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This article examines the work-family conflicts faced by women entrepreneurs in South India. The results indicate that female entrepreneurs in India may not be encountering the same levels of work-family conflict as their Western counterparts.

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.

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 how the regional variable in country conflict modeling affects forecast accuracy and identifies a methodology to further improve the predictions.

This paper uses statistical learning methods to both evaluate the quantity of data for clustering countries along with quantifying accuracy according to the number of clusters used.

This study demonstrates that increasing the number of clusters for modeling improves the ability to predict conflict as long as the models are robust.

This study investigates the quantity of clusters used in conflict modeling, while previous research assumes a specific quantity before modeling.

Self-employment is presented as enabling people to better balance their work and family roles but research on its effectiveness is equivocal. We collected survey data from 280 self- and organizationally-employed certified public accountants and conducted a multivariate analysis comparing positive spillover and conflict between the two groups.The self-employed reported less work-to-family conflict with no differences with respect to family-to-work conflict or positive spillovers. However, there were different patterns between male and female subsamples: self-employed males experienced less conflict and more positive spillover than male employees, whereas self-employed females had less of one form of conflict but more of the other.

Collective entrepreneurship is the synergism that emerges from a collective and that propels it beyond the current state by seizing opportunities without regard to resources under its control (Stevenson and Jarrillo 1990). This study provides a conceptual model of collective entrepreneurship and its relationship with leadership and team dynamics in the context of a small family business. It proposes two types of prerequisites for collective entrepreneurship: attitudinal and behavioral. The attitudinal prerequisite is family business members’ commitment to the family business. The behavioral prerequisite includes collaboration and task conflict among family business members. Further, the article argues that leadership behaviors directly affect the attitudinal and behavioral prerequisites, and indirectly affect collective entrepreneurship. Specifically, relations- oriented and participative leadership have positive, indirect effects on collective entrepreneurship. Task-oriented leadership has both positive and negative, indirect effects on collective entrepreneurship. An empirical study of 271 small family businesses in the United States confirmed most of the hypotheses.

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.

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.

The authors investigate the varying impact of three categories of conflicting consumer reviews (i.e. conflicting opinions on attributes of a product item, conflicting ratings of an item and the intensity of conflicting reviews of an item) on the potential customers' perceived informativeness, which is expected to affect the perceived correct purchase.

To test their proposed hypotheses, the authors conducted an experiment using a 2 × 2 × 2 factorial design for each conflict type comprising two levels (low vs high).

The results of this study found that conflicting opinions on product attributes can enhance potential customers' perceptions of informativeness and subsequent correct purchase decisions while conflicting ratings and the intensity of conflicting reviews can diminish potential customers' perceptions of informativeness. In addition, conflicting ratings negatively moderate the effect of conflicting attributes on perceived informativeness such that the positive effect of conflicting attributes on perceived informativeness will be less prominent when conflicting ratings are present (vs absent).

While potential customers are browsing product descriptions, reviews and comments from other purchasers are also playing a role in influencing a potential customer's purchase decision. However, given the different experiences and temperaments of individuals, the subjective remarks and ratings of individuals are sometimes inconsistent or even conflicting, which can lead to confusion among potential customers. The authors categorize the positive or negative effects of the three conflicting reviews based on the two dimensions of ease of capture and product diagnosticity. The findings can help platforms optimize the display of product reviews to help potential customers make more accurate purchase decisions.

Purpose – This study discusses the anatomical changes in the pattern of conflicts after the peace agreement and reviews Aceh’s current political situation, focusing on the terrorism issues and post-conflict local elections, the process and development of the conflict, the compromise, and the forecast for the political and administrative system of local government in Aceh.

Design/Methodology/Approach – The data were obtained by reviewing issues on terrorism and conflicts, analyzing relevant written documents, and interviewing reliable resources.

Findings – Aceh remained stable after the peace agreement between the Government of Indonesia and the Free Aceh Movement (Gerakan Aceh Merdeka or GAM), which was signed in Helsinki on August 15, 2005. However, it does not mean that conflicts never happened. Some conflicts that were potential threats to peace in Aceh occurred many times, ranging from crime problems to social, political, and terrorism issues. Although such conflicts also happened in other places in Indonesia, they were considered very sensitive in Aceh, which always had been associated with peace threat and rebellion issues. Some religion-based terrorism actions disrupted the peace process in Aceh, but it is certain that the terrorist networks had nothing to do with GAM and Acehnese. They only used Aceh as an escape area when they were hunted by security forces in Java.

Implications – The values of Islam in Aceh are not easily penetrated by radicalism offered by the terrorist groups. Peace and stability in Aceh have been maintained up to now. After gaining considerable advantage from power sharing with the Government of Indonesia, GAM has been comfortable with the situation and forgotten the idea of independence. Conflicts and armed violence occur frequently in some places, but they have been transforming from vertical (between the Indonesian military/TNI and GAM) to horizontal lines with various reasons. The most prominent one is the question of access to power, which in turn has an impact on economic access.