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Overcoming Psychological Barriers to Peaceful Conflict Resolution

Author

Listed:
  • Corinna Carmen Gayer

    (Otto Suhr Institute for Political Science Free University Berlin, Germany)

  • Shiri Landman

    (Swiss Center for Conflict Research, Management and Resolution Hebrew University of Jerusalem, Israel)

  • Eran Halperin

    (Lauder School of Government IDC Herzliya, Israel)

  • Daniel Bar-Tal

    (School of Education Tel-Aviv University, Tel Aviv, Israel, daniel@post.tau.ac.il)

Abstract

One of the most important psychological barriers to conflict resolution is the rigid structure of the sociopsychological repertoire that evolves in societies immersed in intractable conflict. This article examines ways to overcome the rigidity of this repertoire in the context of the Israeli-Palestinian conflict. Specifically, in line with the prospect theory, the authors assumed that elicitation of beliefs about losses stemming from the continuing conflict may bring about a process of “unfreezing.†To test this assumption, an exploratory study with a national sample of the Israeli-Jewish population and two subsequent experimental studies were conducted. The results demonstrated that exposure to information about losses inherent in continuing the conflict induces higher willingness to acquire new information about possible solutions to the conflict, higher willingness to reevaluate current positions about it, and more support for compromises than the exposure to neutral information or to information about possible gains derived from the peace agreement.

Suggested Citation

  • Corinna Carmen Gayer & Shiri Landman & Eran Halperin & Daniel Bar-Tal, 2009. "Overcoming Psychological Barriers to Peaceful Conflict Resolution," Journal of Conflict Resolution, Peace Science Society (International), vol. 53(6), pages 951-975, December.
    • Handle: RePEc:sae:jocore:v:53:y:2009:i:6:p:951-975
    DOI: 10.1177/0022002709346257
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    References listed on IDEAS

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    1. Eckstein, Zvi & Tsiddon, Daniel, 2004. "Macroeconomic consequences of terror: theory and the case of Israel," Journal of Monetary Economics, Elsevier, vol. 51(5), pages 971-1002, July.
    2. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    3. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    4. Druckman, James N, 2001. "Using Credible Advice to Overcome Framing Effects," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 17(1), pages 62-82, April.
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