions in designing procurement mechanisms for a variety of settings.

Suggested Citation

  • Richard Engelbrecht-Wiggans & Ernan Haruvy & Elena Katok, 2007. "A Comparison of Buyer-Determined and Price-Based Multiattribute Mechanisms," Marketing Science, INFORMS, vol. 26(5), pages 629-641, 09-10.
  • Handle: RePEc:inm:ormksc:v:26:y:2007:i:5:p:629-641
    DOI: 10.1287/mksc.1070.0281
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    References listed on IDEAS

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    1. Bushnell, James B & Oren, Shmuel S, 1994. "Bidder Cost Revelation in Electric Power Auctions," Journal of Regulatory Economics, Springer, vol. 6(1), pages 5-26, February.
    2. Ockenfels, Axel & Selten, Reinhard, 2005. "Impulse balance equilibrium and feedback in first price auctions," Games and Economic Behavior, Elsevier, vol. 51(1), pages 155-170, April.
    3. Rothkopf, Michael H & Teisberg, Thomas J & Kahn, Edward P, 1990. "Why Are Vickrey Auctions Rare?," Journal of Political Economy, University of Chicago Press, vol. 98(1), pages 94-109, February.
    4. Neugebauer, Tibor & Selten, Reinhard, 2006. "Individual behavior of first-price auctions: The importance of information feedback in computerized experimental markets," Games and Economic Behavior, Elsevier, vol. 54(1), pages 183-204, January.
    5. Robert Wilson, 2002. "Architecture of Power Markets," Econometrica, Econometric Society, vol. 70(4), pages 1299-1340, July.
    6. Yeon-Koo Che, 1993. "Design Competition through Multidimensional Auctions," RAND Journal of Economics, The RAND Corporation, vol. 24(4), pages 668-680, Winter.
    7. Atanu R. Sinha & Eric A. Greenleaf, 2000. "The Impact of Discrete Bidding and Bidder Aggressiveness on Sellers' Strategies in Open English Auctions: Reserves and Covert Shilling," Marketing Science, INFORMS, vol. 19(3), pages 244-265, May.
    8. Fernando Branco, 1997. "The Design of Multidimensional Auctions," RAND Journal of Economics, The RAND Corporation, vol. 28(1), pages 63-81, Spring.
    9. Steven M. Shugan, 2005. "Marketing and Designing Transaction Games," Marketing Science, INFORMS, vol. 24(4), pages 525-530.
    10. Morgan John & Steiglitz Ken & Reis George, 2003. "The Spite Motive and Equilibrium Behavior in Auctions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 2(1), pages 1-25, April.
    11. 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.
    12. Sudhindra Seshadri & Kalyan Chatterjee & Gary L. Lilien, 1991. "Multiple Source Procurement Competitions," Marketing Science, INFORMS, vol. 10(3), pages 246-263.
    13. Utpal M. Dholakia & Itamar Simonson, 2005. "The Effect of Explicit Reference Points on Consumer Choice and Online Bidding Behavior," Marketing Science, INFORMS, vol. 24(2), pages 206-217, October.
    14. Harrison, Glenn W, 1989. "Theory and Misbehavior of First-Price Auctions," American Economic Review, American Economic Association, vol. 79(4), pages 749-762, September.
    15. Uri Gneezy, 2005. "Step-Level Reasoning and Bidding in Auctions," Management Science, INFORMS, vol. 51(11), pages 1633-1642, November.
    16. Ching-Hua Chen-Ritzo & Terry P. Harrison & Anthony M. Kwasnica & Douglas J. Thomas, 2005. "Better, Faster, Cheaper: An Experimental Analysis of a Multiattribute Reverse Auction Mechanism with Restricted Information Feedback," Management Science, INFORMS, vol. 51(12), pages 1753-1762, December.
    17. Scott Fay, 2004. "Partial-Repeat-Bidding in the Name-Your-Own-Price Channel," Marketing Science, INFORMS, vol. 23(3), pages 407-418, February.
    18. Wilfred Amaldoss & Amnon Rapoport, 2005. "Collaborative Product and Market Development: Theoretical Implications and Experimental Evidence," Marketing Science, INFORMS, vol. 24(3), pages 396-414, February.
    19. Michael H. Rothkopf, 1991. "On Auctions with Withdrawable Winning Bids," Marketing Science, INFORMS, vol. 10(1), pages 40-57.
    20. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
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