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This study aimed at rethinking ways in which educators from different fields can collaborate to respond to the rapidly evolving demands of health professions education (HPE). The goal was to investigate how a research-to-resources approach can be applied to engage in knowledge translation (KT) of research findings for the benefit of introducing medical students to uncertainty in the clinical learning environment.

An interdisciplinary team of medical educators, human resource development (HRD) scholars and emergency medicine fellows engaged in iterative cycles of action research (AR) to develop, pilot and refine case-based learning resources on clinical uncertainty. The team leveraged prior research on physicians’ decision-making during COVID-19, experimented with generative AI tools, and collected feedback from medical students to guide resource development.

The findings of this study are twofold. On the one hand, the authors reflect on the lessons learned of developing case-based learning with the help of generative AI. While student feedback indicated that the case helped normalize and process experiences with uncertainty, key challenges included adapting research data to create relevant, sustainable learning resources and designing effective discussion prompts. On the other hand, the authors provide insights into the opportunities and challenges of our interdisciplinary collaboration. The authors show that knowledge utilization is not simple, but complex, and that more work needs to be done to effectively disseminate resources as part of the desired uncertainty curriculum.

This study attempts to apply a KT framework for bridging the research-practice gap in HPE through interdisciplinary collaboration and AR. It provides lessons learned for developing case-based curricula on complex topics like uncertainty. The findings highlight the need for adaptive KT processes when dealing with rapidly evolving healthcare contexts.

This paper offers a novel example of research-to-resource KT in medical education, integrating perspectives from HRD and leveraging emerging technologies. It contributes to understanding how interdisciplinary teams can collaborate to create timely, evidence-based educational resources for navigating uncertainty in professional practice. The study also provides insights into the challenges and opportunities of translating complex research findings into practical learning tools to tackle real-world challenges in HPE.

The purpose of this study was to provide a model for informal workplace learning. Despite the prevalence and recognized importance of informal learning in the workplace, scattered literature and different perspectives have caused a lack of shared understanding about its nature, and little research effort has been made in this direction so far.

This paper identified the most significant components of informal workplace learning using the qualitative meta-synthesis method. For this purpose, after searching sources from different databases and screening them, 17 sources were selected due to compatibility with the research criteria. The texts extracted from the sources were analyzed using a thematic analysis method and synthesized using an aggregation approach. Finally, a themes network was created as a model with 8 main components and 11 sub-components.

The results indicated that eight components were considered significant to informal workplace learning, including learning stimulus, awareness and intent to learn, action or experience, critical reflection on action, facilitators, collective learning, self-directed and context.

This meta-synthesis contributes to the coherence and integration of the informal workplace learning literature. The obtained conceptual model, in addition to the general components of informal workplace learning, provides an explanation of the characteristics of each and the relationships between its components to achieve a complete understanding of the nature of informal workplace learning. Since no study has been done so far to comprehensively identify the most significant components of informal workplace learning, it is not possible to refer to their results in comparison with the results of this study.

This paper systematically reviewed research on accounting fraud in the non-profit organisation (NPO) sector during 2004–2024 to identify gaps in theory and practice with the aim of producing a new parsimonious global fraud model.

This paper utilised a structured literature review methodology.

We propose a new holistic approach for the NPO sector worldwide, with two foci of “what may contribute to fraud” and “what may prevent fraud”.

The future research agenda for the new holistic approach is provided.

The approach helps donors promote accountability and transparency in the NPO sector worldwide, thereby sustaining the development of this sector.

To the best of the authors’ knowledge, this paper is the first comprehensive worldwide fraud research review, making distinct contributions. Globally, the approach is the first dedicated to the NPO sector, including different stages of fraud occurrence (undetected, suspected, actual/detected and future), and using a multi-disciplinary approach to prevent these stages. The approach is also the first to incorporate individual-level, organisational-level, industry-level and country-level factors into predicting future fraud.