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This paper aims to address the reasons behind the varying levels of volatile conflict and peace as seen during the Arab Spring of 2011 to 2015. During this time, higher rates of conflict transition occurred than normally observed in previous studies for certain Middle Eastern and North African countries.

Previous prediction models decrease in accuracy during times of volatile conflict transition. Also, proper strategies for handling the Arab Spring have been highly debated. This paper identifies which countries were affected by the Arab Spring and then applies data analysis techniques to predict a country’s tendency to suffer from high-intensity, violent conflict. A large number of open-source variables are incorporated by implementing an imputation methodology useful to conflict prediction studies in the future. The imputed variables are implemented in four model building techniques: purposeful selection of covariates, logical selection of covariates, principal component regression and representative principal component regression resulting in modeling accuracies exceeding 90 per cent.

Analysis of the models produced by the four techniques supports hypotheses which propose political opportunity and quality of life factors as causations for increased instability following the Arab Spring.

Of particular note is that the paper addresses the reasons behind the varying levels of volatile conflict and peace as seen during the Arab Spring of 2011 to 2015 through data analytics. This paper considers various open-source, readily available data for inclusion in multiple models of identified Arab Spring nations in addition to implementing a novel imputation methodology useful to conflict prediction studies in the future.

This paper aims to examine whether changing the clustering of countries within a United States Combatant Command (COCOM) area of responsibility promotes improved forecasting of conflict.

In this paper statistical learning methods are used to create new country clusters that are then used in a comparative analysis of model-based conflict prediction.

In this study a reorganization of the countries assigned to specific areas of responsibility are shown to provide improvements in the ability of models to predict conflict.

The study is based on actual historical data and is purely data driven.

The study demonstrates the utility of the analytical methodology but carries not implementation recommendations.

This is the first study to use the statistical methods employed to not only investigate the re-clustering of countries but more importantly the impact of that change on analytical predictions.

A flexible decision technology called the Graph Model for Conflict Resolution (GMCR) is applied to a generic aquaculture conflict to illustrate how GMCR can be used to systematically investigate a wide range of conflicts arising in aquaculture in order to obtain meaningful strategic insights and thereby assist in making informed decisions in aquaculture development. To emphasize the importance of being able to resolve aquaculture controversies, a review of the global economic impacts of the aquaculture industry is provided and the key stakeholders who may be involved in aquaculture disputes along with their legitimate interests are identified. The paper aims to discuss these issues.

The GMCR methodology comprises two main stages: modeling and analysis. During the modeling stage, key decision makers (DMs), the options under each DM’s control and each DM’s relative preferences over feasible states are identified based on a thorough background investigation to a given dispute. Within the analysis stage, solution concepts that describe key characteristics of human behavior under conflict are utilized to determine resolutions that could occur when DMs interact under pure competition and cooperatively. Interpretation of the equilibrium results provides meaningful strategic insights for better understanding which strategies a given DM could select as the conflict evolves over time.

The results demonstrate how difficult it can be to balance the interests of different key stakeholders in aquaculture development. In all possible resolutions identified in the generic aquaculture conflict, at least two DMs among First Nations, environmental group and residents (Res) would object to the expansion of aquaculture activities due to the assumption that the government would choose to appease one stakeholder at a time. They also reflect the need for a useful tool box of decision technologies for addressing the vast range of challenges that could arise in the important area of marine economics and management.

The GMCR methodology possesses several unique and key original capabilities in comparison to other conflict analysis models. First, it only requires limited information to calibrate a conflict model. Second, it contains a number of solution concepts that describe how a DM could think and behave under conflict. Third, it furnishes a range of informative output, follow-up analyses and advice for use in real-life decision support. Finally, all of the foregoing advantages of GMCR can be contained within decision support systems that permit practitioners and researchers to readily apply the GMCR methodology to real-life conflicts.

This study aims to deepen the understanding of the challenges and implications entailed by deploying mobile clinics in conflict zones to reach populations affected by violence and cut off from health-care services.

This research combines an integrated literature review and an instrumental case study. The literature review comprises two targeted reviews to provide insights: one on conflict zones and one on mobile clinics. The case study describes the process and challenges faced throughout a mobile clinic deployment during and after the Iraq War. The data was gathered using mixed methods over a two-year period (2017–2018).

Armed conflicts directly impact the populations’ health and access to health care. Mobile clinic deployments are often used and recommended to provide health-care access to vulnerable populations cut off from health-care services. However, there is a dearth of peer-reviewed literature documenting decision support tools for mobile clinic deployments.

This study highlights the gaps in the literature and provides direction for future research to support the development of valuable insights and decision support tools for practitioners.

Although the importance of teamwork competencies and effective conflict management in entrepreneurship education is recognised, we have limited knowledge of how these factors interact to influence performance in entrepreneurial teams. This research explores teamwork competencies as a predictor of entrepreneurial team performance and the moderating effect of emerging cognitive and interpersonal team conflict as levers in entrepreneurship learning.

A time-lagged survey method was used to collect data from 49 teams (156 individuals) of undergraduate students in an experiential new venture creation course. A predictive model of entrepreneurial team performance through hierarchical regression analyses and moderated-moderation analyses was tested.

Results reveal that teamwork competencies have a significant and direct influence on entrepreneurial team performance and that intragroup conflict strengthens that relationship when high levels of cognitive conflict and low levels of interpersonal conflict emerge.

The findings have implications for the design of entrepreneurial training programs, which will benefit from interventions aimed at teamwork competency development that incorporate strategies promoting constructive cognitive conflict while preventing the emergence of interpersonal conflict.

This study is a step forward in entrepreneurship education research from the perspective of social and interpersonal processes by identifying the patterns of intra-team conflict that lead to more effective entrepreneurial teams and more productive use of teamwork competencies in a learning-by-doing entrepreneurial context.

The purpose of this paper is to critically analyse the role of housing reconstruction projects in post conflict and post tsunami Sri Lanka, and to discuss their implications on conflict prevention.

Using four housing reconstruction projects in Batticaloa, Kilinochchi and Jaffna Districts, Sri Lanka, as case studies, and a novel methodological framework, the study explores the causal relations among the independent variables associated with housing reconstruction and dependent variables related to conflict prevention. The data, gathered from interviews and project reports, were analysed using propositions from a literature review, adopting a thematic analytical approach.

This study finds that reconstruction has created new forms of conflicts and tensions for the people who came to live in the newly constructed houses. The hostile relations that existed among different ethnic groups during the conflict were continued, and to some extent, exacerbated by the reconstruction undertaken after the war.

The study identifies causal relations among the independent variables associated with housing reconstruction and dependent variables related to conflict prevention, which can be used to inform physical reconstruction programmes after conflict.

The research presents a novel methodological framework. The results reveal concerns in housing and infrastructure development that have implications for future research and practice in post conflict environments.

The study focuses on academic stress among the students due to insufficient efforts and intrapersonal conflicts amid the COVID-19 situation. The purpose of this study is to measure the mediating role of academic stress between life dissatisfaction and adequate steps and intrapersonal conflicts.

The researcher had surveyed 729 students from the two states, including Haryana and Punjab and 716 responses were used for analysis. These respondents were approached in April–May 2020 to explore the impact of COVID-19. The questionnaire was prepared with the help of Google form, including 29 questions. Confirmatory factor analysis and structural equation modeling (SEM) were used to validate the research model and for testing the hypothesis.

The findings indicate that intra-personal conflict and insufficient efforts have a significant positive relation with academic stress. Also, intrapersonal conflict and insufficient efforts have a significant positive relation with life dissatisfaction. It has been reported that academic stress mediates the relationship between life dissatisfaction and intra-personal conflict. The results also reveal that academic stress is positively and significantly associated with life dissatisfaction.

This is one of the few studies that explored the mediating role of academic stress between life dissatisfaction and insufficient efforts and intrapersonal conflicts.

This study aims to investigate the role of relational asymmetries in influencing the coping strategies adopted by frontline workers to deal with the policy–client role conflict.

A comparative analysis of three different services highlights the role of the service relationships characteristics in explaining similarities and differences in the strategies adopted by street-level bureaucrats (SLBs). The research is based on the secondary analysis of three case studies conducted in Italy: the reception system for homeless people, the job brokerage service in the public employment service and the dispute settlement procedure in the labour inspectorate.

The results underline the interaction between the characteristics of the service relationship and the different coping strategies adopted to deal with the policy–client conflict.

The contribution of this study is threefold. Firstly, the authors focus on the influence of the characteristics of the service relationship in terms of agency resources over SLBs’ strategies to face with users’ expectations. Secondly, the authors intend to discuss these issues analysing SLBs not only as agents with individual preferences. Thirdly, the research design allows the authors to return to the street-level bureaucracy theory its comparative essence, proposing a comparative strategy with an explorative intent.

As after-hours technology-mediated work (ATW) becomes common in organizations, the increased workload and interference to life caused by ATW has induced employee turnover. This research develops a mediated moderation model to explain how employees' intrinsic and extrinsic motivations for ATW affect their turnover intention through work–life conflict.

A survey was conducted to collect data of 484 employees from Chinese companies. Partial Least Square was used to perform data analysis.

The results show that intrinsic motivation for ATW has an indirect negative impact on turnover intention via work–life conflict, whereas extrinsic motivation for ATW has both a positive direct impact and a positive indirect impact (via work–life conflict) on turnover intention. This study also helps find that time spent on ATW can strengthen the positive impact of extrinsic motivation for ATW on turnover intention but has no moderation effect on the impact of intrinsic motivation for ATW. Furthermore, this study reveals that the interaction effect of time spent on ATW and extrinsic motivation on turnover intention is mediated by employees' perceived work–life conflict.

By discovering the distinct impact of employees' intrinsic and extrinsic motivations for ATW on turnover intention, this research provides a contingent view regarding the impact of ATW and offers guidance to managers regarding how to mitigate ATW-induced turnover intention through fostering different motivations.

This comparative case study looks towards the diverse approaches of higher education to support peacebuilding, from policy and philosophy to pedagogical practices, in conflict-affected and post-conflict settings. The achievement of global development goals is dependent on addressing access to quality education in conflict-affected contexts, including higher education. However, in settings affected by conflict, higher education is often perceived to be a luxury, not a necessity. This study, then, explores whether and how higher education might support peace and development through the unique perspective of the “three faces” of higher education in conflict contexts.

The paper is designed as a qualitative comparative case study. The research examines the work of university educators in two institutions in Afghanistan and Somaliland, highlighting the challenges and opportunities they face working in conflict-affected societies and their pedagogical responses to conflict. Data for the research were collected through in-depth interviews, documents, and digital artifacts with 12 university educators across the two institutions. The faculty teach a wide variety of subjects in the social sciences and humanities, subjects including and in addition to those specific to peace and development studies. To strengthen the interpretation of data, multiple coders were involved and intercoder reliability was conducted.

Findings indicate a number of challenges and opportunities that university lecturers and their institutions face in teaching for peace in conflict-affected contexts, particularly as it relates to the “three faces” of higher education to support, impede, or reveal the complicated nuances of peacebuilding in conflict settings. Member-checking was employed with participants to enhance the reliability of the analysis.

In the end, the paper contributes new empirical insights into higher education in conflict-affected contexts, particularly from the standpoint of faculty. Critical perspectives and implications for curriculum, pedagogy and research are offered.