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How Communication Links Influence Coalition Bargaining: A Laboratory Investigation

Author

Listed:
  • Gary E. Bolton

    (Smeal College of Business, Penn State University, University Park, Pennsylvania 16802, and Graduate School of Business Administration, Harvard University, Cambridge, Massachusetts 02139)

  • Kalyan Chatterjee

    (Department of Economics, Penn State University, University Park, Pennsylvania 16802)

  • Kathleen L. McGinn

    (Graduate School of Business Administration, Harvard University, Cambridge, Massachusetts 02139)

Abstract

Complexity of communication is one of the important factors that distinguishes multilateral negotiation from its bilateral cousin. We investigate how the communication configuration affects a three-person coalition negotiation. Restricting who can communicate with whom strongly influences outcomes, and not always in ways that current theory anticipates. Competitive frictions, including a tendency to communicate offers privately, appear to shape much of what we observe. Our results suggest that parties with weaker alternatives would benefit from a more constrained structure, especially if they can be the conduit of communication, while those endowed with stronger alternatives would do well to work within a more public communication structure that promotes competitive bidding.

Suggested Citation

  • Gary E. Bolton & Kalyan Chatterjee & Kathleen L. McGinn, 2003. "How Communication Links Influence Coalition Bargaining: A Laboratory Investigation," Management Science, INFORMS, vol. 49(5), pages 583-598, May.
  • Handle: RePEc:inm:ormnsc:v:49:y:2003:i:5:p:583-598
    DOI: 10.1287/mnsc.49.5.583.15148
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    1. Borm, P.E.M. & Owen, G. & Tijs, S.H., 1992. "On the position value for communication situations," Other publications TiSEM 5a8473e4-1df7-42df-ad53-f, Tilburg University, School of Economics and Management.
    2. Van Huyck, John & Battalio, Raymond & Mathur, Sondip & Van Huyck, Patsy & Ortmann, Andreas, 1995. "On the Origin of Convention: Evidence from Symmetric Bargaining Games," International Journal of Game Theory, Springer;Game Theory Society, vol. 24(2), pages 187-212.
    3. Kalyan Chatterjee & Bhaskar Dutia & Debraj Ray & Kunal Sengupta, 2013. "A Noncooperative Theory of Coalitional Bargaining," World Scientific Book Chapters, in: Bargaining in the Shadow of the Market Selected Papers on Bilateral and Multilateral Bargaining, chapter 5, pages 97-111, World Scientific Publishing Co. Pte. Ltd..
    4. Roger B. Myerson, 1977. "Graphs and Cooperation in Games," Mathematics of Operations Research, INFORMS, vol. 2(3), pages 225-229, August.
    5. Kalyan Chatterjee & Bhaskar Dutta, 2013. "Rubinstein Auctions: On Competition for Bargaining Partners," World Scientific Book Chapters, in: Bargaining in the Shadow of the Market Selected Papers on Bilateral and Multilateral Bargaining, chapter 3, pages 51-77, World Scientific Publishing Co. Pte. Ltd..
    6. Van Huyck, John B & Battalio, Raymond C & Rankin, Frederick W, 1997. "On the Origin of Convention: Evidence from Coordination Games," Economic Journal, Royal Economic Society, vol. 107(442), pages 576-596, May.
    7. Okada, Akira, 1996. "A Noncooperative Coalitional Bargaining Game with Random Proposers," Games and Economic Behavior, Elsevier, vol. 16(1), pages 97-108, September.
    8. J. Keith Murnighan & Alvin E. Roth, 1977. "The Effects of Communication and Information Availability in an Experimental Study of a Three-Person Game," Management Science, INFORMS, vol. 23(12), pages 1336-1348, August.
    9. Valley, Kathleen L. & White, Sally Blount & Neale, Margaret A. & Bazerman, Max H., 1992. "Agents as information brokers: The effects of information disclosure on negotiated outcomes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 51(2), pages 220-236, March.
    10. Binmore, Ken & Swierzbinski, Joe & Hsu, Steven & Proulx, Chris, 1993. "Focal Points and Bargaining," International Journal of Game Theory, Springer;Game Theory Society, vol. 22(4), pages 381-409.
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