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Negotiation for Cooperation in Logistics Networks: An Experimental Study

Author

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  • Daniel Rief

    (Technische Universität Berlin)

  • Clemens Dinther

    (Karlsruhe Institute of Technology (KIT))

Abstract

This paper investigates the negotiation problem in a supply chain in which a supplier can realize cost savings if she reaches an agreement with a retailer to use the retailers accurate market data for production planning. We study the participants behavior in an asymmetric and a symmetric information scenario and model the experimental study as a reverse ultimatum game. The main finding is that the revelation of information in the game leads to higher payoffs for both parties and to a higher welfare.

Suggested Citation

  • Daniel Rief & Clemens Dinther, 2010. "Negotiation for Cooperation in Logistics Networks: An Experimental Study," Group Decision and Negotiation, Springer, vol. 19(3), pages 211-226, May.
    • Handle: RePEc:spr:grdene:v:19:y:2010:i:3:d:10.1007_s10726-010-9193-7
    DOI: 10.1007/s10726-010-9193-7
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    References listed on IDEAS

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    Cited by:

    1. J. Zambujal-Oliveira, 2021. "Supply Chain Innovation Research: A Conceptual Approach of Information Management with Game Theory," Group Decision and Negotiation, Springer, vol. 30(2), pages 377-394, April.
    2. Manuel Sanchez & Lorena Pradenas & Jean-Christophe Deschamps & Victor Parada, 2016. "Reducing the carbon footprint in a vehicle routing problem by pooling resources from different companies," Netnomics, Springer, vol. 17(1), pages 29-45, July.
    3. Fabian Lang & Andreas Fink, 2015. "Learning from the Metaheuristics: Protocols for Automated Negotiations," Group Decision and Negotiation, Springer, vol. 24(2), pages 299-332, March.

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