Conflict Resolution Using Graph Model for Conflict Resolution: Case Study Majalaya' s Textile Industries Waste Pollution

Abstract A new evolvement in graph model for conflict resolution (GMCR), a robust methodology for conflict resolution, is presented in this research effort to incorporate the systems thinking concept into the conventional paradigm of GMCR so that the dynamic nature of water–environmental conflicts can be modeled, and better outcomes obtained. To achieve this objective, a methodology is developed in three phases: static, dynamic, and outcome-based analyses. To develop the methodology, the Tigris–Euphrates basin conflict in the Middle East over the past 30 years, as a real-life case study, is used to show the robustness and capabilities of the proposed approach. Finally, a sustainable resolution to the current conflict is proposed, and the results are discussed. The proposed methodology benefits from improving the existing and often static-based conflict resolution developments by considering the dynamic nature so that the true root causes of complex conflicts are addressed, better strategic insights achieved, and comprehensive resolution provided.

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Optimal waste load allocation using graph model for conflict resolution

Water Science & Technology ◽

10.2166/wst.2016.429 ◽

2017 ◽

Vol 75 (6) ◽

pp. 1512-1522 ◽

Cited By ~ 14

Author(s):

Leila Saberi ◽

Mohammad Hossein Niksokhan

Keyword(s):

Conflict Resolution ◽

Oxygen Demand ◽

Graph Model ◽

Waste Load Allocation ◽

Swarm Optimization ◽

Penalty Costs ◽

Waste Load ◽

Total Treatment ◽

Stability Definitions

In this paper, a new methodology is proposed for waste load allocation in river systems using the decision support system (DSS) for the graph model for conflict resolution II (GMCRII), multi-criteria decision making (MCDM) analysis and the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm. Minimization of total treatment and penalty costs and minimization of biological oxygen demand violation of standards at the check point are considered as the main objectives of this study. At first, the water quality along the river was simulated using the Streeter-Phelps (S-P) equation coupled with the MOPSO model. Thereby a trade-off curve between the objectives is obtained and a set of non-dominated solutions is selected. In the next step, the best alternative is chosen using MCDM techniques and the GMCRII DSS package and non-cooperative stability definitions. The applicability and efficiency of the methodology are examined in a real-world case study of the Sefidrud River in the northern part of Iran.

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A strategic conflict analysis in IT outsourcing using the graph model for conflict resolution

Journal of Enterprise Information Management ◽

10.1108/jeim-12-2018-0266 ◽

2020 ◽

Vol 33 (6) ◽

pp. 1581-1598

Author(s):

Maisa Mendonça Silva ◽

Thiago Poleto ◽

Ana Paula Henriques de Gusmão ◽

Ana Paula Cabral Seixas Costa

Keyword(s):

Conflict Resolution ◽

Graph Model ◽

Critical Issue ◽

Conflict Analysis ◽

Relational Governance ◽

Holistic View ◽

Case Study Methodology ◽

Content Type ◽

Strategic Conflict

PurposeThe purpose of this paper is to propose a strategic conflict analysis, based on the graph model for conflict resolution (GMCR), that is applied to information technology outsourcing (ITO) in a real-world software development and implementation process in Brazil.Design/methodology/approachBecause the idea of this study is to answer “why” the ITO conflicts occur and “how” they can be avoided, the case study methodology was adopted. The software GMCR II was used to analyze the interactions between an IT vendor and an IT client.FindingsThe results suggest that a lack of relational governance is a critical issue that could be handled to improve the interaction between those involved.Research limitations/implicationsThe main results are restricted to the case study and cannot be generalized. Moreover, a specific limitation of this paper pertains to the use of the GMCR and the consequent difficulty for IT vendors and IT clients to work with a large number of actions and to set preferences for several states of conflict.Practical implicationsThe strategic analysis of outsourcing conflicts provides a holistic view of the current situation that may assist the client and vendor in future decisions and identify guidelines to ensure successful ITO. Therefore, this paper provides an effective guide for clients and vendors to better manage conflicts and establish a contingency vision to avoid such disputes.Originality/valueThe ITO conflict is analyzed using the GMCR, considering both perspectives of the outsourcing process (vendors and clients).

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A Two-Stage Decision Framework for Resolving Brownfield Conflicts

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16061039 ◽

2019 ◽

Vol 16 (6) ◽

pp. 1039 ◽

Cited By ~ 2

Author(s):

Qingye Han ◽

Yuming Zhu ◽

Ginger Ke ◽

Hongli Lin

Keyword(s):

Conflict Resolution ◽

Stability Analysis ◽

Graph Model ◽

Third Party ◽

Decision Framework ◽

Two Stage ◽

Third Party Intervention ◽

The Third ◽

Desirable Outcome

Based on the Graph Model of Conflict Resolution (GMCR), a two-stage decision framework is developed to reveal the essence of brownfield incidents and facilitate the resolution of brownfield conflicts caused by the incidents. More particularly, the forward GMCR is utilized in Stage I, the negotiation stage, to simulate the evolution of a Brownfield Conflict (BC) and predict its potential resolution via stability analysis. If no acceptable equilibrium can be obtained, the BC progresses into Stage II, the third-party-intervention stage, where the inverse GMCR is used to assist a third party in intervening the conflict to achieve a desirable outcome. To illustrate the practicality of this framework, a recent BC that occurred in Changzhou, China, is taken as a case study. Invaluable insights are provided through the computation and investigation of the corresponding preference relationships.

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A Two-Stage Decision Framework for Resolving Brownfield Conflicts

10.20944/preprints201902.0206.v1 ◽

2019 ◽

Author(s):

Qingye Han ◽

Ginger Y. Ke ◽

Yuming Zhu ◽

Hongli Lin

Keyword(s):

Conflict Resolution ◽

Stability Analysis ◽

Graph Model ◽

Third Party ◽

Decision Framework ◽

Two Stage ◽

Third Party Intervention ◽

The Third ◽

Desirable Outcome

Based on the Graph Model of Conflict Resolution (GMCR), a two-stage decision framework is developed to reveal the essence of brownfield incidents and facilitate the resolution of brownfield conflicts caused by the incidents. More particularly, the forward GMCR is utilized in Stage I, the negotiation stage, to simulate the evolution of a brownfield conflict (BC) and predict its potential resolution via stability analysis. If no acceptable equilibrium can be obtained, the BC progresses into Stage II, the third-party-intervention stage, where the inverse GMCR is used to assist a third party in intervening the conflict to achieve a desirable outcome. To illustrate the practicality of this framework, a recent BC occurred in Changzhou, China, is taken as a case study. Invaluable insights are provided through the computation and investigation of the corresponding preference relationships.

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