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The purpose of this paper is to investigate the impact of extra-legal and legal predictors on dual arrest outcome for men and women arrested for domestic violence.

This study analyzed 4,163 heterosexual domestic violence incidents over a five-year period (2002-2006). Using bivariate analyses and gender-stratified logistic regression this study: identified the variables associated with dual arrest; identified the extra-legal and legal predictors’ of dual arrest; and determined whether there were significant differences between police dispositions of women and men.

Bivariate analyses indicated that women were more likely to be dually arrested than men. For women, logistic regression analyses indicated who contacted the police increased their likelihood of dual arrest. For men, logistic regression analysis indicated being a victim in a prior domestic violence, who used alcohol and/or drugs, who contacted the police, and seriousness of incident impacted their likelihood of being dually arrested.

Results demonstrate that law enforcement officers may not be recognizing male victims of domestic violence as legitimate victims.

This research is situated within the larger body of literature around women and men arrested for domestic violence and contributes to the limited literature regarding the effect of men’s prior domestic violence victimization on dual arrest outcome.

At a time when governmental corruption seems rife and administrations grow ever more secretive, the whistleblower is a crucial resource in journalism’s attempts to make accountable those who wield power. Yet despite legislation that is meant to protect employees and officials who expose wrongdoing, a governmental “war on whistleblowers” has made the hazards faced by many whistleblowers increasingly grim. This chapter explores the role of the journalist/whistleblower collaboration in disclosing important, but sensitive, information involving national security. In discussing case studies of those who have braved the government’s anger, we examine not only the circumstances of these breaches, but also their political and legal repercussions.

By applying a systematic literature review, this paper aims to identify the major healthcare problem domains (i.e. target areas) for lean supply chain management (LSCM) and to provide a list of the most common techniques for implementing LSCM in healthcare. Moreover, this study intends to investigate various contingency factors that may have influenced the selection of LSCM target areas or the application of LSCM techniques by healthcare organizations.

A systematic literature review was carried out following the method presented by Tranfield et al. (2003). Thereby, 280 peer-reviewed journal articles, published between 1995 and 2018, were selected, profiled and reviewed. In total, 75 papers were also selected for a qualitative analysis, known as meta-study, on the basis of high relevancy to the research objectives.

This work extracts, from previous research, a set of target areas for improving supply chain in healthcare by applying lean approaches. The work also unifies the language of lean thinking and supply chain in healthcare by defining metaphors in circumstances under which healthcare organizations pursue similar objectives from their supply chain management and lean programs (Schmitt, 2005). This paper also outlines a list of applications of lean for supply chain improvement in healthcare. Finally, a set of contingency factors in the field of lean supply chain in healthcare is found via the published literature.

This paper provides insights for decision-makers in the healthcare industry regarding the benefits of implementing LSCM, and it identifies contingency factors affecting the implementation of LSCM principles for healthcare. Implementing LSCM can help healthcare organizations improve the following domains: internal interaction between employees, supply chain cost management, medication distribution systems, patient safety and instrument utilization.

The research shows potential synthesis of LSCM with the healthcare industry’s objectives, and, thus, the outcome of this research is likely to have positive influence on the quality and cost of healthcare services. The objectives of the healthcare industry are cost reduction and providing better service quality, and LSCM implementation could be an effective solution to help healthcare to achieve these objectives.

The prime value of this paper lies in conducting a systematic literature review using a meta-study to identify the major factors of implementing LSCM in healthcare. Only a few other studies have been published in the literature about LSCM in healthcare.

In order to shed light on whether and how leaders should help manage group members' emotions related to intragroup conflict, the aim of this paper was to investigate the effects of several outcomes associated with two cognitive emotion regulation strategies, cognitive reappraisal and distraction, in the presence of two distinct types of conflict, relationship or task-oriented.

A 2×3 between subjects' experimental design was employed to investigate the influence of intragroup conflict and emotion regulations strategies on individual-level discrete emotions and group processes and outcomes.

Results suggest that emotion regulation plays an important role in moderating the negative consequences associated with relationships conflict. Specifically, distraction served a critical function to those in the relationship conflict conditions such that both cohesion levels and task performance levels were elevated when group members used distraction as a means of regulating emotions.

This study extends research in the area of emotion regulation into a group context and extends other research that suggests distraction may have potential as a means of regulating emotion. Long-term groups with experience in problem solving may have behaved in different ways than participants in this study.

Emotion regulation strategies have been studied only in an individual context. This study is particularly valuable in understanding how emotion regulation strategies work differentially when applied to multiple individuals in a shared setting. Additionally, it incorporates the use of distraction as a viable regulation strategy.