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The purpose of the paper is to predict mapping of areas vulnerable to flooding in the Ourika watershed in the High Atlas of Morocco with the aim of providing a useful tool capable of helping in the mitigation and management of floods in the associated region, as well as Morocco as a whole.

Four machine learning (ML) algorithms including k-nearest neighbors (KNN), artificial neural network, random forest (RF) and x-gradient boost (XGB) are adopted for modeling. Additionally, 16 predictors divided into categorical and numerical variables are used as inputs for modeling.

The results showed that RF and XGB were the best performing algorithms, with AUC scores of 99.1 and 99.2%, respectively. Conversely, KNN had the lowest predictive power, scoring 94.4%. Overall, the algorithms predicted that over 60% of the watershed was in the very low flood risk class, while the high flood risk class accounted for less than 15% of the area.

There are limited, if not non-existent studies on modeling using AI tools including ML in the region in predictive modeling of flooding, making this study intriguing.

This paper focuses on knowledge sharing in health care. The aim of the paper is to further understand how digital applications can facilitate knowledge sharing between different care providers and health-care professionals.

The paper is based on a qualitative action case study, performed as a formative intervention study as a Change Laboratory, where a digital application concerning wound support was used. The Change Laboratory was used for knowledge sharing in the assessment and treatment process of wounds. The collected data was then thematically analyzed.

The findings show how digital applications can facilitate knowledge sharing, but also the need for complementary collaborative sessions. The main contribution is the rich description of how digital applications together with these sessions can facilitate knowledge sharing.

This paper shows that activities as collaborative sessions performed on the organizational level prove to support knowledge sharing and learning when a new digital application has been implemented in the work process. It also shows that these sessions contributed to identifying new knowledge that has potential for being included in the application and hence are important to keeping the application updated and relevant over time.

According to the U.S. Department of Education’s National Center for Education Statistics, in the fall of 2020, 72.8% of U.S. postsecondary students were enrolled in distance education courses—up from 36.3% in the fall of 2019. While this surge may be explained by a number of factors, one of the most significant factors is the COVID-19-induced pivot to online learning. The rapid and intense expansion in distance education due to COVID-19 offered learners some sense of continuity in their studies, but it also revealed stark inequities in learner resources and access—especially for students of Color and students from lower-income households. Further, as COVID-19 spread, the U.S. roiled in a “twin pandemic” of racial injustice that continued to metastasize—spawning more pain-points such as online environments where racism became unmasked when face-to-face norms were abandoned. These revelations about the shadow side of online learning are particularly concerning in the context of leadership education and its commitment to inclusion, collaboration, and holism. Given this new context for online leadership education, the purpose of this piece is to reflect on how the Journal of Leadership Education has shepherded the journey of online leadership education and what the future of this journey might look like for online leadership educators committed to change. Scaffolded by the Community of Inquiry model, we offer promising practices that address cognitive, social, teaching, and learner presence in the pursuit of culturally relevant/sustaining and equitable online leadership education.

This paper aims to examine how bank stress tests affect bank tax planning.

The study uses US bank stress test bank size thresholds and a regression discontinuity design to investigate the effect of the Dodd-Frank Act and the instituted bank stress tests on bank tax planning. We use different measures of tax planning, including bank-specific measures and measures of tax avoidance, tax aggressiveness, and effective tax planning from recent literature. Our regression discontinuity and difference-in-differences regression analyses include bank and year fixed-effects and lagged bank characteristics to control for potential endogeneity.

This study finds that stress tests have the unintended consequences of intensifying tax planning and increasing tax avoidance. Stress-test banks increase tax avoidance by accelerating charge-offs, net interest, and non-interest expenses. However, this increase in tax planning is not optimally maximized, leading to lower effective tax planning compared to non-stress-test banks. Banks with a substantial increase in tax avoidance under the Dodd–Frank Act tend to increase their risk, investing in high-risk-weight assets and lending in riskier loan categories. These findings are consistent with tax minimization conditions under added regulatory attention and policy uncertainty.

Literature on bank tax planning is limited. Most tax avoidance literature excludes financial institutions such as bank holding companies mainly due to differences in business practices and regulatory frameworks. This study is the first to investigate tax planning behavior among US banks. The current study thus extends the research field by examining the effect of bank transparency regulations, such as bank stress tests, on bank tax planning activities. Our findings have a direct bank policy implication. They show that stress testing has the unintended consequences of increasing tax planning activities and consequently increasing risk-taking on banks with high tax avoidance, which goes against the goals of stress testing regulations.

This study aims to explore which outcome measures are used by occupational therapy staff in adult social care settings in the UK, and the factors affecting use of outcome measures.

A quantitative descriptive research design was used, using a cross-sectional study to explore occupational therapy staff views on the use of outcome measures. A 38-question survey was developed on Microsoft Forms. Recruitment occurred online over a three-week period in 2021 via the social media platform “Twitter”. Results were analysed using Excel using descriptive statistics and qualitative results used thematic analysis.

Participants (n = 20) used a range of outcome measures (13) in adult social care settings in the previous 12 months. Standardised measures were used by half the sample in the previous 12 months. The Therapy Outcome Measure and Barthel Index were in most use. The breadth of adult social care practice and practical factors such as caseload and lack of a meaningful tool were found to be barriers to outcome measure use. Facilitators included service improvement, accountability, use of audit and professional occupational therapy leadership.

The overall use of outcome measures can be considered low in this setting, with manager support seen to be key to the use of outcome measures. Further research is needed to investigate nationwide use.

Training, time and manager support are key to use of standardised tests and outcome measures in the adult social care settings. The use of occupational performance measures should be considered to demonstrate unique professional impact.

This contemporary study reveals use of outcome measures within occupational therapy adult social care services in the UK, which is an under researched and under published area.

The purpose of this paper is to investigate whether and how knowledge hoarding, functions as antecedent and consequent of work related negative acts, as a measure of bullying. The authors investigate the relation as mediated by trust and justice.

Data stem from a longitudinal study in which questionnaire responses were collected twice from 1,650 employees in 52 workplaces. Structural equation modelling was used to analyse the two models. Design-based corrections were made to accommodate the multi-level structure of data.

The analyses showed that knowledge hoarding was both an antecedent and a consequent of negative acts. First, over time, knowledge hoarding was indirectly related to negative acts mediated by trust and justice. Second, negative acts were both directly and indirectly related to knowledge hoarding over time. The study thus points to the existence of a vicious circle of negative acts, psychological states of trust and justice, and knowledge hoarding behaviours, which presumably will affect both individual and organizational outcomes negatively.

The use of already collected, self-report data, single-item measures, and the two-year time lag could pose potential limitations to the study.

Preventive and repair actions could potentially impact both negative acts and knowledge hoarding by focusing on increasing the social exchange quality at work unit level.

This paper combines two strands of research, that of bullying at work and that of knowledge management, within which research on knowledge hoarding has been an under-researched area.

The improving global health (IGH) programme is a leadership development programme that aims to develop leadership skills and behaviours alongside quality improvement methodology in National Health Service (NHS) employees in a global health setting. Through collaboration, experiential learning and mentorship, the programme aims to produce both vertical and horizontal leadership development in its participants. This paper aims to describe the programme and its impact, in terms of leadership development, in a sample of participants.

Open coding and thematic analysis of leadership development summaries (LDS) completed by 39 returned IGH participants were conducted. LDS are written on completion of the overseas placement; participants reflect on their personal leadership development against the nine dimensions of the NHS Healthcare Leadership Model (2013).

These IGH programme participants have reported a change in the way they think, behave and see the world. A development in sense of self and experience in developing team members are the two most commonly reported themes. Adaptability, communication, overcoming boundaries, collaborative working, “big picture” thinking and strategic thinking were also identified.

The study is limited by the relatively low number of completed LDS. More work is needed to understand the long-term effect of this type of leadership development on the NHS. Other leadership development programmes should consider focussing on vertical and horizontal leadership development.

This more granular understanding of the leadership skills and behaviours developed and how it is the programme’s design that creates it, has not previously been described.