Progress of graph model for conflict resolution in conflict analysis: A systematic review and bibliometrics research

2021 ◽  
pp. 1-12
Author(s):  
Xinyu Zhou ◽  
Xiaoqi Ma
Keyword(s):  
Systematic Review ◽  
Conflict Resolution ◽  
Web Of Science ◽  
Graph Model ◽  
Conflict Analysis ◽  
Decision Makers ◽  
Emerging Trends ◽  
Ordinal Preference ◽  
Research Situation ◽  
Leading Journals

Conflict is an inevitable social phenomenon and the analysis of it can effectively resolve disputes, improve the position of decision makers (DMs), forecast compromise solutions as well. At present, the Graph Model for Conflict Resolution (GMCR), a completely non-quantitative decision support system (DSS) based on DM’s ordinal preference information, is constructed to combat conflict analysis complicated by multiple participant or multiple criteria or both. The purpose of the study is to introduce an overview of GMCR in conflict analyzing through bibliometrics. In order to achieve this goal, a systematic review of articles in leading journals of Web of Science Core Collection (WoSCC) during 1987–2019 is posed, referring to the distribution of countries, institutions, authors, subjects and journals, research topics and hotspots exploration as well as frontiers prediction, by utilizing VOSviewer and CiteSpace. The contributions of this study are not only providing a handy method to grasp generalized scientific research situation, but also demonstrating status quo and emerging trends of GMCR for researchers and everyone who interested in.

Conflict analysis based on the graph model for conflict resolution and grey matrix

2013 ◽  
Vol 3 (1) ◽  
pp. 95-106 ◽  
Author(s):  
Xueshan Han ◽  
Thi Dieu Linh Nguyen ◽  
Haiyan Xu
Keyword(s):  
Conflict Resolution ◽  
Prisoner's Dilemma ◽  
Pure Strategy ◽  
Prisoner’S Dilemma ◽  
Graph Model ◽  
Conflict Analysis ◽  
Decision Makers ◽  
Analysis Model ◽  
Policy Makers ◽  
Content Type

PurposeThe purpose of this paper is to propose a complete theory of grey conflict analysis model based on grey game and the graph model for conflict resolution and also, to illustrate a case of “prisoner's dilemma” in the traditional grey game as an example.Design/methodology/approachBased on the theories of grey game and graph model for conflict resolution, this paper concentrates on the model of grey conflict analysis in a case of two players under the condition of symmetrical loss information. By analyzing decision makers, strategies, states, graph model and grey potential, and the number of decision makers' steps, the pure strategy Nash equilibrium is extended to grey potential‐general metarationality, grey potential‐symmetrical metarationality, and grey potential‐sequential stability. Meanwhile, the logical relationships between solutions are discussed. A specific case study is carried out to illustrate how the proposed grey conflict analysis model is used in practice.FindingsThe results in this paper indicate that more stable solutions are found when one considers the grey potential‐general metarationality, the grey potential‐symmetrical metarationality, and the grey potential‐sequential stability, and then solve the paradox of “prisoner's dilemma”.Practical implicationsThis new grey conflict analysis model could be used to provide useful information for policy makers during existing conflicts or negotiations among parties or enterprises.Originality/valueThe paper succeeds in constructing a new grey conflict analysis model, in which the solution concepts are studied; and the two‐player grey game will be extended to n‐players in the near future.

Strategic analysis of the James Bay hydro-electric dispute in Canada

2005 ◽  
Vol 32 (5) ◽  
pp. 868-880 ◽  
Author(s):  
Jing Ma ◽  
Keith W Hipel ◽  
Mitali De
Keyword(s):  
Conflict Resolution ◽  
Decision Support ◽  
Stability Analysis ◽  
Decision Support System ◽  
Support System ◽  
Graph Model ◽  
Decision Makers ◽  
Native People ◽  
Strategic Analysis ◽  
James Bay

A strategic analysis of the James Bay conflict was carried out by using the graph model for conflict resolution. In 1971, Hydro-Québec, which is the third-largest electrical generating company of North America, began its large-scale hydroelectric projects in the James Bay area. Since the projects would significantly affect the living conditions of the native people and the environment around that region, worldwide debates were stimulated. A conflict model was developed in terms of the decision makers, their options, and their preferences for the situation existing as of January 2002, just prior to the signing of the final agreement. Subsequently, a stability analysis based on the calibrated model indicates that a possible resolution is that Hydro-Québec reduces the number of proposed power stations to appease the native people, who in turn would not initiate lawsuits. Sensitivity and hypergame analyses were also carried out to demonstrate the effects of preferences of decision makers on the final resolution. In practice, the modelling and analysis were implemented using the decision support system, GMCR II®. Key words: Hydroelectric, conflict resolution, decision support system, graph model, stability analysis, sensitivity analysis, hypergame analysis.

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

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).

The graph model for conflict resolution with consensus fuzzy preferences and its application to environmental sustainable development

2020 ◽  
Vol 39 (5) ◽  
pp. 6721-6731
Author(s):  
Nannan Wu ◽  
Yejun Xu ◽  
Lizhong Xu ◽  
Huimin Wang
Keyword(s):  
Sustainable Development ◽  
Conflict Resolution ◽  
Preference Relation ◽  
Graph Model ◽  
Decision Makers ◽  
The Novel ◽  
Equilibrium Solutions ◽  
Fuzzy Preferences ◽  
Fuzzy Solution ◽  
Behavior Characteristics

Conflict of environmental sustainable development as a common phenomenon can be seen everywhere in life. To capture consensus problems of decision makers (DMs) in conflict, a consensus and non-consensus fuzzy preference relation (FPR) matrix is proposed to the framework of the Graph Model for Conflict Resolution (GMCR). Concentrating on the case of two DMs within GMCR paradigm, four standard fuzzy solution concepts are developed into eight fuzzy stability definitions which can fully represent DMs’ behavior characteristics of win-win and self-interested. To demonstrate how the novel GMCR methodology proposed in this paper can be conveniently utilized in practice, it is then applied to an environmental sustainable development conflict with two DMs. The results show that the general fuzzy equilibrium solutions are the intersection of consensus fuzzy equilibrium and non-consensus fuzzy equilibrium. Therefore, the GMCR technique considering DMs’ consensus can effectively predict the various possible solutions of conflict development under different DMs’ behavior preferences and provide new insights for analysts into a conflict.

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