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The aim of this paper is to respond to a gap in the literature around resilience in later life for older people from minority groups of identity or experience. Specifically, it argues that we need to pay greater attention to how access to different types of social capital may leave some older people more or less able to cope with adverse events and how experiences of social exclusion can limit access to important networks of support during times of crisis.

This paper draws on research conducted to inform the resilience strategy of Greater Manchester in 2019, and specifically looked at how this strategy could better address the needs of the regions’ diverse ageing population. It used a qualitative design including focus groups with older women of Punjabi heritage living in Greater Manchester, interviews with staff from a community and voluntary organisation working with these women, and interviews with staff at an organisation supporting refugees and asylum seekers in Greater Manchester who specifically worked with older adults.

The research found that belonging to a minority group and experiences of social exclusion gave participants in this study both resources and vulnerabilities when it came to dealing with external shocks in later life. Whilst participants in this study had access to strong networks of bonding capital based on shared identity and experience, social exclusion often meant they faced barriers to accessing network of support outside of these communities.

Findings from this study have implications for both future research and policy. In the case of the latter there are implications for those working in resilience planning in terms of how to address the needs of diverse older populations. For researchers, this paper has implications for how we understand the impacts on inequality in later life particularly in the context of the COVID-19 pandemic.

The originality of this paper lies in its consideration of the impact of inequalities and social exclusion on the resilience of older people in times of crisis. It included older people from minority groups of identity and experience addressing an important gap in the literature.

Groups of students were enrolled in a course that sought to produce a three-phase theoretical model over three semesters.

A design project to comprehensively address school violence was launched at a university in eastern Pennsylvania.

This article updates the recent and most critical finding of the project by illuminating specific implications of the importance of teacher training and the development toward competence in recognition of children who are emotionally and psychologically injured through proactive measures such as screening for emotional and psychological well-being.

Although the model has not been tested, screening to identify those in need of emotional support and training to support teachers is clear. Screening and training offer important opportunities to help learners build skills toward resilience to soften the effects of trauma.

A view of the “whole child” with regard to academic success could further foster social and emotional development.

Early intervention can prevent the onset of symptoms associated with posttraumatic stress and related disorders. This effort alone may significantly reduce the uncomfortable incidences and perhaps ultimate prevention of the violence that is perpetuated among children.

Preliminary research supports a continued conversation regarding effective tools to find children emotionally and psychologically at-risk, which allows teachers an opportunity for timely emotional and psychological interventions.

Innovation during project delivery is contested space. The aim in this research is to empirically explore the theory of this contested space and how project implementation can be optimized by the contractor to deliver better outcomes. It is hypothesized that project innovation has a proportional and measurable relationship to contractor success.

Based on a novel conceptual framework, this research applies a case study methodology to analyse 31 construction projects undertaken by a single Australian middle-tier contractor. Benefits from innovation are not often equitably shared. There are risks and rewards. The project innovation zone is defined as a combination of three key performance indicators – efficacy, efficiency and margin – merged into a single index that most likely shows evidence of “working smarter”.

Client–contractor project innovation (c2pi) is demonstrated to be strongly correlated with head contractor success (HCS), yielding an r² value of 71%. Innovative projects mostly show positive change in efficacy, efficiency and margin when comparing “planned” and “actual” outcomes. Across the cases studied, 35% demonstrated likely evidence of innovative delivery and 52% demonstrated evidence of success from the construction contractor's perspective.

These findings verify that, within the studied sample, the pursuit of innovation leads to projects that are likely to also have greater success for the head contractor, evidenced by the mix of five critical success factors: finishing on schedule, making profit, and having less defects, less accidents and higher quality workmanship. These outcomes arguably also apply to sub-contractors, where the head contractor assumes the role of “client”.

Government communication is an essential part of the democratic process – it interconnects various stakeholder groups with the public, while also enabling the functioning of democratic systems based on values such as human rights, freedom of speech and public participation in governance. Besides promoting government successes or measures, government communication should foster mutual two-way communications between government organisations and different stakeholder groups. Specifically, communication about potential risks and hazards can suddenly appear and are subject to a different communication modus operandi. The accessibility and comprehensiveness of government information play an important role in how citizens make decisions and behave. In critical times, governments are required to meaningful crisis communication strategies to address the needs of different stakeholders. However, the Czech Republic as a post-communist country has not yet fully developed an integrated system of government communication with various stakeholder groups. The ministerial PR departments serve merely as technical support and media relations assistants for the ministers. This chapter presents research results regarding how the Czech Ministry of Education communicated during the pandemic crisis, how its communications were received by key stakeholders, and what pitfalls in communication it faced. The chapter presents empirical evidence of government communication challenges in times of crisis in a post-communist country and thus addresses the gap in government communication knowledge concerning the role of democracy and stakeholder participation in transforming societies. The chapter concludes with practical implications to prevent failures in future crises.

This study aims to improve the reliability of emergency safety barriers by using the subjective safety analysis based on evidential reasoning theory in order to develop on a framework for optimizing the reliability of emergency safety barriers.

The emergency event tree analysis is combined with an interval type-2 fuzzy-set and analytic hierarchy process (AHP) method. In order to the quantitative data is not available, this study based on interval type2 fuzzy set theory, trapezoidal fuzzy numbers describe the expert's imprecise uncertainty about the fuzzy failure probability of emergency safety barriers related to the liquefied petroleum gas storage prevent. Fuzzy fault tree analysis and fuzzy ordered weighted average aggregation are used to address uncertainties in emergency safety barrier reliability assessment. In addition, a critical analysis and some corrective actions are suggested to identify weak points in emergency safety barriers. Therefore, a framework decisions are proposed to optimize and improve safety barrier reliability. Decision-making in this framework uses evidential reasoning theory to identify corrective actions that can optimize reliability based on subjective safety analysis.

A real case study of a liquefied petroleum gas storage in Algeria is presented to demonstrate the effectiveness of the proposed methodology. The results show that the proposed methodology provides the possibility to evaluate the values of the fuzzy failure probability of emergency safety barriers. In addition, the fuzzy failure probabilities using the fuzzy type-2 AHP method are the most reliable and accurate. As a result, the improved fault tree analysis can estimate uncertain expert opinion weights, identify and evaluate failure probability values for critical basic event. Therefore, suggestions for corrective measures to reduce the failure probability of the fire-fighting system are provided. The obtained results show that of the ten proposed corrective actions, the corrective action “use of periodic maintenance tests” prioritizes reliability, optimization and improvement of safety procedures.

This study helps to determine the safest and most reliable corrective measures to improve the reliability of safety barriers. In addition, it also helps to protect people inside and outside the company from all kinds of major industrial accidents. Among the limitations of this study is that the cost of corrective actions is not taken into account.

Our contribution is to propose an integrated approach that uses interval type-2 fuzzy sets and AHP method and emergency event tree analysis to handle uncertainty in the failure probability assessment of emergency safety barriers. In addition, the integration of fault tree analysis and fuzzy ordered averaging aggregation helps to improve the reliability of the fire-fighting system and optimize the corrective actions that can improve the safety practices in liquefied petroleum gas storage tanks.

We examined skill building techniques and changes over the course of a semester with pre and post-test data collection after implementing experiential learning assignments.

The Schutte Self-Report Emotional Intelligence Test (SEEIT) was used to measure emotional intelligence among students who interned for a 16-week period.

We found a significant difference using a paired samples t-test in SSEIT scores between the pre (M = 126.6, SD = 4.3) and the post-internship (M = 133.8, SD = 5.7) scores. t(5) = -5.61, p = 0.002. Students had an overall increase in mean scores over the course of one semester.

This was a pilot study that we completed to determine applicability of internship and increasing emotional intelligence. Overall, we saw an increase in EI in pre and post-test comparisons. This was a pilot study, so more research is needed on this topic.

Students were placed in situations during the internship process to help facilitate real world problems and were required to apply applicable textbook knowledge, develop theory-based activities and report their findings. Students worked with various age groups and learned how to work with a variety of populations including faculty, teachers, children and parents on a regular basis and this process contributed to their experience and potentially increased emotional intelligence over a 16-week period.

This research addresses the importance of emotional intelligence (EI) in career readiness and its role in potentially mitigating burnout in psychological professions.

This is important to those in the field of psychology and child development and family studies because it addresses concerns with the shortage of skilled and prepared workers.

Climate change has been identified as a pressing social, environmental and economical challenge that has been unequivocally linked to human activity through latest Intergovernmental Panel on Climate Change (IPCC) reports. It is here to stay with us for generations to come and is already causing severe tribulations across the world. As nations devise policies to mitigate to climate change to stay within the 1.5 degrees Celsius target and small island developing states (SIDS) like Mauritius and the developing world in general find means to adapt to its consequences, a core shortcoming highlighted is the lack of community engagement and grassroots action so that policies permeate to concrete action. Of prime importance for this to happen is raising awareness on the climate change phenomenon, which has so far been a topic deemed complex for the general public, hence creating systemic barriers for climate action. The use of artificial intelligence (AI) can play a significant role in designing such community outreach programmes based on outcomes reported in literature in the educational sector in support of Sustainable Development Goal (SDG) 4: Quality Education. There is growing interest for a green lifestyle in the world population, and this chapter shows how the home can be used as a basic building block for allowing each household to contribute to climate action, while offering an effective case study to raise awareness on climate change through practical examples and demonstration, in support for SDG 11: Sustainable Cities and Communities. Based on an energy-water-materials nexus, the circular home concept is a clear contribution to SDG 13: Climate Action, with huge potential to use AI techniques and underpinning technologies to implement and optimise the efficacy of the proposed measures.

This paper aims to investigate the impact of situational factors and internal psychological states on employees’ decisions to perform voluntary pro-environmental behavior. This study used a model combining the theory of planned behavior, norm activation model and comprehensive action determination model. This stud also explored the moderating role of habit (HAB) on the relationship between intention and actual voluntary pro-environmental behavior.

Data were collected through three waves of time-lagged survey questionnaires from 519 employees of public organizations in Abu Dhabi, United Arab Emirates.

Employees’ perceptions of corporate social responsibility (CSR) had a significant impact on intention to perform voluntary pro-environmental behavior, as did all other variables except perceived behavioral control. HABs related to pro-environmental behavior enhanced the relationship between intention and actual behavior.

The main factors influencing employees’ voluntary pro-environmental behavioral intentions were perceived CSR, personal moral norms, organizational citizenship behaviors toward the environment and attitude. Public organization planners, managers and practitioners can use these findings to improve their organization’s environmental performance, leveraging nonmandated actions.

Employees can achieve a better work–life balance in organizations with flexible CSR policies and which sponsor social activities to improve public well-being and individuals’ life quality. Positive sense-making of corporate social activity helps employees develop social interactions with stakeholders, increasing their involvement in society and decreasing work stress.

This study sheds light on the factors influencing employees’ voluntary pro-environmental behavior. To the best of the authors’ knowledge, this is the first study of its kind to combine these three models to explain the variables affecting intent to perform voluntary pro-environmental behavior in the workplace.

One of the most hyped concepts in the manufacturing industry is ‘Industry 4.0’. The ‘Industry 4.0’ concept is grabbing the attention of every manufacturing industry across the globe because of its immense applications. This phenomenon is an advanced version of Industry 3.0, combining manufacturing processes and the latest Internet of Things (IoT) technologies. The main advantage of this paradigm shift is efficiency and efficacy in the manufacturing process with the help of advanced automated technologies. The concept of ‘Industry 4.0’ is contemporary, so it falls under exploratory study. Therefore, the research methodology is thematic narration grounded on secondary data (online) analysis. In this light, this chapter aims to explain ‘Industry 4.0’ in terms of concepts, theories and models based on the Web of Science (WoS) database. The data include research manuscripts, book chapters, blogs, white papers, news items and proceedings. The study details the latest technologies behind the ‘Industry 4.0’ phenomenon, different business intelligence technologies and their practical implications in some manufacturing industries. This chapter mainly elaborates on Industry 4.0 frameworks designed by (1) PwC (2) IBM (3) Frost & Sullivan.

Although the emotion work of teaching has been part of the conversation for more than 30 years, it remains a side conversation, as sort of an afterthought to academics and the accepted mainstream point of teaching and learning. In this chapter, we reflect on what has occurred in the field in the decade since our book Emotion in school: Understanding how the hidden curriculum influences relationships, leadership, teaching and learning was published. We approach the topic through a lens of tensions that we perceive occurring in the field. Emotions in schools, for the most part, remain the hidden curriculum in that in many ways emotions are still downplayed in the classroom and have no space in teacher preparation programs. Teachers, students, administrators, and teacher educators alike are left to deal with the tensions that confront them that educational researchers have yet to resolve – tensions related to measurement (what are we measuring and why), related to how we define emotion and tensions related to practice. In this short chapter we do not have the space to address all tensions that might arise; we have chosen a few to provoke conversation and thoughts about where the field may go from here. Suggestions for beginning teachers and research for teacher preparation are offered.