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Multiple Issue Action and Market Algorithms for the World Wide Web

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  • J. Teich
  • H. Wallenius
  • J. Wallenius

Abstract

The Internet is quickly changing the way business-to-consumer and business-to-business commerce is conducted in the world. The Electronic Revolution has also spawned a trend of price wars and, in some instances, chaos because of the zero-sum nature of the electronic channel. The technology has created an opportunity to get beyond the lose-lose nature of single issue price wars by determining sellers' and buyers' preferences across multiple issues and encouraging negotiations, thereby creating possible joint gains for all parties. We develop simple multiple issue algorithms and heuristics that could be used in electronic auctions and electronic markets, to match business to business and consumers based on dovetailing underlying interests and preferences. We provide arguments that such dovetailed matches should help stabilize markets and make them more efficient.

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Bibliographic Info

Paper provided by International Institute for Applied Systems Analysis in its series Working Papers with number ir98109.

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Date of creation: Dec 1998
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Handle: RePEc:wop:iasawp:ir98109

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  1. Roth, Alvin E. & Sotomayor, Marilda, 1992. "Two-sided matching," Handbook of Game Theory with Economic Applications, in: R.J. Aumann & S. Hart (ed.), Handbook of Game Theory with Economic Applications, edition 1, volume 1, chapter 16, pages 485-541 Elsevier.
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  6. Mongell, Susan & Roth, Alvin E, 1991. "Sorority Rush as a Two-Sided Matching Mechanism," American Economic Review, American Economic Association, vol. 81(3), pages 441-64, June.
  7. McCabe, Kevin A & Rassenti, Stephen J & Smith, Vernon L, 1990. "Auction Institutional Design: Theory and Behavior of Simultaneous Multiple-Unit Generalizations of the Dutch and English Auctions," American Economic Review, American Economic Association, vol. 80(5), pages 1276-83, December.
  8. Peterson, R.A. & Balasubramanian, S. & Bronnenberg, B.J.J.A.M., 1997. "Exploring the implications of the internet for consumer marketing," Open Access publications from Tilburg University urn:nbn:nl:ui:12-339976, Tilburg University.
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  10. Teich, Jeffrey E. & Wallenius, Hannele & Wallenius, Jyrki & Zionts, Stanley, 1996. "Identifying Pareto-optimal settlements for two-party resource allocation negotiations," European Journal of Operational Research, Elsevier, vol. 93(3), pages 536-549, September.
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  12. Donald B. Hausch, 1986. "Multi-Object Auctions: Sequential vs. Simultaneous Sales," Management Science, INFORMS, vol. 32(12), pages 1599-1610, December.
  13. Teich, Jeffrey E. & Wallenius, Hannele & Kuula, Markku & Zionts, Stanley, 1995. "A decision support approach for negotiation with an application to agricultural income policy negotiations," European Journal of Operational Research, Elsevier, vol. 81(1), pages 76-87, February.
  14. McAfee, R Preston & McMillan, John, 1987. "Auctions and Bidding," Journal of Economic Literature, American Economic Association, vol. 25(2), pages 699-738, June.
  15. Tenorio, Rafael, 1993. "Revenue Equivalence and Bidding Behavior in a Multi-unit Auction Market: An Empirical Analysis," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 302-14, May.
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  17. Ashenfelter, Orley, 1989. "How Auctions Work for Wine and Art," Journal of Economic Perspectives, American Economic Association, vol. 3(3), pages 23-36, Summer.
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Cited by:
  1. Houssein Ben-Ameur & Brahim Chaib-draa & Peter Kropf, 2002. "Multi-item Auctions for Automatic Negotiation," CIRANO Working Papers 2002s-68, CIRANO.

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