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Competition, Transparency, and Reciprocity: A Comparative Study of Auctions and Negotiations

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  • Gregory E. Kersten

    (Concordia University)

  • Tomasz Wachowicz

    (University of Economics)

  • Margaret Kersten

    (Carleton University)

Abstract

The paper discusses experiments aimed at comparing multi-attribute reverse auctions and multi-bilateral negotiations for procuring goods with multiple attributes. Both exchange mechanisms involve a buyer purchasing from one of several sellers. Two types of negotiations are considered: verifiable and non-verifiable. They differ in the sellers’ knowledge of the current best offer on the table; in verifiable negotiations the best offer is automatically shown to every participant, which makes it similar to auctions. Online auctions and negotiation systems were used to study auction and negotiation processes, and the mechanisms’ efficiency. The results show that buyers did best using auctions, followed by non-verifiable and verifiable negotiations. We also looked into the differences between auctions and negotiations in terms of their duration, sellers’ and buyers’ involvement, and efficiency and conclude that the behavior of buyers and sellers cannot be explained solely on the grounds of traditional economics. It can, however, be explained on the grounds of social exchange theory and behavioral economics. In multi-bilateral negotiations competition and social behavior coexist. When transparency is introduced the social effect becomes stronger, weakening the impact of competition.

Suggested Citation

  • Gregory E. Kersten & Tomasz Wachowicz & Margaret Kersten, 2016. "Competition, Transparency, and Reciprocity: A Comparative Study of Auctions and Negotiations," Group Decision and Negotiation, Springer, vol. 25(4), pages 693-722, July.
  • Handle: RePEc:spr:grdene:v:25:y:2016:i:4:d:10.1007_s10726-016-9471-0
    DOI: 10.1007/s10726-016-9471-0
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    References listed on IDEAS

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    Cited by:

    1. Marc T. P. Adam & Timm Teubner & Henner Gimpel, 2018. "No Rage Against the Machine: How Computer Agents Mitigate Human Emotional Processes in Electronic Negotiations," Group Decision and Negotiation, Springer, vol. 27(4), pages 543-571, August.
    2. Kumar, Ravin, 2019. "Addictive Auctions: using lucky-draw and gambling addiction to increase participation during auctioning," OSF Preprints darvs, Center for Open Science.
    3. Bo Yu & Gregory E. Kersten & Rustam Vahidov, 2022. "An experimental examination of credible information disclosure, perception of fairness, and intention to do business in online multi-bilateral negotiations," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 217-237, March.
    4. 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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