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This study aims to explore the consequences of inconsistent diversity-related signals for job seekers. Information sources include strategically crafted corporate signals and independent sources. The authors seek to understand the effect of inconsistent diversity signals on job seekers attitudes and behavior during recruitment.

An experiment was conducted wherein two samples from job-seeking populations were first exposed to a fictitious corporate website and then to LinkedIn profiles of that organization’s employees, with systematically varied diversity signals.

Results demonstrated that conflicting diversity signals had negative effects on perceived organizational attractiveness in the student sample (N = 427) and on organizational agreeableness in the working sample (N = 243). Negative organizational attraction was related to a lower likelihood of participants applying.

This work provides a stark but an important message to practitioners: signaling diversity-related values on corporate websites may backfire for organizations that actually lack diversity.

Few studies have combined communication theories with recruitment to examine the link between diversity signals and inconsistent information gathered via social media.

This paper aims to explore how environmental employment can promote desistance among criminalised children. Research demonstrates that being immersed in and interacting with the natural environment has a positive impact upon well-being and behaviour, including reduced aggressive and violent behaviours. However, how exposure to the natural environment might promote desistance amongst children with persistent criminal involvement is unclear.

This paper examines, through semi-structured interviews and participant observations, the experiences of n = 23 criminalised children aged 16–18 employed in outdoor work at a UK social enterprise.

The findings demonstrate how working in the natural environment can provide a safe space for children, where they can build positive relationships, learn valuable skills and reconnect with the world outside of the high-pressure, conflict-driven spaces in which they typically occupy.

This research highlights the relevance of the setting in which child rehabilitation takes place and the potential role of natural environments in providing places and opportunities which support pro-social identity development and desistance for children.

This article informs school leaders and staffs about existing research findings on the use of data-driven decision-making in creating class rosters. Given that teachers are the most important school-based educational resource, decisions regarding the assignment of students to particular classes and teachers are highly impactful for student learning. Classroom compositions of peers can also influence student learning.

A literature review was conducted on the use of data-driven decision-making in the rostering process. The review addressed the merits of using various quantitative metrics in the rostering process.

Findings revealed that, despite often being purposeful about rostering, school leaders and staffs have generally not engaged in data-driven decision-making in creating class rosters. Using data-driven rostering may have benefits, such as limiting the questionable practice of assigning the least effective teachers in the school to the youngest or lowest performing students. School leaders and staffs may also work to minimize negative peer effects due to concentrating low-achieving, low-income, or disruptive students in any one class. Any data-driven system used in rostering, however, would need to be adequately complex to account for multiple influences on student learning. Based on the research reviewed, quantitative data alone may not be sufficient for effective rostering decisions.

Given the rich data available to school leaders and staffs, data-driven decision-making could inform rostering and contribute to more efficacious and equitable classroom assignments.

This article is the first to summarize relevant research across multiple bodies of literature on the opportunities for and challenges of using data-driven decision-making in creating class rosters.

This study aims to utilise Six Sigma in an Irish-based red meat processor to reduce process variability and improve yields.

This is a case study within an Irish meat processor where the structured Define, Measure, Analyse, Improve and Control (DMAIC) methodology was utilised along with statistical analysis to highlight areas of the meat boning process to improve.

The project led to using Six Sigma to identify and measure areas of process variation. This resulted in eliminating over-trimming of meat cuts, improving process capabilities, increasing revenue and reducing meat wastage. In addition, key performance indicators and control charts, meat-cutting templates and smart cutting lasers were implemented.

The study is one of Irish meat processors' first Six Sigma applications. The wider food and meat processing industries can leverage the learnings to understand, measure and minimise variation to enhance revenue.

Organisations can use this study to understand the benefits of adopting Six Sigma, particularly in the food industry and how measuring process variation can affect quality.

This is the first practical case study on Six sigma deployment in an Irish meat processor, and the study can be used to benchmark how Six Sigma tools can aid in understanding variation, thus benefiting key performance metrics.

To comply with the adopted Paris Agreement, global finance flows must be measured against climate scenarios consistent with possible pathways towards limiting global warming to 2°C or less. For this, there must be proven and accepted accounting principles for assessing financial plans of climate relevant actors against climate models. As there are a variety of data sources describing the financial plans of relevant actors, these principles must accommodate a variety of reported information, while still yielding relevant metrics to different stakeholders. The paper aims to discuss these issues.

A set of accounting principles tested by governments, financial supervisory bodies and both institutional investors and mangers, covering global-listed equity and corporate bond investment is described.

The application illustrates that a common set of accounting principles can act across both asset classes and provide relevant metrics to multiple stakeholders.

The principles require data of varying quality and are ultimately unverified. Thus, the definitive quality of the output metrics is uncertain and is yet to be characterized. The principles are yet to be applied to the credit market as the information is seldom publicly available, but it too plays an important role in the required market transition and therefore must be incorporated into these guiding principles of analysis.

The principles allow for standardised assessment of financial flows of equity and corporate debt with global climate scenarios.

It illustrates the acceptance of a common set of accounting principles that is relevant across different actors and asset classes and summarizes the principles underlying the first climate finance scenario analyses.

In South Africa, the majority of the population struggles to access care and support for mental health challenges. Drawing on challenges faced by asylum seekers and refugees in the urban margins of Johannesburg, this paper aims to explore the relationship between migration and mental health through a lens of heightened vulnerability, precarious urban spaces and unmet basic needs.

Remote interviews were conducted with respondents working in the mental health-care sector (public and private) and with migrant communities in Johannesburg. Respondents were identified via purposive sampling and interviews were conducted in English. Key findings were identified using thematic analysis.

Effective responses to asylum seekers and refugees facing mental health challenges are based on an understanding of context, of crisis and of the need to meet basic needs such as paying rent, finding employment and providing for families. These “daily stressors” not only compound “extreme traumatisation” but are a form of trauma in and of itself.

This paper shows how alternative responses determined by an understanding of context, of crisis and of the need to meet basic needs provide critical and potentially far-reaching interventions. Locating trauma in the unmet needs, precarious urban spaces and marginalisation opens up space to further question the ways that migration and mental health shape and reshape one another.

This research paper aims to evaluate the sustainability knowledge and background of students, staff and faculty regarding current university sustainability practices and individual behaviors at Central Michigan University (CMU); to compare sustainability background and knowledge based on academic discipline of enrollment or employment; and to assess sustainability awareness and interest of the campus community to guide future sustainability initiatives and resources at CMU.

An electronic cross-sectional survey was used to collect anonymous responses through Qualtrics, and then results were analyzed through SPSS. Analyses were performed based on the academic structures at CMU.

This research has found that students in STEM fields are more inclined to have pro-sustainability attitudes, knowledge and behaviors, compared to those studying the arts and business. Additionally, results indicate that there is a significant difference in knowledge between the students, and the staff and faculty respondents regarding sustainability knowledge and application, with the staff and faculty consistently demonstrating more pro-sustainability knowledge and behavior.

While research has previously been conducted on sustainability attitudes and behaviors, this research is unique because it ties sustainability knowledge to academic discipline. Additionally, it serves to gauge which sustainability programs and topics members of the campus community are most interested in, and which areas they are most willing to support.

Background: Hyperglycemia in pregnancy (HIP) is a common medical complication during pregnancy and is associated with several short and long-term maternal-fetal consequences. We aimed to determine the prevalence and factors associated with HIP among Ugandan women.

Methods: We consecutively enrolled eligible pregnant women attending antenatal care at Kawempe National Referral Hospital, Kampala, Uganda in September 2020. Mothers known to be living with diabetes mellitus or haemoglobinopathies and those with anemia (hemoglobin <11g/dl) were excluded. Random blood sugar (RBS) and glycated hemoglobin A1c (HbA_1c) were measured on peripheral venous blood samples. HIP was defined as an HbA1c ≥5.7% with its subsets of diabetes in pregnancy (DIP) and prediabetes defined as HbA1c_1c of ≥6.5% and 5.7–6.4% respectively. ROC curve analysis was performed to determine the optimum cutoff of RBS to screen for HIP.

Results: A total of 224 mothers with a mean (±SD) age 26±5 years were enrolled, most of whom were in the 2^nd or 3^rd trimester (94.6%, n=212) with a mean gestation age of 26.6±7.3 weeks. Prevalence of HIP was 11.2% (n=25) (95% CI: 7.7–16.0). Among the mothers with HIP, 2.2% (n=5) had DIP and 8.9% (n=20) prediabetes. Patients with HIP were older (28 years vs. 26 years, p=0.027), had previous tuberculosis (TB) contact (24% vs. 6.5%, p=0.003) and had a bigger hip circumference (107.8 (±10.4) vs. 103.3 (±9.7) cm, p=0.032). However only previous TB contact was predictive of HIP (odds ratio: 4.4, 95% CI: 1.2–14.0; p=0.022). Using HbA_1c as a reference variable, we derived an optimum RBS cutoff of 4.75 mmol/L as predictive of HIP with a sensitivity and specificity of 90.7% and 56.4% (area under the curve=0.75 (95% CI: 0.70–0.80, p<0.001)), respectively.

Conclusions: HIP is common among young Ugandan women, the majority of whom are without identifiable risk factors.

Community-engaged partnerships have the ability to combine expertise and resources to enhance the local STEM learning ecosystem, by engaging the actors in communities that can enhance students' experiences in science, technology, engineering and mathematics (STEM) education. Texas Tech University (TTU) and Lubbock Independent School District (LISD) have partnered to coordinate an annual STEM Challenge to encourage STEM learning and interest among local middle grade students. Each summer, teams of (three to four) students from ten LISD middle schools participate in a week-long engineering design challenge, facilitated by TTU undergraduate mentors and their teachers, structured by the Engineering Design Process (EDP).

Quantitative (survey) and qualitative (open-ended responses) data from two years of student glider and hovercraft projects offer insight into how 66 students developed STEM knowledge and leveraged 21^st-century skills to accomplish a shared aim (design challenge).

Findings suggest growth in students' 21^st-century skills, most among underrepresented (racial, ethnic and gender minority) groups. Data from year one (2018) informed year two (2019) in both programming and the research, including enhanced training for mentors and a deeper exploration of students' experiences during each stage of the EDP during the STEM challenge.

Significant and salient findings are discussed along with recommendations for both programmatic and methodological improvements for year three (2020). This study provides insight into how to structure similar community-engaged partnerships in enhancing the community STEM ecosystem through collaborative STEM experiences for diverse, younger learners.

The purpose of this paper is to examine innovation in the resource-constrained context of India’s healthcare industry. It is argued that the process of innovation in addressing healthcare management challenges in such a context occurs through organisational ambidexterity and that human resource management (HRM) plays an important role.

A qualitative research methodology is applied to explore the role of HR practices in facilitating contextual ambidexterity and subsequent innovations in healthcare in India. The unit of analysis is the “case” of healthcare providers in India and in-depth interview and documentary data in two case sites are analysed to reveal the role of HRM in facilitating contextual ambidexterity and innovation. Data analysis was undertaken first at a within-case and then at a cross-case analysis level using interpretive manual coding based on how the data explained the role of HRM in delivering innovative outcomes and supporting organisational ambidexterity.

The authors found evidence of the use of sets of high-involvement HRM practices for exploration of new ideas and efficiency-driven HRM practices for creating contextual ambidexterity in the case organisations. Further, managerial/leadership style was found to play an important role in creating cultures of trust, openness, risk-taking and employee empowerment, supported by an appropriate mix of intrinsic and extrinsic rewards. Finally, training was also reported as being central to creating an ambidextrous context for delivering on various innovations in these healthcare providers.

This study represents an exploration of innovation in the context of India’s healthcare sector through intersecting literatures of ambidexterity, innovation and HRM practices. In light of the emerging economy research context, an important empirical contribution is palpable. Moreover, through a study design which included collecting data from multiple informants on the role of human resources in facilitating innovative outcomes, the authors reveal the role of HR-related initiatives, beyond formal HR practices in creating contextual ambidexterity. This study also reveals the degree to which contextual idiosyncrasies enhance our understanding of the role of HR in facilitating innovation in emerging economies.