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The purpose of this paper is to present evaluation results. People exiting incarceration who use opioids are at an elevated risk for overdose following release. People living with HIV (PLWH) who use drugs are also at increased overdose risk. Overdose education and naloxone distribution (OEND) is an effective community-based intervention, but few OEND programs have been evaluated in a correctional setting and none have specifically targeted PLWH.

An OEND pilot program was implemented in the Philadelphia jail from December 2017 to June 2019. OEND was provided through an HIV case management program and naloxone given at release. Participants (n = 68) were assessed for changes in overdose knowledge and beliefs in their ability to respond to an overdose from baseline to one month later while still incarcerated. Other demographic variables were assessed via publicly available records and case manager chart abstraction.

A total of 120 incarcerated PLWH were OEND trained; 68 (56.7%) were still incarcerated one month later and received post-tests. The 68-person sample was predominantly male (79.4%) and Black (64.7%). One-fifth reported heroin use, a third reported cocaine use and nearly 2/3 reported use of any illegal drug on date of arrest. Among these 68, overdose knowledge and overdose attitudes improved significantly (p = 0.002 and p < 0.001, respectively).

OEND in correctional settings is feasible and knowledge and overdose attitudes improved significantly from baseline. OEND programs should be implemented within the general population of incarcerated people but, as with PLWH, can be extended to other vulnerable populations within correctional settings, such as persons with mental health conditions and a history of homelessness.

Social exclusion as a result of gender, race, and class inequality is perhaps one of the most pressing challenges associated with the development of a diverse information technology (IT) workforce. Women remain under represented in the IT workforce and college majors that prepare students for IT careers. Research on the under representation of women in IT typically assumes women to be homogeneous in nature, something that blinds the research to variation that exists among women. This paper aims to address these issues.

The paper challenges the assumption of heterogeneity by investigating how the intersection of gender, race, and class identities shape the experiences of Black female IT workers and learners in the USA.

The results of this meta‐analysis offer new ways of theorizing that provide nuanced understanding of social exclusion and varied emancipatory practices in reaction to shared group exposure to oppression.

This study on the under‐representation of women as IT workers and learners in the USA considers race and class as equally important factors for understanding variation among women. In addition, this paper provides rich insights into the experiences of Black women, a group that is largely absent from the research on gender and IT.

The purpose of this paper is to draw on the agent-system model of (in)justice and negative norm of reciprocity of social exchange theory to examine the indirect impact of supervisory interactional injustice (i.e. interpersonal and informational) on employees’ target-specific extra-role work behaviours [counterproductive work behaviour directed at supervisor (CWB-S) and organisational citizenship behaviour directed at supervisor (OCB-S)] via distrust in supervisor.

The authors conducted a two-wave study, and participants (n = 401) were recruited via Amazon Mechanical Turk using a survey methodology. Bias-corrected confidence intervals (CIs) constructed in 20,000 bootstrap samples were used to test the mediation effects.

The findings indicated that interpersonal and informational injustice are positively related to employees’ distrust in supervisor. Furthermore, interpersonal and informational injustice indirectly affected CWB-S and OCB-S via distrust in supervisor.

Several limitations and future research should be discussed. First, the cross-sectional nature of this study prevented us from establishing the causal direction implied by the mediation models in this research. Second, the authors cannot rule out the potential for common method variance. These limitations can be addressed by collecting data from multiple sources (e.g. supervisor and coworkers) at different points in time or by experimental study design. Lastly, the authors did not consider contextual variables (e.g. formal policies, practices, ethical rules and cultural climate) that may influence the proposed relationships’ strengths and directions.

Even though perceptions of distributive and procedural injustice can affect employee deviant behaviours targeted at the organisation and organisational members, the present findings suggest that practitioners should be aware that perceptions of supervisory interactional injustice (i.e. interpersonal and informational) are likely be requited with employees’ extra-role work behaviours targeted at the supervisor. The present findings suggest that, via distrust in supervisor, employees are likely to engage in more CWB-S and fewer OCB-S as a result of supervisory interactional injustice. Considering the costs associated with high CWB-S and low OCB-S, supervisors should be trained in adhering to interactional justice rules. Additionally, supervisors should be mindful and practice caution when interacting with subordinates, to ensure that interactional justice norms are not violated. Lastly, supervisors can seek feedback from subordinates regarding their perceptions of supervisory interactional injustice, as these assessments will allow the supervisors to adapt their behaviours to impede subordinates’ deviant behaviours aimed towards them.

This study contributes to the literature on organisational injustice and workplace behaviour. First, most injustice research assumes that injustice is the opposite of justice; this study examines the effect of interactional injustice. Second, the authors develop a target-specific model focusing on the interactions between two key organisational stakeholders (i.e. supervisors and employees). The authors suggest that supervisor’s disrespect and untruthfulness towards the employee will eventually result in employee revenge (i.e. CWB-S) and lack of cooperation (i.e. OCB-S) towards supervisor. Finally, the authors examine the mechanism (i.e. distrust in supervisor) through which supervisory interactional injustice may ensue in employee extra-role behaviours directed at the supervisor.

Improvement of reverse supply chains requires accurate and timely information about the patterns of consumption. In the consumer context, the ways to generate and access such use-visibility data are in their infancy. The purpose of this study is to demonstrate how the Internet of Things (IoT) may be operationalised in the domestic setting to capture data on a consumer’s use of products and the implications for reverse supply chains.

This study uses an explorative case approach drawing on data from studies of six UK households. “Horizontal” data, which reveals patterns in consumers’ use processes, is generated by combining “vertical” data from multiple sources. Use processes in the homes are mapped using IDEF0 and illustrated with the data. The quantitative data are generated using wireless sensors in the home, and qualitative data are drawn from online calendars, social media, interviews and ethnography.

The study proposes four generic measurement categories for operationalising the concept of use-visibility: experience, consumption, interaction and depletion, which together address the use of different household resources. The explorative case demonstrates how these measures can be operationalised to achieve visibility of the context of use in the home. The potential of such use-visibility for reverse supply chains is discussed.

This explorative case study is based on an in-depth study of the bathroom which illustrates the application of use-visibility measures (UVMs) but provides a limited use context. Further research is needed from a wider set of homes and a wider set of use processes and contexts.

The case demonstrates the operationalisation of the combination of data from different sources and helps answer questions of “why?”, “how?”, “when?” and “how much?”, which can inform reverse supply chains. The four UVMs can be operationalised in a way that can contribute to supply chain visibility, providing accurate and timely information of consumption, optimising resource use and eliminating waste.

IDEF0 framework and case analysis is used to identify and validate four UVMs available through IoT data – that of experience, consumption, interaction and depletion. The UVMs characterise IoT data generated from a given process and inform the primary reverse flow in the future supply chain. They provide the basis for future data collection and development of theory around their effect on reverse supply chain efficiency.

In a qualitative study assessing students’ perceptions of faculty-student interaction in the online learning environment, findings demonstrated that students make meaning of faculty- student interaction in ways that align with authentic leadership behaviors. Faculty interaction, or lack thereof, shaped students’ perceptions of faculty authenticity and commitment to students’ learning outcomes. Students indicated satisfaction in their leadership learning experience when instructors were perceived as authentic in their actions.

The “Germanwings” air crash in 2015 in which 150 people were killed highlighted the challenges pilots working in the aviation industry face. Pilots regularly work for extensive periods in inhospitable and high-pressure operational conditions, exposing them to considerable work-related stress. This has raised calls for a more systemic cultural change across the aviation industry, championing a more holistic perspective of pilot health and well-being. The study aims to explore how peer coaching (PC) can promote an inclusive psychosocial safety climate enhancing pilot well-being and can mitigate hazardous attitudes and dysfunctional behaviours.

Adopting an interpretative phenomenological analysis (IPA), semi-structured interviews and questionnaires were conducted with military and civilian peer coach/coachee pilots and key industry stakeholders, totalling 39 participants. The research provided significant insights into the perceived value of PC in promoting both pilot health and mental well-being (MW) and flight safety across the aviation industry.

The study highlights four key PC superordinate themes, namely, coaching skills, significance of well-being, building of peer relationships and importance of confidentiality and autonomy. Such combined themes build reciprocal trust within peer conversations that can inspire engagement and effectively promote personal well-being. The contagious effect of such local interventions can help stimulate systemic cultural change and promote a positive psychosocial safety climate throughout an organisation and, in this case, across the aviation industry. This study provides a PC conceptual framework “Mutuality Equality Goals Autonomy Non-evaluative feedback, Skill Confidentiality Voluntary Supervisory (MEGANS CVS),” highlighting the salient features of PC in promoting MW.

The study highlights the salient features of PC and its role in promoting peer conversations that enable personal transition, openness and acceptance. This study also highlights how PC and well-being can be used to encourage inclusivity and engagement, thereby strengthening institutional resilience.

This study highlights how PC that can assist HRM/HRD professionals to embed a more inclusive and salutogenic approach to MW that can reshape organisational cultures. This study highlights the significance and link of workplace stress to hazardous attitudes and dysfunctional behaviours. It further notes that whilst the MEGANS CVS peer coaching framework has been applied to pilots, it can also be applied across all sectors and levels.

This study highlights the value of PC as an inexpensive means to engage at the grassroots level, which not only improves personal performance, safety and well-being but by building peer relationships can also act as a catalyst for positive and deep organisational cultural change.

This study offers the MEGANS CVS framework that exposes insights into PC practice that can assist HRM/HRD professionals embed a more inclusive and salutogenic approach to health and well-being that can reshape organisational cultures. This study highlights the significance and link of workplace stress to hazardous attitudes and dysfunctional behaviours, and whilst this framework has been applied to pilots, it can also have relevance across all sectors and levels. This study calls for a “salutogenic turn,” employing MW and PC to transform organisational capabilities to be more forward-thinking and solution-focused, promoting an inclusive “just culture” where leaders positively lead their people.

This study examines chronic illness, disability and social inequality within an exposure-vulnerabilities theoretical framework.

Using the National Survey of Drug Use and Health (NSDUH), a preeminent source of national behavioral health estimates of chronic medical illness, stress and disability, for selected sample years 2005–2014, we construct and analyze two foundational hypotheses underlying the exposure-vulnerabilities model: (1) greater exposure to stressors (i.e., chronic medical illness) among racial/ethnic minority populations yields higher levels of serious psychological distress, which in turn increases the likelihood of medical disability; (2) greater vulnerability among minority populations to stressors such as chronic medical illness exacerbates the impact of these conditions on mental health as well as the impact of mental health on medical disability.

Results of our analyses provided mixed support for the vulnerability (moderator) hypothesis, but not for the exposure (mediation) hypothesis. In the exposure models, while Blacks were more likely than Whites to have a long-term disability, the pathway to disability through chronic illness and serious psychological distress did not emerge. Rather, Whites were more likely than Blacks and Latinx to have a chronic illness and to have experienced severe psychological distress (both of which themselves were related to disability). In the vulnerability models, both Blacks and Latinx with chronic medical illness were more likely than Whites to experience serious psychological distress, although Whites with serious psychological distress were more likely than these groups to have a long-term disability.

Several possibilities for understanding the failure to uncover an exposure dynamic in the model turn on the potential intersectional effects of age and gender, as well as several other covariates that seem to confound the linkages in the model (e.g., issues of stigma, social support, education).

This study (1) extends the racial/ethnic disparities in exposure-vulnerability framework by including factors measuring chronic medical illness and disability which: (2) explicitly test exposure and vulnerability hypotheses in minority populations; (3) develop and test the causal linkages in the hypothesized processes, based on innovations in general structural equation models, and lastly; (4) use national population estimates of these conditions which are rarely, if ever, investigated in this kind of causal framework.

The global spread of coronavirus brought the economy to a screeching halt as entrepreneurs faced constraints in their ability to transact business. Mandatory shutdowns of businesses, travel restrictions and other measures were taken. This study aimed to explore adaptations of small businesses for surviving in such a turbulent environment.

The authors conducted exploratory research with detailed interviews with 15 small business owners from various industries in rural communities in the Midwestern United States.

The study revealed a variety of strategic responses and highlighted creativity and flexibility in coping with uncertainty. Business owners adapted their strategies regarding processes, products and target customers to remain flexible and reallocate resources to meet ever-changing demands. Some created and strengthened relationships with other business owners, clients, customers and the community. Several showed optimism for the long-term, whereas others viewed survival as contingent on a speedy return to normalcy.

A modest sample of fifteen small business owners were interviewed in similar communities in the Midwest using snowball sampling. With a larger sample size and more variance in age and gender, interview responses may be more diverse and potentially more generalizable. However, the current research may provide some unique insights for younger, up-and-coming entrepreneurs in smaller cities and communities regarding some effective small business and community response to uncertainty and change.

The coronavirus pandemic provided a unique environment to gain insight into entrepreneurial adaptation to unpredictable crisis situations and highlights the importance of assessing and adjusting business strategies to constantly changing demands. The authors also present an emergent theoretical process model of small business adaptive responses to uncertainty that summarizes the major themes derived from the interview responses.

Increases in video game use have led to mental health concerns, citing greater risk for depressive symptoms (DS) and reduced “in-real-life” (IRL) social involvement. However, recent studies have uncovered potential social benefits for online gaming. Many games provide avenues to extend real life relationships and make new online friendships. The purpose of this pilot study is to use social network analysis to determine associations between connections and DS in a gaming community.

As a pilot study, members of an online gaming site were asked to report demographic characteristics, DS, IRL social support, online social support and IRL people and members of the online community with whom they spoke to about important life matters. Multi-level modeling was used to parse variance described by demographic characteristics, IRL measures and online measures. Linear network autocorrelation modeling (LNAM) was used to determine relationships between network connections and DS.

Members (n = 37; µ = 24.76 years old, SD = 6.55; 100% male; 89.2% white) on average felt DS’ “not at all” to “several days” over the past two weeks. Multi-level modeling including online network measures explained 50% of variance (R² = 0.50, F (9,27) = 2.98, p = 0.01); online connections were associated with DS (ß = 0.46). LNAM indicated DS were associated with IRL support (ß = −2.66), IRL connections (ß = 1.81), online support (ß = 2.40) and network effects (ß = 0.06), which indicates that a gamer’s DS were similar to those of their online connections.

Members with more DS may be seeking help via online channels. This may be important for future research to consider alternative forms of help-seeking behavior.