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The current paper sought to assess health research institutions in transferring knowledge from health research findings into decision and policy making in Malawi. The study employed both a qualitative and a multi-case study approach. Data was gathered through interviews. The study's participants were purposefully chosen directors of research institutions, public universities, and the ministry of health. Few research institutions compile a list of organisations that might benefit from their health research findings, and even fewer libraries have databanks or repositories. Policymakers rarely receive actionable messages from research institutions. Researchers are short on communication skills as well as time to transfer research findings into usable formats. Research centres including libraries should provide an opportunity for interacting and enhancing the use of research evidence. Individuals, research groups, institutions must all develop stakeholder interaction structures. Structures should define incentives and advancement opportunities for those working in health research institutions.

Artificial intelligence (AI) has the potential to dramatically change the human approaches to work, and specifically to learning and development. While AI coaching can reduce costs and increase accessibility, it also presents both opportunities and threats to human coaches. The objective of this study was to conduct a systematic literature review of peer-reviewed research on the use of AI in coaching.

A systematic literature review (SLR) method was used to search eight databases for articles produced up to March 2024. Data extraction was conducted, with Quality Assessment undertaken independently, in parallel, using two researchers and a third arbiter. The ROBINS-I tool was used to assess the risk of bias in the included studies. A narrative synthesis of a total of 16 quantitative, qualitative or mixed-method studies covering n = 2312.

The SLR identified four key themes: Research design and AI integration, AI usefulness in coaching, impact of AI coaching and ethical considerations. The findings suggest that AI coaches can be effective, accepted, useful and match human coaches in competence for specific tasks.

AI coaching is a growing area of practice and research. This paper brings together the literature and identifies future research priorities and potential next steps in AI coach development.

The paper uses clinical research SLR methods applying these robust processes to the field of organisational research, to set a new standard through the use of a pre-determined research protocol, quality assessment and ROB, well providing a comprehensive literature review of AI coaching.

Smoke-free prison policies have been introduced in some countries, in part to address very high levels of tobacco use in people in prison. However, relapse rates post-release remain high. This papers aims to improve understanding of post-release smoking and/or vaping behaviour is necessary to inform support for a priority population.

The authors searched health, social science and criminal justice databases for studies about smoking/vaping behaviours among people released from smoke-free prisons. Studies were included if they reported primary data and were published between January 2017 and March 2024 in English; the population was adults/young people (16 yr+) imprisoned or formerly imprisoned, in prisons with comprehensive smoke-free policies; and at least one of the following was reported: pre-release intention to smoke, vape or remain abstinent post-release; smoking/vaping behaviour post-release and factors influencing smoking/vaping behaviour; attempts to quit again following post-release smoking/vaping relapse.

Nine studies met our criteria. The evidence base is small and mainly from the USA or Australia. Evidence continues to suggest that most people resume smoking after leaving a smoke-free prison. No new interventions have been successful in reducing relapse rates. No studies report on vaping post-release, although two studies report on perceived factors affecting smoking relapse post-release from prisons allowing vaping.

Given very high rates of relapse, there remains a significant need to better understand what approaches are feasible and acceptable for reducing return to smoking post-release.

This review updates the limited evidence on smoking behaviours after leaving a smoke-free prison.

Location-based games (LBGs) have afforded novel information technology (IT) developments in how people interact with the physical world. Namely, LBGs have spurred a wave of territoriality (i.e. controlling) and exploration (i.e. discovering) of augmented physical space that are driven by different social dynamics related to group formation, social connectivity and altruism. The aim of this study is to investigate this dynamic and how it is further related to the use intensity of location-based IT.

This work presents a structural equation model that connects social dimensions of play to territorial control and exploration, and playing intensity. The model was tested with psychometric data gathered from a global sample of Pokémon GO players (N = 515).

In the tested sample, players' social self-efficacy and altruism were positively associated with team identification. Team identification, in turn, was positively associated with both territorial control and exploration tendency. Territorial control had a significant relationship with playing intensity; however, exploration tendency did not. This implies territorial control is the stronger predictor of playing intensity.

The findings suggest that human primal urges to conquer and control geographical territory may surface in the digital reimagination of physical space. LBGs offer opportunities for making use of new forms of play (territorial control and exploration) in motivating locative behaviours.

This research quantifies the relationships between a social predisposition, team identification, territorial control, exploration tendency and playing intensity in the context of Pokémon GO. It contributes new knowledge to the understanding of territorial behaviour (control and exploration) in location-based IT.

The aim of this study is two-fold: (1) to promote a model of youth participatory research and offer a window of understanding into how it can be enacted and (2) to understand youth perspectives on youth empowerment. This study asks: “how can youth help us understand youth empowerment?”

The study applies youth participatory action research (YPAR) and interpretative phenomenological analysis. The study illustrates how to enact a model of YPAR by engaging youth in the process of research in a youth-serving community non-profit organization.

This study sets out to make two important contributions, one methodological and one theoretical: First, the study contributes to our understanding of the opportunities and benefits of youth-engaged, peer-to-peer research. Specifically, this study promotes a model of youth participatory action research and knowledge making processes, and the associated social and formal benefits for youth. By extension, this study illustrates an approach to engage youth in formal contexts which has implications for both management and organizational studies and education. Finally, the study extends our understanding and conceptualization of the phenomenon of youth empowerment (as informed by youth perspectives).

The study offers insight into how to conduct youth participatory action research and specifically how to address two limitations cited in the literature: (1) how to authentically engage youth including how to share power, and (2) how to perform youth participatory action research, often critiqued as a black box methodology.

The purpose of this paper is to lay out the data competence maturity model (DCMM) and discuss how the application of the model can serve as a foundation for a measured and deliberate use of data in secondary education.

Although the model is new, its implications, and its application are derived from key findings and best practices from the software development, data analytics and secondary education performance literature. These principles can guide educators to better manage student and operational outcomes. This work builds and applies the DCMM model to secondary education.

The conceptual model reveals significant opportunities to improve data-driven decision making in schools and local education agencies (LEAs). Moving past the first and second stages of the data competency maturity model should allow educators to better incorporate data into the regular decision-making process.

Moving up the DCMM to better integrate data into their decision-making process has the potential to produce profound improvements for schools and LEAs. Data science is about making better decisions. Understanding the path laid out in the DCMM to helping an organization move to a more mature data-driven decision-making process will help improve both student and operational outcomes.

This paper brings a new concept, the DCMM, to the educational literature and discusses how these principles can be applied to improve decision making by integrating them into their decision-making process and trying to help the organization mature within this framework.

The purpose of this article is to expand knowledge on Swedish principals' professional development (PD) from the perspectives of superintendents. In particular, the article analyzes how superintendents understand and organize PD for principals.

Empirical data are derived from a strategic sample of ten (n = 10) superintendents. Transcribed interviews were analyzed in two steps. The first step was carried out inductively to identify prominent aspects of PD for principals. In the second step, the detected themes and categories were analyzed more deductively through the theoretical lens of learning in organizations.

The analysis revealed that the purpose of PD for principals and the principal leadership that must be nurtured from the perspective of superintendents spans a scale, from knowing what is already required to critically examining and exploring the unknown. In addition, the understanding of learning stretches from an individual enterprise to a collective activity. However, noteworthy differences between the superintendents were detected and organized into three ideal types.

Despite a profound research design and a careful selection of superintendents, the sample sets some limits because of the plurality within the decentralized Swedish school system.

The results can support strategies from superintendents, principals and educational authorities to build infrastructures that foster PD at different levels of school systems.

This article offers a novel perspective by analyzing principals' PD from the perspectives of superintendents.

Using a large-scale school improvement program in Sweden as a case, this article aims to explore the state governance of a large-scale school improvement program in Sweden and how officials at the state agency level made sense of the reform ideas and operationalized them in policy actions.

Data were integrated from Swedish Government Official Reports and formal directives from the Ministry of Education. Officials of the Swedish National Agency for Education (SNAE) were also interviewed. Data were analyzed to identify how regulatory rules, professional norms and cultural–cognitive beliefs shaped SNAE's design of the program.

The article shows how different types of governance (i.e. regulatory rules, professional norms and cultural–cognitive beliefs) set the direction for managing large-scale school improvement. In particular, in the studied case, the lack of clear regulatory directives enabled sensemaking processes clearly influenced by normative ideas and cultural–cognitive beliefs.

The findings are mostly presented from the perspective of managers, so further study is required to attain a broader understanding of the state agency level's role and function.

By illustrating the strengths of understanding various dimensions of educational governance, the findings are highly relevant to both policymakers and educational managers at different levels of school systems.

The article offers a valuable perspective on large-scale school improvement and educational governance by focusing on a level that has hitherto received little attention.

The circular economy (CE) approach has been acknowledged as key for manufacturing organizations wishing to overcome sustainability challenges. However, the transition has been slow. Stakeholder engagement is a driver of the transition, but there is limited knowledge on stakeholder engagement practices in a CE context. The purpose of this paper is thus to explore with whom, on what and how organizations engage with stakeholders to implement CE as part of sustainability efforts.

This study is situated at the intersection of CE, stakeholder theory and supply chain literature. A case study with three Swedish manufacturing organizations was conducted to explore stakeholder engagement practices that facilitate the implementation of CE in organizational practice and the supply chain, considering conceptual differences between stakeholder engagement for sustainability and CE.

This study provides empirical evidence on how manufacturing organizations engage stakeholders to implement CE as part of organizations' sustainability efforts. The study highlights that manufacturing organizations have to move not only from linear to circular resource flows, but also from linear to circular stakeholder engagement. Such engagement can be achieved by extending with whom, expanding on what and leveling up how stakeholders are engaged.

This study provides an enhanced conceptual understanding of stakeholder engagement in the CE context and discusses differences regarding stakeholder engagement based on linear thinking. The study emphasizes the role of circular stakeholder engagement practices for the transition toward CE in manufacturing organizations.

Digital twins (DTs) and other data-based solutions are gaining an increasing foothold in manufacturing business, whereas a mere physical product is often insufficient to satisfy all customers’ expectations. As a result, companies are seeking novel ways of value creation, and one exciting opportunity is the use of DTs in new business creation, where they can offer diverse possibilities for innovative businesses. This paper aims to examine the impacts and challenges of DTs on new business creation in the manufacturing industry.

This study used a qualitative research approach, which combined semistructured interviews and an iterative Delphi study as research methods. The participants for the interviews and Delphi study were from different sectors and roles in the manufacturing industry. Altogether, 10 interviewees from eight companies took part in the interviews, and the expert panel of the Delphi method contained 12 professionals.

The results of the study indicated that DT can significantly impact the business models of manufacturing companies. DT can enhance operations, offer cost savings and business growth and allow stakeholders to focus on core competencies while developing their businesses. Several challenges for leveraging DT were identified, such as data ownership, resource allocation, internal bureaucracy and the difficulty of demonstrating the actual value of data-based services to potential customers.

This paper provides a structured expert-led assessment of the potential impacts of DT utilization in the creation of new business opportunities.