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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.