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This study identifies the policing pre-deployment training content for Korean experts based on needs assessments. Korean policing is at an excellent level to transfer knowledge and skills. Pre-deployment training should be designed systematically and training of trainers approaches should be implemented.

This study used T-tests, Borich needs assessments, and Locus for Focus model analyses to determine the priorities of needs for pre-deployment training in policing. A survey of 116 experienced experts was conducted, with 87 responding (75%).

The study identified 26 factors that deployed law enforcement professionals want to learn from pre-deployment training. These factors were categorized into three areas: research, training design and methods and understanding of partner countries and international development cooperation. The nine highest priorities for training needs were related to understanding the status and conditions of police training in the country to which policing experts are deployed.

This study was limited to Korean policing experts. And the study did not evaluate the validity of the training curriculum or indicators.

Technical assistance in international policing development cooperation aims to train future trainers who can train local police. This study found that limited learner information and poor communication skills can lead to ineffective technical assistance.

This study highlights the importance of knowledge transfer and effective pre-deployment training for policing. The findings can be used to improve training programs and police human resource development.

Work-based learning is critical for enhancing employees’ skills and contributing to the firm’s performance. This paper aims to establish the effects of needs assessment on the relationship between training intensity as part of learning and how employees’ skills are reflected in firm performance.

The paper used the World Bank Tanzania Employees Skills Survey (TESS) dataset, which contains 424 firms. This paper estimated the moderated mediation model through partial least squares structural equation modelling (PLS-SEM) and employed the index of moderated mediation to determine if the model was correctly specified.

The results show that among three skills, i.e. technical, interpersonal/communication and work ethic skills, only the level of technical skills mediated the relationship between training and the firm’s performance. The index of moderated mediation suggests a threshold point for the firm’s training needs, above which the indirect effect of training on performance through technical skills starts to decrease. The negative correlation between the firm’s training needs and the indirect effect suggests that employees’ essential human capital qualities, viewed from the angle of their training needs, are among the key factors for executing effective training.

This paper’s conceptual model is limited because it does not incorporate an education variable for the trained employees. In addition, it only conceptualized the perceived most important skills of interpersonal communication, technical skills and work ethic, despite there being other skills that could have been considered. Moreover, the data only measured the present skill level at three on the Likert scale, providing limited room for skill level variance.

Those who decide which training programme deserves priority given limited resources and the firm’s goals need to understand that training is an addition to what their employees already have and, thus, should make extra efforts to equip them with more knowledge relating to their assignments. Moreover, this understanding should extend to the employees themselves.

The paper introduced and showed the necessity of training needs assessment to increase the value of training in enhancing the firm’s performance. We propose a model for assessing training intensity through process analysis. The respective model depicts a threshold point for the firm’s training needs, below which the training will work.

With the outbreak of the COVID-19 pandemic, online assessment has become the dominant mode of examination in higher education institutions. However, there are contradictory findings on how students perceive online assessment and its impact on their academic performance. Thus, the purpose of this study is to evaluate the potential impact of online assessment on students' academic performance.

This study proposes a research model based on the task–technology fit theory and empirically validates the model using a survey from students in the UK. In addition, the study conducted four experiments based on paper-based and online assessments and analysed the data using paired sample t test and structural equation modelling.

The findings show that the use of online assessment has a positive impact on students' academic performance. Similarly, the results from the experiment also indicate that students perform better using online assessments than paper-based assessments.

The findings provide crucial evidence needed to shape policy towards institutionalising online assessment. In addition, the findings provide assurance to students, academics, administrators and policymakers that carefully designed online assessments can improve students' academic performance. Moreover, the study also provides important insights for curriculum redesign towards transitioning to online assessment in higher education institutions.

This study advances research by offering a more nuanced understanding of online assessment on students' academic performance since the majority of previous studies have offered contradictory findings. In addition, the study moves beyond existing research by complementing assessment results with the views of students in evaluating the impact of online assessment on their academic performance. Second, the study develops and validates a research model that explains how the fits between technology and assessment tasks influence students' academic performance. Lastly, the study provides evidence to support the wide use of online assessment in higher education.

Evidence suggests supported living can improve functioning and reduce need. However, its lack of a clear definition has presented significant challenges to establishing a definitive evaluation of its efficacy. This study aims to evaluate the efficacy of a defined model of supported living using in terms of reductions made to aspects of clinical and social recovery.

A naturalistic, non-controlled assessment was conducting using using the Camberwell Assessment of Need Clinical Scale with a sample of adults with severe and enduring mental illness residing with a UK-based mental health company at 1 of 12 UK locations.

Analysis regarding preliminary outcomes relating to health and social need is presented with comparison between admission and six-months post-admission (N = 90). Additional analysis relating to outcomes at 12 months is also provided (N = 39). Significant outcomes are noted at both timepoints in terms of reducing unmet need and levels of formal and informal help given/required during tenancy.

The findings support that, even in the absence of clinical recovery, opportunities exist to make meaningful and valuable improvements to unmet need and functional independence, with implications for clinical practice in the context of supported living.

The findings provide encouraging early indications of the benefits of the model in making meaningful reductions to functional and psychological needs in individuals with severe and enduring mental illness.

Early bio-psycho-social experiences can dramatically impact all aspects of development. Both autism and traumagenic histories can lead to trans-diagnostic behavioural features that can be confused with one another during diagnostic assessment, unless an in-depth differential diagnostic evaluation is conducted that considers the developmental aetiology and underpinning experiences and triggers to trans-diagnostic behaviours.

This paper will explore the ways in which biological, cognitive, emotional and social sequelae of early trauma and attachment challenges, can look very similar to a range of neurodevelopmental disorders, including autism. Relevant literature and theory will be considered and synthesised with clinical knowledge of trauma and autism.

Recommendations are made for how the overlap between features of autism and trauma can be considered during assessments alongside consideration for interventions to enable people to access the most appropriate support for their needs.

Many features of the behaviours of individuals who have experienced early childhood trauma and disrupted or maladaptive attachments, may look similar to the behaviours associated with autism and hence diagnostic assessments of autism need to carefully differentiate traumagenic causes, to either dual diagnose (if both are present) or exclude autism, if it is not present. This has for long been recognised in child and adolescent autism specialist services but is less well developed in adult autism specialist services.

The purpose of this paper is to outline what early support should be offered to children and young people with neurodevelopmental conditions including those who are autistic or have intellectual disability. A review of all child and adolescent mental health services (CAMHS) services in the Northwest completed by NHS England and Improvement (Doyle and Ryan, 2021) found that there was no clear Tier 2 offer (for mild to moderate mental health issues) for autistic children and young people or for those with intellectual disability. Following this review, a project group that had developed a model for mental health services for autistic children and young people and for those with intellectual disability (Wee et al., 2021) was tasked with articulating the “Getting Help” offer for children and young people with neurodevelopmental conditions, including intellectual disability.

A working group was created consisting of professionals from mental health, education and local authority and lived experience representatives of coproduction partners. A brief review of the background literature was also conducted. Six meetings were held to create a framework for the “Getting Help” offer and to discuss what the offer should be based on professional expertise and lived experience.

Recommendations for the Getting Help multi-agency offer included pre- and post-assessment support as part of a single attention deficit hyperactivity disorder/autism/neurodevelopmental pathway, community support for children with intellectual disability, access to adapted mental health support and the need for early recognition and support for avoidant and restrictive food intake disorder. Key themes from working group discussions included the reduction in the quality of services experienced by children and families due to silo working, which increased the risk of falling between multi-agency services and led to early signs of neurodevelopmental needs, or mental health issues being missed. Another theme was aiming for equity of access and outcomes.

This work is a response to a coproduced review of CAMHS in the Northwest and incorporates the lived experience of young people and families. It also adopts a holistic multi-agency neurodevelopmental approach rather than focusing on a single diagnosis or service.

This research explores the drivers that determine the ability of spontaneous volunteer groups (SVGs) to sustain their operations. That sustainability aims to support those affected in the community beyond the response phases of a disaster and into the recovery and mitigation phases to build resilience to the next disaster.

To investigate the sustainability of spontaneous volunteering that takes place in the aftermath of a disaster, we conducted qualitative interviews in three English locations where groups of spontaneous volunteers emerged following major floods. We analysed our qualitative data using thematic analysis.

Our findings theorise the drivers of SVG sustainability and present these in four themes: (1) assessment of ongoing needs; (2) organisation of resources to address that need; (3) leadership and followership creating a weight of operational capability and (4) influence of political will. Through exploring these drivers, we uncover key factors to developing a sustainable SVG system including trusted leadership and social capital.

We show how the four drivers interact to support the continuity of SVGs and sustain their operations. This has implications for how leaders of SVGs create a volunteering environment that encourages ongoing involvement and has implications for officials to view SVGs as a support rather than a risk.

The novelty of our paper is in rejecting the argument of the temporal limit of SVGs to the response phase by theorising the drivers that make their operations sustainable for recovery and resilience building to mitigate the next disaster. This includes our examination of the interplay between those drivers.

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 study introduces the Digital Maturity Assessment Model (DMAM), a model tailored to assess the digital maturity of SMEs, tracing its development from addressing business challenges to establishing a comparative analysis framework grounded in Resource Dependence Theory (RDT).

DMAM is based on positivist philosophy and objectivist epistemology, supported by Design Science Research (DSR) and Capability Maturity Model Integration (CMMI). The methodology involves iterative development, from problem identification to creating a practical solution for assessing SMEs' digital maturity and guiding digitalization efforts.

DMAM offers a clear and specific methodology, distinguishing itself by addressing the unique needs of SMEs, particularly resource-dependent ones. The model’s development fills critical gaps in existing literature and provides a practical artifact for SMEs' digitalization.

DMAM is original in its focus on the specific needs of resource-dependent SMEs, offering actionable recommendations and addressing shortcomings in existing models. It serves as a foundational framework for SMEs' digital transformation, making a significant contribution to the digital maturity assessment literature.