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This study aims to propose a facilitating methodology for the application of Fuzzy FMEA (Failure Mode and Effect Analysis), comparing the traditional approach with fuzzy variations, supported by a case application in the aeronautical sector.

Based on experts' opinions in risk analysis within the aeronautical sector, rules governing the relationship between severity, occurrence, detection and risk factor were defined. This served as input for developing a fuzzyfied FMEA tool using the Matlab Fuzzy Logic Toolbox. The tool was applied to the sealing process in a company within the aeronautical sector, using triangular and trapezoidal membership functions, and the results were compared with the traditional FMEA approach.

The results of the comparative application of traditional FMEA and fuzzyfied FMEA using triangular and trapezoidal functions have yielded valuable insights into risk analysis. The findings indicated that fuzzyfied FMEA maintained coherence with the traditional analysis in identifying higher-risk effects, aligning with the prioritization of critical failure modes. Additionally, fuzzyfied FMEA allowed for a more refined prioritization by accounting for variations in each variable through fuzzy rules, thereby improving the accuracy of risk analysis and providing a more realistic representation of potential hazards. The application of the developed fuzzyfied FMEA approach showed promise in enhancing risk assessment in the aeronautical sector by considering uncertainties and offering a more detailed and context-specific analysis compared to conventional FMEA.

This study emphasizes the potential of fuzzyfied FMEA in enhancing risk assessment by accurately identifying critical failure modes and providing a more realistic representation of potential hazards. The application case reveals that the proposed tool can be integrated with expert knowledge to improve decision-making processes and risk mitigation strategies within the aeronautical industry. Due to its straightforward approach, this facilitating methodology could also prove beneficial in other industrial sectors.

This paper presents the development and application of a facilitating methodology for implementing Fuzzy FMEA, comparing it with the traditional approach and incorporating variations using triangular and trapezoidal functions. This proposed methodology uses the Toolbox Fuzzy Logic of Matlab to create a fuzzyfied FMEA tool, enabling a more nuanced and context-specific risk analysis by considering uncertainties.

This paper – the final paper of a series of three – aims to discuss the implications of the findings from a service user needs assessment of people experiencing homelessness in the Northwest of England. It will expand on the previous paper by offering a more detailed analysis and discussion of the identified key themes and issues. The service user needs assessment was completed as part of a review of local service provision in the Northwest of England against the backdrop of the COVID-19 pandemic.

Semi-structured questionnaires were administered and used by health-care professionals to collect data from individuals accessing the Homeless and Vulnerable Adults Service (HVAS) in Bolton. The questionnaires included a section exploring Adverse Childhood Experiences. Data from 100 completed questionnaires were analysed to better understand the needs of those accessing the HVAS.

Multiple deprivations including extensive health and social care needs were identified within the cohort. Meeting these complex needs was challenging for both service users and service providers. This paper will explore key themes identified by the needs assessment and draw upon further comments from those who participated in the data-gathering process. The paper discusses the practicalities of responding to the complex needs of those with lived experience of homelessness. It highlights how a coordinated partnership approach, using an integrated service delivery model can be both cost-effective and responsive to the needs of those often on the margins of our society.

Data collection during the COVID-19 pandemic presented a number of challenges. The collection period had to be extended whilst patient care was prioritised. Quantitative methods were used, however, this limited the opportunity for service user involvement and feedback. Future research could use qualitative methods to address this balance and use a more inclusive approach.

This study illustrates that the needs of the homeless population are broad and varied. Although the population themselves have developed different responses to their situations, their needs can only be fully met by a co-ordinated, multi-agency, partnership response. An integrated service model can help identify, understand, and meet the needs of the whole population and individuals within it to improve healthcare for a vulnerable population.

This study highlighted new and important findings around the resilience of the homeless population and the significance of building protective factors to help combat the multiplicity of social isolation with both physical and mental health problems.

The discussion provides an opportunity to reflect on established views in relation to the nature and scope of homelessness. The paper describes a contemporary approach to tackling current issues faced by those experiencing homelessness in the current context of the COVID-19 pandemic. Recommendations for service improvements will include highlighting established good practices including embedding a more inclusive/participatory approach.

This chapter intends to provoke thought around assumptions about young people providing care, what influences how young carers are perceived and how stigma and judgement associated with caring are discussed. We conclude by emphasising the significance of the role as an educator in creating discussion about the breadth and diversity of care experiences. This role includes both educating young people about young caring and being mindful that your students may currently be or previously been a young carer.

Drug cryptomarkets increase information available to market actors, which should reduce information asymmetry and increase market efficiency. This study aims to determine whether cryptomarket listings accurately represent the advertised substance, weight or number and purity, and whether there are differences in products purchased from the same listing multiple times.

Law enforcement drug purchases – predominantly cocaine, methamphetamine, MDMA and heroin – from Australian cryptomarket vendors (n = 38 in 2016/2017) were chemically analysed and matched with cryptomarket listings (n = 23). Descriptive and comparative analyses were conducted.

Almost all samples contained the advertised substance. In most of these cases, drugs were either supplied as-advertised-weight or number, or overweight or number. All listings that quantified purity overestimated the actual purity. There was no consistent relationship between advertised purity terms and actual purity. Across the six listings purchased from multiple times, repeat purchases from the same listing varied in purity, sometimes drastically, with wide variation detected on listings purchased from only one month apart.

In this data set, cryptomarket listings were mostly accurate, but the system was far from perfect, with purity overestimated. A newer, larger, globally representative sample should be obtained to test the applicability of these findings to currently operating cryptomarkets.

This paper reports on the largest data set of forensic analysis of drug samples obtained from cryptomarkets, where data about advertised drug strength/dose were obtained.

In this study, we develop understanding of factors that shape the propensity of market incumbents to collaborate in response to the threat posed by new market entrants. We are particularly interested in instances when a market's competitive structure becomes unsettled by new entrants who engage in nonconforming strategic tactics. In such situations, we propose two factors – strategic similarity among competitors and market-share instability – will systematically shape competitors' collaborative response to new entrants. To test our theory, we use data on strategic tactics and collaborative dynamics in the US airline industry from 1989 to 2010. We demonstrate that greater strategic similarity among a market's incumbents increases the likelihood of cooperation in response to the threat of a nonconforming new entrant, while greater market-share instability reduces cooperative response. Through this study, we extend existing understanding of the contextual circumstances under which established competitors recognize their mutual interests and band together.

Knowledge-intensive entrepreneurial firms (KIE) strongly rely on scientific and strategic research and development (R&D) capabilities to achieve higher performance levels. Hence, the purpose of this paper is to disentangle the effects of scientific capabilities and strategic R&D on KIE performance; and how the constituent elements of these dimensions can be configured to generate conditions for high performance.

The authors’ empirical setting involves companies that submitted projects to the Innovative Research in Small Businesses (PIPE) program in Brazil. The authors then run partial least square structural equation modeling to verify how scientific and strategic R&D capabilities influence the performance construct. Second, the authors apply fuzzy-set qualitative comparative analysis to identify configurations that are equifinal in terms of generating superior performance.

Findings indicate a strong association between scientific capabilities and KIE performance. The configurational approach outlines the existence of multiple paths to success, but human capital stands as a core condition throughout estimations.

The authors’ assessment has implications for how KIE firms are managed according to their organizational profiles and trajectories. Also, it advances the authors’ comprehension on how entrepreneurship policies can better target these distinct profiles.

The authors’ analysis provides new evidence on the inherent complexity behind the generation of high performance in KIE when addressing their portfolios of knowledge-related capabilities. More than that, the authors were able to identify the existence of heterogeneous profiles that can equally lead to higher levels of performance.

This chapter will provide an overview of the lived experience and peer support context and draws on the origins of peer work in mental health arenas. The recovery movement will be discussed and peer support will be put in context as an alternative/adjunct/complimentary role to the predominant biomedical model. What is the role of peer support in mental health settings? What is it that a peer does on a day-to-day basis? What are the principles and practices that a person with lived experiences engages in to operationalise peer support? What are the outcomes associated with peer support working and what does peer work look like when it works well? What type of settings does the peer work in and what teams are they a part of? This chapter explores some of the challenges peers face when integrating into teams and organisations. The dominance of the biomedical model will be discussed and how this can potentially impact on the peer's role in these settings.

The COVID-19 pandemic has created a significant disruption in the educational systems worldwide. Some institutions opted for emergency remote education due to the need to cancel in-person activities. The aims of this paper were to evaluate the use of asynchronous methodology in health sciences education, determine whether asynchronous methodology was sacrificing overall student satisfaction, and investigate whether satisfaction improved as the program develops.

Initially, there was phase 1 that corresponded to four weeks of activities. Each professor produced a video lesson, and after each video lesson, a weekly educational activity was made available. Next, phase 2 was implemented using the same methodology, however lasting six weeks. Three questionnaires were developed, and a Likert scale was administered to verify the students’ level of satisfaction. Data were analyzed using frequency distributions, mean values, standard deviation and confidence interval. The normality of the sum data (total of the questionnaires) was tested using the Kolmogorov–Smirnov test.

Although the students pointed out that the asynchronous methodology facilitated access to the content and considered this methodology satisfactory, they expressed a reduced level of satisfaction regarding emergency remote education in general when data from the first weeks were compared to those of the previous weeks. It is clear that students became increasingly discouraged and tired over time, which motivated the institution to shift into a combination of synchronous and asynchronous methodology to improve student learning.

Teaching in the field of health care encompasses difficult competencies that sometimes are impossible to be learned remotely, so there is a need to examine and evaluate properly the remote education in this area. With careful planning, educational institutions can evaluate their experiences during the pandemic, allowing those involved to highlight strengths and identify weaknesses to better prepare for future needs to improve remote education.

The COVID-19 pandemic has affected many industries, and reports indicate that this includes the illicit drug market. Recent research suggests that the homeless are particularly vulnerable during the pandemic, and the UK Government has acted to house rough sleepers. Research is scarce regarding homeless people’s experiences of the illicit drug market. This study aims to explore homeless people’s experiences of the drug supply in the UK during COVID-19.

Eight homeless people who use illicit drugs, residing in hostels for homeless people in Southampton, participated in semi-structured one-on-one telephone-based interviews.

A thematic analysis revealed five themes: availability of drugs, presence of dealers, quality of drugs, finances and personal experiences. Participants reported varying experiences of the drug supply, with lockdown measures expressed as the main reason for reduced supplies, as users found it difficult to find dealers and generate income for purchasing drugs.

The results may lack generalisability to the wider population, such as rough sleepers and drug dealers, suggesting a need for further research into people’s experiences of the drug supply during COVID-19. Research on this topic could be more in-depth through the use of research methods that are convenient for the homeless population.

Services should invest in harm reduction services and encourage homeless people who use drugs to engage in substitution treatment. Homeless services should provide psychological support for homeless people who use drugs.

The changes in homeless people’s behaviour following the pandemic may have implications for their interactions with the rest of society (e.g. begging in town centres may reduce). These changes in behaviour may also change the way society can best support homeless people.

The results are partially consistent with other research findings about the illicit drug supply; however, they also suggest that some individuals experienced minimal change in the illicit drug supply.

Building on the social cognitive theory, a mediation model was examined to understand the role of teacher self-efficacy as the underlying mechanism for the relationship between instructional leadership and teacher job satisfaction.

The study tests a mediation model between instructional leadership, teacher self-efficacy and job satisfaction. The data were collected via online survey from primary school teachers (N = 320) working for the Municipal Corporation of Delhi (MDC) in India. The mediation model was tested using the AMOS 22.0 after establishing the reliability and validity of measures.

Regression analyses using the bootstrapping method indicated that teacher self-efficacy mediates the relationship between instructional leadership and teacher job satisfaction.

This is a cross-sectional study. The scope for causal inferences is, thus, limited.

In the Indian setting, the study examines the association between instructional leadership and job satisfaction. The results show that the instructional leadership of the school principal is strongly related to teachers' self-efficacy, which, in turn is positively associated with teacher’s job satisfaction. Further, the findings confirm that instructional leadership, emphasizing instructional improvement, improves teachers' self-efficacy and job satisfaction.

The study explains the underlying process through which a school principal’s instructional leadership is related to teacher job satisfaction. This study is perhaps the first to focus on an Indian or a non-Western context.