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Evidence-informed decision-making is considered best practice when choosing interventions in applied settings across health, social care and education. Developing that evidence base, however, is not straightforward. The pupose of this paper is to describe the process implemented by the Sharland Foundation Developmental Disabilities Applied Behavioural Research and Impact Network (SF-DDARIN) that systematically develops an evidence base for behaviorally based interventions.

In this case study, the progressive research steps undertaken by the SF-DDARIN to develop the evidence base for an online reading intervention, the Headsprout® Early Reading programme (HER®), which uses behavioural principles to promote learning to read, are described.

A series of discrete projects targeting gaps in the evidence base for HER^® led to funding two randomised controlled trials in England, one in education and one in health and social care.

This case study illustrates an original, creative and effective way of collaborating across academic research departments and applied settings to extend the evidence base for a chosen intervention systematically.

This research uses a multifaceted approach to develop an MPA/MPP curriculum to support a data science track within the existing MPA/MPP programs by identifying the core and elective areas needed.

The approach includes (1) identifying a suitable structure for MPA/MPP programs which can allow the program to develop its capacity to train students with the data science and general public administration skills to solve public policy problems and leave explicit space for local experimentation and modification; (2) defining bridging modules and required modules for the MPA/MPP programs; and (3) developing of data science track thought to make suggestions for the inclusion of suitable data science modules into the data science track and benchmarking the data science modules suggested with the best practices developed by other professional bodies. The authors review 46 NASPAA-accredited MPA/MPP programs from 40 (or 22.7%) schools to identify the suitable required modules and some potential data science and analytics courses that MPA/MPP programs currently provide as electives.

The proposal includes a three-course (six–nine credits, not counted in the program but as prerequisites) bridging module, a nine-course (27 credits) required module and a five-course (15 credits) data science track/concentration.

This work can provide a starting point for the public administration education community to develop graduate programs focusing on data science to cater to the needs of both public managers and society at large.

The Quality Assurance Agency (QAA) for Higher Education in the UK focuses on maintaining, enhancing and standardising the quality of higher education. Of significant impact are the development of subject benchmark statements (SBS) by the QAA, which describe the type and content of study along with the academic standards expected of graduates in specific disciplines. Prior to 2022, the QAA did not have a SBS to which higher education policing programmes could be directly aligned.

Over 12-months, a SBS advisory group with representatives from higher education across England, Scotland, Wales and Northern Ireland, The College of Policing, QAA, Police Federation of England and Wales and policing, worked in partnership to harness their collective professional experience and knowledge to create the first UK SBS for policing. Post publication of the SBS, permission was sought and granted from both the College of Policing and QAA for members of the advisory group to reflect in an article on their experiences of collaborating and working in partnership to achieve the SBS.

There is great importance of creating a shared vision and mutual trust, developed through open facilitated discussions, with representatives championing their cause and developing a collaborative and partnership approach to completing the SBS.

A collaborative and partnership approach is essential in developing and recognising the academic discipline of policing. This necessarily requires the joint development of initiatives, one of which is the coming together of higher education institutions, PSRBs and practitioner groups to collaborate and design QAA benchmark statements.

The SBS advisory group has further driven forward the emergence of policing as a recognised academic discipline to benefit multiple stakeholders.

The SBS for policing is the first across the UK. The authors experiences can be used to assist others in their developments of similar subject specific benchmarking or academic quality standards.

This study aims to identify and assess the key ethical challenges associated with integrating artificial intelligence (AI) in knowledge-sharing (KS) practices and their implications for decision-making (DM) processes within organisations.

The study employs a mixed-methods approach, beginning with a comprehensive literature review to extract background information on AI and KS and to identify potential ethical challenges. Subsequently, a confirmatory factor analysis (CFA) is conducted using data collected from individuals employed in business settings to validate the challenges identified in the literature and assess their impact on DM processes.

The findings reveal that challenges related to privacy and data protection, bias and fairness and transparency and explainability are particularly significant in DM. Moreover, challenges related to accountability and responsibility and the impact of AI on employment also show relatively high coefficients, highlighting their importance in the DM process. In contrast, challenges such as intellectual property and ownership, algorithmic manipulation and global governance and regulation are found to be less central to the DM process.

This research contributes to the ongoing discourse on the ethical challenges of AI in knowledge management (KM) and DM within organisations. By providing insights and recommendations for researchers, managers and policymakers, the study emphasises the need for a holistic and collaborative approach to harness the benefits of AI technologies whilst mitigating their associated risks.

Despite an enormous body of literature on conflict management, intra-group conflicts vis-à-vis team performance, there is currently no study investigating the conflict prevention approach to handling innovation-induced conflicts that may hinder smooth implementation of big data technology in project teams.

This study uses constructs from conflict theory, and team power relations to develop an explanatory framework. The study proceeded to formulate theoretical hypotheses from task-conflict, process-conflict, relationship and team power conflict. The hypotheses were tested using Partial Least Square Structural Equation Model (PLS-SEM) to understand key preventive measures that can encourage conflict prevention in project teams when implementing big data technology.

Results from the structural model validated six out of seven theoretical hypotheses and identified Relationship Conflict Prevention as the most important factor for promoting smooth implementation of Big Data Analytics technology in project teams. This is followed by power-conflict prevention, prevention of task disputes and prevention of Process conflicts respectively. Results also show that relationship and power conflicts interact on the one hand, while task and relationship conflict prevention also interact on the other hand, thus, suggesting the prevention of one of the conflicts could minimise the outbreak of the other.

The study has been conducted within the context of big data adoption in a project-based work environment and the need to prevent innovation-induced conflicts in teams. Similarly, the research participants examined are stakeholders within UK projected-based organisations.

The study urges organisations wishing to embrace big data innovation to evolve a multipronged approach for facilitating smooth implementation through prevention of conflicts among project frontlines. This study urges organisations to anticipate both subtle and overt frictions that can undermine relationships and team dynamics, effective task performance, derail processes and create unhealthy rivalry that undermines cooperation and collaboration in the team.

The study also addresses the uncertainty and disruption that big data technology presents to employees in teams and explore conflict prevention measure which can be used to mitigate such in project teams.

The study proposes a Structural Model for establishing conflict prevention strategies in project teams through a multidimensional framework that combines constructs like team power conflict, process, relationship and task conflicts; to encourage Big Data implementation.

This paper aims to offer a commentary on Denne et al.’s (2024) article discussing the journey undertaken by the Sharland Foundation Developmental Disabilities Applied Behavioural Research and Impact Network to augment evidence surrounding the efficacy of the online Headsprout® Early Reading programme.

Drawing from over 15 years of professional experience as a qualified teacher in special education settings, the author reflects on the network’s approach and its alignment with their own expertise.

While acknowledging the commendable focus of the network on amassing additional evidence, this commentary underscores the importance of identifying barriers and fostering adaptability within the educational landscape. Central to the discussion is the imperative to prioritise students’ needs and tailor data collection methods to suit their unique contexts.

This commentary is aimed at professionals working in special education settings striving to improve their practice and student outcomes.

Recognising current, significant rates of youth sexual violence and abuse (YSVA) and the need for more comprehensive prevention approaches to combat this social issue, new approaches are required to ensure that agency is given to the people who are most affected and who know their lives the best. This paper aims to report a youth-led (Young Voices United [YVU] Committee) participatory design approach aimed at delivering the highest level of engagement to understand what people agree is needed to reduce YSVA in their own communities.

The seven-step co-design (Trischler et al., 2019) process was implemented following ethical clearance. Over five months, 13 group co-design sessions involving 102 young people aged 12–25 years, 17 parents/caregivers (including young mums) and 9 teacher/guidance officers were conducted. Purposive sampling was undertaken to ensure that young people who had previously experienced YSVA or were most at risk of experiencing YSVA were overrepresented. Convenience sampling was used to gain wider community involvement in co-design. Four sessions were facilitated by YVU members, who were aged between 12 and 25 years, and more than 66 people helped the design team. Inductive thematic analysis identified emergent themes across completed co-design sessions.

New ideas and solutions to prevent YSVA can be identified by young people who have previously experienced violence, carers, other young people and community members. A core finding in this study is the need for positive relationship role models and an enhanced understanding of consent. Education and training, a community promotional campaign, sector involvement, capacity-building and consideration of the unique needs of different target audiences were key ideas emerging from youth-led co-design. The YVU Committee provided recommendations for resource prioritisation.

This youth-led co-design process empowered the community. Project stakeholders have since formed partnerships won funding and used that funding to co-design and trial a new programme aiming to provide a safe haven for young people at risk of YSVA. The pilot programme delivers a safe and supportive environment for young people delivered at a time when it is needed most. Other geographical areas are now seeking to replicate the programme. The co-design processes and tools detailed in this study can be adapted to the design of programmes for those already engaged with the youth justice system and should be considered as part of a public health approach to effectively prevent and respond to YSVA and other youth crimes.

This paper advances understanding, providing a practical approach that ensures youth views are given weight [audience and influence described in Lundy’s (2007) participatory framework]. This paper explains how the YVU Committee, established at the commencement of the project, oversaw the community co-design effort, which followed Trischler et al.’s (2019) seven-step co-design process. Ideas were generated, and consensus views were consolidated, delivering the highest level of engagement according to Willmott et al.’s (2022) methodology, agent of change, training and engagement taxonomy. The participatory design method led to high levels of community engagement, and the success of the project is attributed to the establishment of the YVU Committee and stakeholder support.

This paper aims to explore the value that care from a primary mental health care nurse (PMHCN) can bring to people with mental health (MH) problems in health-care delivery.

This study used a focus group of 20 PMHCNs working in primary care (PC) health settings in Saudi Arabia before using thematic content analysis to describe and explore their views and experiences of the integration of MH care into PC units. The researchers used a semi-structured interview format, which began with open-ended probes and proceeded to use of theoretical sampling based on emerging data related to their experiences and perceptions in the integration process.

Four main themes were derived from the thematic analysis of interviews: collaboration, knowledge and experience, awareness and orientation care and influential role.

This study’s use of qualitative research methods has certain limitations, including the small sample size of 20 participants, which means that it may not be representative of all primary MH nurses in primary health-care centers in Saudi Arabia. To make the results applicable to a broader audience, the researcher sought to moderate this limitation by including participants with extensive experience in multiple settings and nurses of different ages.

The cost implications of the PMHCN service are not yet comprehensively understood, but it is apparent that this model is not only regarded extremely positively by MH practitioners but may also have significant benefits in terms of patient outcomes. The configuration of local services and relevant patient demographics will affect the extent to which this study’s findings are transferable. Meanwhile, further research in this area could seek to provide further evidence about the aspects of the PMHCN service model, such as secondary care referrals and waiting times, accident and emergency attendances and patient recovery rates and the impact of providing such a service on health-care practitioners as well as its cost-effectiveness.

This study’s findings suggest that PMHCNs believe that their care improves the quality of PC for patients in PC settings. Elements of the PC placement that professionals particularly valued include their ability to assist patients in their own community and the inclusion of volunteer stakeholders who act as preceptors. The participants expressed a need for improvement of policy related to referrals within the clinics.

This study aims to investigate the nonfinancial information related to capitals (intellectual, human, social and relationship, and natural) demanded by professional investors in their decision-making process, which can improve the usefulness of integrated reporting for this target audience.

A Systematic Literature Review in the Scopus, Web of Science and Google Scholar databases enabled the identification of information demanded by professional investors. This information was presented to experienced Brazilian investors participating in a focus group to align the theory on this topic with professional practice.

The results allow us to conclude that the focus group participants' perception is aligned with the international literature, both in the importance given to most of the nonfinancial information items identified and in the lack of interest in using integrated reporting in investment decisions. Nonetheless, the general perception of the focus group is not aligned with the literature procedures in terms of social and environmental information.

A study with a larger scope and the adoption of other approaches can contribute to broaden the understanding of the perspectives of professional investors in Brazil, as well as in other regions.

The authors provide evidence that contributes to discussions about the information to be disclosed in integrated reports. Their results are useful to legislators, regulators, report preparers and investors.

The authors investigate the information demanded by professional investors in their decision-making process aiming to fill the literature gap relating the determinants of the integrated reporting disclosure and what is demanded by this target audience as a minimum content to be reported. As an additional result they offer interesting contributions to the literature providing reflections on nonfinancial information which have become important for Brazilian investors as from the COVID-19 pandemic.

A systematic investigation of postgraduate leadership programs for health and/or human services offered by Australian higher education institutions was undertaken.

Quantitative analysis identified the core characteristics of the programs. A thematic analysis of the course learning outcomes was conducted and six major themes of disciplinary leadership and management knowledge; research and analytical skills; professional practice; communication and collaboration; creativity and innovation; and system knowledge are shared in this study.

The authors conclude that Australian universities have taken an evidence-based approach to leadership education.

More work might need to be undertaken to ensure leadership theories are incorporated into learning outcomes.