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Integrating an Option-Oriented Attitude Analysis into Investigating the Degree of Stabilities in Conflict Resolution

Author

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  • Peng Xu

    (Nanjing University of Aeronautics and Astronautics)

  • Haiyan Xu

    (Nanjing University of Aeronautics and Astronautics)

  • Ginger Y. Ke

    (Memorial University of Newfoundland)

Abstract

Despite the influences on one’s thoughts and actions, the attitude has usually been overlooked in conflict analysis. The purpose of this paper is to develop a new systematic methodology for the graph model for conflict resolution that can be employed to study real-world conflict situations and gain enhanced insights. More specifically, the proposed method starts with the development of an expanded option-oriented preference structure that is derived from decision makers’ attitudes toward others. Then based on this attitude-driven preference structure, the general concepts of stabilities are extended to contain the definitions of different degrees of stabilities under attitude. In addition, the proposed method is embedded in a decision support system, called NUAAGMCR, to facilitate the analytical process. Through a detailed case study of the two-stage environmental conflict of post-Fukushima controversy in Japan, the predicted resolutions are demonstrated to be more accurate and stable than those derived by the general stability analysis.

Suggested Citation

  • Peng Xu & Haiyan Xu & Ginger Y. Ke, 2018. "Integrating an Option-Oriented Attitude Analysis into Investigating the Degree of Stabilities in Conflict Resolution," Group Decision and Negotiation, Springer, vol. 27(6), pages 981-1010, December.
  • Handle: RePEc:spr:grdene:v:27:y:2018:i:6:d:10.1007_s10726-018-9585-7
    DOI: 10.1007/s10726-018-9585-7
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    References listed on IDEAS

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    1. K W Li & D M Kilgour & K W Hipel, 2005. "Status quo analysis in the graph model for conflict resolution," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 699-707, June.
    2. D. Marc Kilgour & Keith W. Hipel, 2005. "Introduction to the Special Issue on the Graph Model for Conflict Resolution," Group Decision and Negotiation, Springer, vol. 14(6), pages 439-440, November.
    3. D. Marc Kilgour & Keith W. Hipel, 2005. "The Graph Model for Conflict Resolution: Past, Present, and Future," Group Decision and Negotiation, Springer, vol. 14(6), pages 441-460, November.
    4. Luai Hamouda & D. Marc Kilgour & Keith W. Hipel, 2004. "Strength of Preference in the Graph Model for Conflict Resolution," Group Decision and Negotiation, Springer, vol. 13(5), pages 449-462, September.
    5. Hosoe, Nobuhiro, 2015. "Nuclear power plant shutdown and alternative power plant installation scenarios – A nine-region spatial equilibrium analysis of the electric power market in Japan," Energy Policy, Elsevier, vol. 86(C), pages 416-432.
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    Cited by:

    1. Leandro Chaves Rêgo & Giannini Italino Alves Vieira, 2019. "Probabilistic Option Prioritizing in the Graph Model for Conflict Resolution," Group Decision and Negotiation, Springer, vol. 28(6), pages 1149-1165, December.
    2. Sharafat Ali & Haiyan Xu & Najid Ahmad, 2021. "Reviewing the strategies for climate change and sustainability after the US defiance of the Paris Agreement: an AHP–GMCR-based conflict resolution approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11881-11912, August.
    3. Huang, Yuming & Ge, Bingfeng & Hipel, Keith W. & Fang, Liping & Zhao, Bin & Yang, Kewei, 2023. "Solving the inverse graph model for conflict resolution using a hybrid metaheuristic algorithm," European Journal of Operational Research, Elsevier, vol. 305(2), pages 806-819.

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