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The authors aim to explore how perspective-taking and attribution of blame lead to side-taking by human resource professionals (HRPs) when making judgements and handling complaints of sexual harassment.

Employing qualitative methodology, the authors used semi-structured in-depth interviews with 35 HRPs from 30 companies in Sri Lanka. Attribution theory and perspective-taking were used as theoretical lenses.

In handling complaints of sexual harassment incidents, HRPs take the perspectives of the alleged perpetrator, complainant, or the company and attribute the blame to the alleged perpetrator or the complainant. Irrespective of the gender of the HRPs and the perspective they take, they would most often blame the female complainants due to sexual harassment myths and misperceptions and traditional sex-role beliefs. Thus, they either take the side of the alleged perpetrator or the company, explicitly/implicitly or intentionally/unintentionally.

The central originality of this research is the finding that HRPs take sides in resolving complaints of sexual harassment and perspective-taking and attribution of blame by HRPs lead to this side-taking in organisational settings.

This chapter provides a descriptive account of a pilot study conducted to inform PhD level research. The study aimed to explore areas of support considered by participants to reduce their risk of perpetration and tested the degree to which the approach can produce useful findings. For the pilot, semi-structured interviews were conducted with two heterosexual men over 55 years of age sentenced for intimate partner violence (IPV)-related offences and supervised by the probation service in the UK. Interview and field note data were analysed thematically. This analysis produced themes relating to age-related risk and protective factors, barriers to help seeking and change over time. Themes indicate that protective factors relating to emotional support within the community, maintenance of social support networks, forms of crisis support and barriers to seeking help may reduce risk within this age group. Across the life course immediate and extended family support and advice and support from peers and colleagues appear of value. Loss of social connection in late life suggests increased risk of perpetration.

The purpose of this paper is to locate, describe and analyze the differences between the way migrants from communal cultures and local communities in Western Europe resolve intra-communal and inter-communal conflicts, and to use the findings to propose a hybrid alternative model that may be able to bridge across identified differences. Such a hybrid model will facilitate enhanced integration and adaptation between host and migrant communities, contributing to improved conflict resolution outcomes.

This paper starts with an exploration, review and analysis of existing relevant literature describing refugee/migrant–host community interactions and their consequences. The second stage includes review and analysis of relevant alternative dispute resolution (ADR) literature. The third stage undertakes an examination and analysis of the practices identified in stage two, and the fourth stage proposes a method that uses potentially “bridging” practices by incorporating useful and relevant elements from host and refugee communities’ ADR mechanisms, in a way that may help resolve inter-communal disputes.

The paper demonstrates significant differences between host and migrant communities’ dispute resolution practices and the integrability of relevant ADR approaches toward creating a usable, hybrid, bridging approach to handle inter-communal conflicts.

The paper proposes a hybrid “bridging” host–refugee inter-communal conflict management model. The proposed model should be tested to prove feasibility and viability.

Should the proposed model prove useful, the practical implications may lead to the construction and use of different (hybrid) conflict management mechanisms in appropriate communities. Such mechanisms may lead to a reduction in the number and severity of inter-communal conflicts.

A reduction in inter-communal conflicts within the framework of a host–migrant interface may have strong positive outcome to inter (and intra) communal relations and may reduce friction, crime, marginalization, hostility and radicalization.

The paper highlights the challenges to both migrant and host communities when it comes to finding a common ground for resolving inter-communal disputes and offers a pragmatic hybrid model to bridge cultural and functional gaps and help promote mutually satisfactory outcomes.

We examine the effect of an offender’s occupational status on criminal sentencing recommendations using a vignette experiment that crosses the offender’s occupational status (white-collar vs blue- or pink-collar) and the crime label, with one label (overcharging) associated with white-collar offenders and the other (robbery) associated with lower-status offenders. We expect negative and potent post-crime impressions of the offender and the crime to increase perceptions of criminality and, in turn, the recommended sentence. We term these negative and potent impressions “criminality scores.” Drawing on affect control theory (ACT) impression formation equations, we generate criminality scores for the offenders and the crimes in each condition and, using those scores as a guide, predict that white-collar offenders and offenders described as “robbing” will receive a higher recommended sentence. We also expect eight perceptual factors central to theories of judicial sentencing mediate these relationships.

We test these hypotheses with a vignette experiment, administered to female university students, that varies a male offender’s occupation and the word used to describe his crime.

Consistent with our ACT-derived predictions, white-collar offenders and offenders described as robbing received a higher recommended sentence. But, contrary to predictions, only one perceptual factor, crime seriousness, mediated these effects, and the mediation was partial.

Our findings suggest the perpetrator’s post-crime appearance of negativity and power offer a valuable supplement to theories of judicial sentencing.

This study is the first to test the hypothesis that sentencing disparities may be due to the way the perpetrators’ sociodemographic attributes shape their post-crime appearance of negativity and power.

Workplace abuse, interpersonal mistreatment that occurs within the victim’s work environment, has attracted considerable attention in recent years. In this chapter, we argue that problems with the conceptualization and measurement of workplace abuse have thwarted scientific progress. We identify two needs that we believe are especially pressing: (a) the need to consider the construct breadth of workplace abuse scales and (b) the need to test whether the measures of various types of workplace abuse effectively capture the unique qualities of the constructs they purport to assess. To guide our discussion of these issues, we conducted a review of the item content of several workplace abuse measures. We offer suggestions for addressing these and other conceptualization and measurement issues, and we discuss the possible implications of these issues on the study of the hypothesized predictors and consequences of workplace abuse.

This study aims to provide a psychometrically sound measure intended to capture perceived/experienced sexism in the workplace, the perceived/experienced sexism scale (PESS). PESS is used to consider the effects of perceived experiences of benevolent and hostile sexism at work, as well their relationships with perceived organizational support and the job attitudes of job satisfaction and turnover intentions.

This study revised the Ambivalent Sexism Inventory (Glick and Fiske, 1996) to create and validate the PESS. Amazon Mechanical Turk was used to collect two samples (220 and 183) of perceptions of female employees.

Results suggest perceived organizational support and trust perceptions mediate the relationships between perceptions of sexism and organizational outcomes of job satisfaction and turnover intentions.

Existing measures of sexism are intended to identify and measure sexism by examining perpetrators’ actions or thoughts. However, researchers must make assumptions as to the effect such sexist acts or behaviors has on the target. Thus, this study provides a measure of sexism from the perspective of the target.

Incivility is widespread in the workplace and has been shown to have significant affective and behavioral consequences. However, the authors still have a limited understanding as to whether, how and when discrete incivility events impact team performance. Adopting a resource depletion perspective and focusing on the cognitive implications of such events, the authors introduce a multi-level model linking the adverse effects of such events on team members’ working memory – the “workbench” of the cognitive system where most planning, analyses, and management of goals occur – to team effectiveness. The model which the authors develop proposes that that uncivil interpersonal behavior in general, and rudeness – a central manifestation of incivility – in particular, may place a significant drain on individuals’ working memory capacity, affecting team effectiveness via its effects on individual performance and coordination-related team emergent states and action-phase processes. In the context of this model, the authors offer an overarching framework for making sense of disparate findings regarding how, why and when incivility affects performance outcomes at multiple levels. More specifically, the authors use this framework to: (a) suggest how individual-level cognitive impairment and weakened coordinative team processes may mediate these incivility-based effects, and (b) explain how event, context, and individual difference factors moderators may attenuate or exacerbate these cognition-mediated effects.

This two‐part research project examines self‐serving attributions by employees in reaction to supervisor's negative interpersonal behaviors in the workplace. The first study (N = 289) examined internal and external attributions in reaction to negative supervisor's behaviors compared to positive behaviors, and the moderating effect of organizational empowerment. The respondents attributed positive behaviors internally and negative behaviors externally. However, empowerment did not affect the attributions. The second study (N = 252,) examined the relationship of attributions of blame to the victim in relation to being the victim of negative behaviors as compared to being the perpetrator. Again, negative supervisor's behaviors were related to attribution of blame to factors external to the victim. However, the employee's own negative behaviors were positively related to attribution of blame to the victim.

This purpose of this viewpoint is to address the intended good and unintended bad impacts of artificial intelligence (AI) applications in financial crime.

The paper relied primarily on secondary data resources, business cases and relevant laws and regulations, and it used a legal-economics perspective.

Current AI systems could function as antidotes or accelerator of financial crime, in particular cybercrime. Research suggests criminal law could be applied via three approaches to curb these cybercrimes. However, others considered this to be an inappropriate mechanism to hold AI agents accountable, as present AI systems were not deemed capable of making ethically informed choices. Instead, administrative sanctions would be considered more appropriate for now. While keeping vigilance against AI malicious acts, regulatory authorities in the USA and the UK have opted largely for the innovation-friendly, market-oriented, permissionless approach over the state-interventionist stance so as to maintain their global competitive edge in this domain.

The paper reinforced the growing arguments that AI applications should be deployed more as panacea for financial crimes rather than being abused as crime accelerators. There equally though is the need for both public and private sectors to be mindful of the unintended negative, harmful consequences to society, especially those connected to cybercrime. This implied the further need to beef up attention and resources to help mitigate these risks.

The anger/sadistic model is one of several typologies proposed for sexual homicide events. This paper aims to empirically test this model by examining sexual homicide cases. Empirically validating these typologies provides greater validity and reliability toward the sexual homicide classification systems that are useful in police investigations.

Secondary data analysis was conducted using police data on 249 solved sexual homicide cases in Canada from 1948 to 2010. Through a robust classifying method, latent class analysis was used to examine variables from the anger/sadistic typology. Additionally, variables from the pre-crime, crime and post-crime phases were examined in relation to the classes’ external validity.

Three classes emerged, namely, expressive, methodical and instrumental. Expressive and methodical were similar to the anger/sadistic model in terms of the presence of premeditation, victim-offender relationship and body disposal location. Instrumental was characterized by the absence of mutilation on the victim’s body, targeted acquaintances and the use of physical restraints. The three-class typology resembled evidence found in a previous systematic review and also reinforced the notion of heterogeneity in sexual homicide offenses.

This is the first study to empirically test the anger/sadistic typology. Such validation is important given that sexual homicide classification systems can aid in police investigations (e.g. narrowing down the list of potential suspects). Replication of studies is needed to lend credibility to research processes, which, in turn, allows practitioners and policymakers to integrate the results into policies effectively.