Conflict Resolution in Practice

Xu, Haiyan; Hipel, Keith W.; Kilgour, D. Marc; Fang, Liping

doi:10.1007/978-3-319-77670-5_1

Cited by 5 publications

(9 citation statements)

References 61 publications

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“…The GMCR (Fang et al , 1993; Xu et al , 2018) is a quadruple of four components, the set of DMs, the set of states, the directed graph and preference over states S, as:The set of DMs: 2≤false|Nfalse|<∞ ; The set of states, 2≤|S|<∞ , The directed graph GRAPHi=false(S, Aifalse) , where Ai is the set of arcs (i.e. Ai⊆S×S) for each i∈N .…”

Section: Methodsmentioning

confidence: 99%

“…Based on these stability analyses, the equilibrium state is determined. After finding the equilibrium state(s), sensitivity analysis is carried out (Xu et al , 2018).…”

Section: Methodsmentioning

confidence: 99%

“…The static analysis of the econometric models cannot describe the extremely complex dynamic relationship between the 3E system. In this study, the authors have complemented the analysis with the conflict analysis method using the graph model for conflict resolution (GMCR) approach (Xu et al , 2018). It mainly studies complex socioeconomic systems with the help of DMs involved and their option states.…”

Section: Introductionmentioning

confidence: 99%

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Managing environmental quality in Pakistan through sustainable development of energy–economy–environment (3E): insights from graph model of conflict resolution (GMCR)

Yasmeen

Tan

Ali³

et al. 2021

MEQ

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PurposeThe sustainable development of the energy–economy–environment (3E) needs to ensure the balanced interplay between the energy–economy and the environment. Likewise, creating such balance has become a critical policy issue among countries worldwide. However, in the past, studies have ignored to create a balanced interplay of the energy–economy and environment. Therefore, to address said research gap, this paper aims to develop a graph model for conflict resolution (GMCR)-based strategy for the sustainable development of the 3E to ensure better environmental quality.Design/methodology/approachTo develop a strategic framework for the balanced interplay between the energy–economy and the environment, the study used the GMCR approach and designed a mechanism for the sustainable development of the 3E to ensure better environmental quality in the context of Pakistan.FindingsThe results from the GMCR indicate that sustainable development of the 3E to ensure better environmental quality is possible when government focuses on the sustainable growth of the economy through environmental policies and the use of renewable energy.Practical implicationsBy solving the 3E conflict, this study provides policy insights for the government of Pakistan for the sustainable development of the energy economy and the environment to ensure better environmental quality in the country.Originality/valueFor the first time, this paper tried to put forward a way through which conflicting objectives can be achieved together for the sustainable development of the 3E to ensure better environmental quality.

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Section: Methodsmentioning

confidence: 99%

“…Based on these stability analyses, the equilibrium state is determined. After finding the equilibrium state(s), sensitivity analysis is carried out (Xu et al , 2018).…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Managing environmental quality in Pakistan through sustainable development of energy–economy–environment (3E): insights from graph model of conflict resolution (GMCR)

Yasmeen

Tan

Ali³

et al. 2021

MEQ

View full text Add to dashboard Cite

show abstract

“…For portraying strategic moves and countermoves among DMs in a conflict, four classical stabilities or solution concepts are formally defined within the GMCR paradigm, namely, Nash, GMR, SMR, and SEQ [9,10,11]. Let the set of DMs and states in a conflict be N and S , respectively.…”

Section: Application Of Gmcr For Conflict Resolution Through a Casmentioning

confidence: 99%

“…GMCR is a highly powerful and flexible decision-making methodology for investigating challenging conflicts arising from social, economic, environmental, or other areas [9,10,11]. In classical game theory, cardinal preference such as utility values need to be determined [12].…”

Section: Introductionmentioning

confidence: 99%

A Novel Preference Elicitation Technique Based on a Graph Model and Its Application to a Brownfield Redevelopment Conflict in China

Zhao

2019

IJERPH

Self Cite

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Disputes are very common and pervasive in brownfield redevelopment projects, in which multiple stakeholders or decision-makers (DMs) strategically interact with each other with a conflict of interest. The preference information of DMs involved plays a vital role in identifying possible outcomes or resolutions for resolving a tough brownfield conflict. In this research, a novel preference ranking technique is purposefully proposed within the graph model for conflict resolution (GMCR) paradigm to effectively and accurately garner DMs’ actual preferences, in which states are ranked according to their similarities and closeness to the most and least preferred states instead of subjective option statements or weights in traditional preference ranking methods. Finally, a real-world brownfield conflict which occurred in China is utilized to show how the proposed preference ranking method can be applied for conveniently obtaining the true preference information of DMs and strategically determining the equilibria of a given dispute. The case study indicates that the novel preference elicitation approach is more objective and reasonable than the traditional option prioritization method. Moreover, there exists an equilibrium which can provide strategic advice and meaningful insights for addressing the brownfield conflict.

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The evolution of research and development cooperation in dynamically interorganizational project networks: Effects of reference‐point‐based expectations

Wang,

Guo,

Guo

2023

Manage Decis Econ

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Considering the coevolution of interorganizational project and social networks, this study examines the evolution of research and development (R&D) cooperation by simulating the play of an appropriate game model. We assume that decision‐makers are aggressive or prudent in terms of expectations. The results show that the effects of expectation type and heterogeneity on cooperation evolution depend on the project scale. Aggressive decision‐makers are more sensitive to free‐riding behaviors than prudent decision‐makers. The effect of supervision on cooperation is contingent on decision‐makers' expectations. Finally, the study develops suggestions for the governance of interorganizational R&D cooperation.

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Conflict Resolution in Practice

Cited by 5 publications

References 61 publications

Managing environmental quality in Pakistan through sustainable development of energy–economy–environment (3E): insights from graph model of conflict resolution (GMCR)

Managing environmental quality in Pakistan through sustainable development of energy–economy–environment (3E): insights from graph model of conflict resolution (GMCR)

A Novel Preference Elicitation Technique Based on a Graph Model and Its Application to a Brownfield Redevelopment Conflict in China

The evolution of research and development cooperation in dynamically interorganizational project networks: Effects of reference‐point‐based expectations

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