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This study aims to test the effect of a falsely balanced message (i.e. exposure to two opposing arguments) on perceived expert consensus about an interrogation practice.

Participants (N = 254) read a statement about minimization tactics and were assigned randomly to one of four conditions, where true expert consensus about the tactic was either presented as high or low, and a balanced message (i.e. read two opposing arguments about the factual nature of the tactic) was present or absent.

Results showed that exposure to balanced messages led to less perceived expert consensus; especially when true expert consensus about the tactic was high. Exposure to balanced messages also reduced public support for experts testifying about the interrogation tactic.

Such findings suggest that pairing expert knowledge (i.e. empirical evidence) about investigative interviewing issues with denials might be powerful enough to override scientific beliefs about important matters in this field.

Researchers in the field of investigative interviewing have put much effort into developing evidence-based interviewing practices and debunking misconceptions on the field. While knowledge mobilization is particularly important in this consequential, applied domain, there are some individuals who aim to hinder the advancement and reform of investigative interviewing. Falsely balancing scientific findings (e.g. minimization tactics imply leniency) with denials is but one of many practices that can distort the public’s perception of expert consensus on an issue. It is crucial for investigative interviewing researchers to recognize such strategies and develop ways to combat science denialism.

A synthesis of integrated care models classified by their aims and central characteristics does not yet exist. We present a collection of five “archetypes” of integrated care, defined by their aims, to facilitate model comparison and dialogue.

We used a purposive literature search and expert consultation strategy to generate five archetypes. Data were extracted from included articles to describe the characteristics and defining features of integrated care models.

A total of 25 examples of integrated care models (41 papers) were included to generate five archetypes of integrated care. The five archetypes defined include: (1) whole population models, (2) life stage models, (3) disease-focused models, (4) identity group-based models and (5) equity-focused models.

The five presented archetypes offer a conceptual framework for academics, health system decision makers and patients, families, and communities seeking to develop, adapt, investigate or evaluate models of integrated care.

Two cross-cutting themes were identified, including (1) minimal reporting of patient, caregiver and community engagement efforts in integrated care development, implementation and evaluation, and (2) the nuanced emphasis and implementation of electronic data sharing methods across archetypes, and the need for further definition of the role of these data sharing methods.

The research paper aims to analyse the scholarly literature on advancing HR analytics as an intervention for attrition, a problem that lingers on organisational performance. This study aspires to provide an in-depth literature review and critically assess the knowledge gaps in HR analytics and attritions within organisational performance.

The review analyses the corpus of 196 research articles published in ostensible journals between 2011 and 2023. To identify research gaps and provide valuable insights, this study synthesises relevant studies using School of thought (S), Context (C), Methodology (M), Triggers (T), Barriers (B), Facilitators (F) and Outcomes (O) (SCM-TBFO framework). This study employs the R programming language to conduct a systematic literature review in accordance with the “preferred reporting items for systematic reviews and meta-analysis” (PRISMA) guidelines.

The emerging discipline of HR analytics encompasses the potential to manage attrition and drive organisational performance enhancements effectively. The study of SCM-TBFO encompasses a multidimensional approach, incorporating diverse perspectives and analysing its complex aspects compared to various approaches. The School of thought includes the human capital theory, expectancy theory and resource-based view. The varied research contexts entail the USA, United Kingdom, China, France, Italy and India. Further, the methodologies adopted in the studies are artificial neural networking (ANN), regression, structure equation modelling (SEM) case studies and other theoretical studies. HR analytics and attrition triggers are data mining decision systems, forecasting for firm performance and employee satisfaction. The barriers include leadership styles, cultural adaptability and lack of analytic skills, data security and organisational orientation. The facilitators were categorised into data and technology-related facilitators, human resource policies and organisational growth and performance-related facilitators. The study's primary outcomes are technology adoption, effective HR policies, HR strategies, employee satisfaction, career and organisational expansion and growth.

The primary goal of the literature review is to provide a comprehensive overview of the current state of HR analytics and its impact on organisational performance, particularly in relation to attrition. Further, the study suggests that attrition, a critical organisational concern, can be effectively managed by strategically utilising HR analytics and empowering data-driven interventions that optimise performance and enhance overall organisational outcomes.

Research highlights that residential care experienced children and young people in Scotland have poorer educational outcomes than their peers within the wider population. Despite this, poor educational attainment is not inevitable, and further research is needed to increase the understanding of long-term trajectories. This paper aims to address a gap in contemporary literature that is of benefit to practitioners, academics and policymakers. Despite experiencing adversity, attachment, separation and loss, school attainment data on leaving care only reflects part of the educational journey.

Using a mixed methodology and social constructionist theoretical framework, a practitioner-led PhD study gathered data from questionnaires and qualitative information from 13 semi-structured interviews with young people who had experienced residential care in Scotland. Recruitment was through a gatekeeper within a national third-sector organisation. The educational trajectories for young people with experience of residential care in Scotland are complex. A lived experience perspective from a PhD study illustrates that statistical data only captures part of the journey and the author needs to reconsider how success is measured.

Of the 13 participants in the study, 12 achieved success educationally, although for the majority of those interviewed, attainment continued after leaving compulsory education. Barriers to greater success included placement uncertainty and movement, stigma, low expectations, pressure to not become a statistic, procedural obstacles and inconsistency or poor relationships.

Supportive relationships and stable placements can create circumstances conducive to effective learning, but evidence reflects that support is necessary throughout the life course if children, young people and adults with care experience are to reach their full academic potential.

Research into the educational outcomes for those with experience of residential care in Scotland is limited. This paper, from a PhD, provides lived experience accounts from a practitioner-led study.

The new teleworking conditions imposed by extreme events such as the COVID-19 pandemic blur the border between home and official working space, amplifying the conflicting demands of family and work life experienced by employees across national cultures. Drawing on conservation of resources (COR) theory, this study explores cross-national variances in the underlying mechanism of how family–work conflict (FWC) affects employees’ operational and marketing productivity in the global epidemic-induced teleworking context.

This study conducts a large-scale and cross-national survey of 710 remote employees who worked from home partially or fully during the COVID-19 outbreak across three countries: the USA, the UK and Vietnam.

The results show that FWC drives affective commitment, leading to greater employees’ operational and marketing productivity when teleworking. We also find distinct moderating effects of organizational factors (i.e. task control) and employees’ psychological factors (i.e. emotional exhaustion) on the FWC–operational productivity link across the three countries. Moreover, centralization positively moderates the effect of operational productivity on marketing productivity in the teleworking context in Vietnam, while it is not the case in the USA and the UK.

This study fills a gap in the literature by revealing cross-national differences in the underlying mechanism of the FWC effects on employees’ operational and marketing productivity in the pandemic-induced teleworking conditions. It extends extant studies in the work–family literature by introducing affective commitment as an important mediator in translating the negative consequences of FWC to operational and marketing productivity gain in crisis-driven teleworking across national cultures. We also provide insights into the distinct moderating roles of task control and emotional exhaustion in determining the FWC effect on operational productivity as well as that of centralization in driving marketing productivity. The findings have substantive implications for teleworking design and management to improve employee productivity across different national settings.

This study aims to investigate the relationship between emergency response times and crash severity in New York City, focusing on spatial disparities and their implications. It examines how these disparities impact disadvantaged neighborhoods, particularly regarding traffic safety and emergency service accessibility.

The research uses comprehensive spatial analysis techniques, including hotspot mapping, network analysis for travel time modeling, local bivariate correlation analysis and service area calculations. It maps crash data alongside emergency facility locations, considering peak-hour traffic. The Area Deprivation Index (ADI) is integrated to evaluate socioeconomic factors influencing accessibility. This approach provides a nuanced understanding of how emergency response times correlate with crash severity at the census block level, accounting for socioeconomic disparities.

This study reveals significant disparities in emergency response times across New York City. In high-poverty, predominantly minority areas, response times are 2–3 min longer than average, correlating with a 15% increase in severe injury rates. Over 20% of neighborhoods show correlations between response times and crash severity, with positive linear (5.51%), negative linear (10.72%), concave (2.44%) and convex (2.80%) relationships. Blocks with positive linear relationships have a mean ADI rank of 3.918. During peak hours, 69.7% of Manhattan blocks show negative relationships, the highest among boroughs.

This research highlights spatial justice issues in urban emergency response systems, emphasizing the need for localized, data-driven planning and infrastructure adjustments. By integrating the ADI, the multifaceted approach reveals the complex dynamics of socioeconomic factors and emergency service accessibility that have not yet been investigated in diverse urban communities.