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While there is increasing interest in implementing drug checking within overdose prevention, we must also consider how to scale-up these responses so that they have significant reach and impact for people navigating the unpredictable and increasingly complex drug supplies linked to overdose. The purpose of this paper is to present a distributed model of community drug checking that addresses multiple barriers to increasing the reach of drug checking as a response to the illicit drug overdose crisis.

A detailed description of the key components of a distributed model of community drug checking is provided. This includes an integrated software platform that links a multi-instrument, multi-site service design with online service options, a foundational database that provides storage and reporting functions and a community of practice to facilitate engagement and capacity building.

The distributed model diminishes the need for technicians at multiple sites while still providing point-of-care results with local harm reduction engagement and access to confirmatory testing online and in localized reporting. It also reduces the need for training in the technical components of drug checking (e.g. interpreting spectra) for harm reduction workers. Moreover, its real-time reporting capability keeps communities informed about the crisis. Sites are additionally supported by a community of practice.

This paper presents innovations in drug checking technologies and service design that attempt to overcome current financial and technical barriers towards scaling-up services to a more equitable and impactful level and effectively linking multiple urban and rural communities to report concentration levels for substances most linked to overdose.

This paper aims to offer an empirical study of the impact of institutional quality on the banking system risk and credit risk.

Applying cross-sectional dependent tests and stationary tests to check the property of our sample, the panel corrected standard errors model is recruited as the main estimator, while feasible generalized least squares, pool ordinary least squares (OLS), robust pool OLS and other estimators are used as a robustness check for an unbalanced panel data for 56 economies divided into three subsamples between 2002 and 2015.

The empirical results show several significant contributions. First, an improvement in institutional quality is an important factor to reduce the banking system risk. This effect of the institutions is less important in well-capitalized, highly profitable and in high-economic growth countries. This effect is also stronger in highly liquid banking systems. Notably, a better institutional quality helps to reduce the banking system risk in the highly concentrated banking system. Second, institutional quality has a significant negative relationship with the banking credit risk, especially in highly concentrated banking systems and in high-growth countries. This influence is weaker in highly liquid and well-capitalized banking systems. Finally, better institutions reduce the positive effect of trade openness, but it induces a higher credit risk for the banking system from the trade openness. Notably, a better institutional quality enhances the negative effect of foreign direct investment (FDI) inflow on both banking system risk and credit risk. These findings are documented for a global sample and three subsamples: low and lower-middle-income economies, upper-middle-income economies and high-income economies.

This study provides some recommendations, for policymakers, on the roles of institutions in the banking system and financial stability.

The purpose of this systematic review is to highlight some of the business model changes restaurants, bars and beverage producers undertook to modify their operations in order to not only stay in business but also to better serve their employees and communities during the COVID-19 crisis.

An analysis was conducted on 200 industry articles and categorized into three major themes: expansion of take-out/delivery, innovative practices, and community outreach/corporate support, each are further subdivided into additional themes. The systematic review is further supported by personal interviews with industry professionals.

This research finds that there were many different approaches used in adjusting business models in response to the dining restrictions put in place due to COVID-19. From these approaches, themes were developed which resulted in uncovering some suggestions such as developing contingency plans, being flexible and creative, eliminating menu items, investing in a communication platform and getting involved with local government. In addition, some practices operators should be mindful of such as selling gift cards and starting a crowdfund.

This research provides a systematic analysis of business model changes that occurred due to COVID-19 dining restrictions. Researchers can use this information as a guide for further analysis on a specific theme introduced herein.

This research offers several practical implications which will assist the industry should another similar event occur in the future. The systematic analysis describes and documents some suggestions as well as practices to be mindful of in preparing contingency plans for the future.

This research documents an unprecedented time for the hospitality industry by examining how restaurant, bar and beverage producers around the country responded to COVID-19 restrictions. Distilling the multitude of information into succinct themes that highlight the business model changes that occurred will aid future research as well as operators.

Soil quality is in decline in many parts of the world, in part due to the intensification of agricultural practices. Whilst economic instruments and regulations can help incentivise uptake of more sustainable soil management practices, they rarely motivate long-term behavior change when used alone. There has been increasing attention towards the complex social factors that affect uptake of sustainable soil management practices. To understand why some communities try these practices whilst others do not, we undertook a narrative review to understand how social capital influences adoption in developed nations. We found that the four components of social capital – trust, norms, connectedness and power – can all influence the decision of farmers to change their soil management. Specifically, information flows more effectively across trusted, diverse networks where social norms exist to encourage innovation. Uptake is more limited in homogenous, close-knit farming communities that do not have many links with non-farmers and where there is a strong social norm to adhere to the status quo. Power can enhance or inhibit uptake depending on its characteristics. Future research, policy and practice should consider whether a lack of social capital could hinder uptake of new practices and, if so, which aspects of social capital could be developed to increase adoption of sustainable soil management practices. Enabling diverse, collaborative groups (including farmers, advisers and government officials) to work constructively together could help build social capital, where they can co-define, -develop and -enact measures to sustainably manage soils.

The purpose of this paper is to study teachers’ perspectives of social and emotional learning (SEL) in Aotearoa New Zealand (NZ) primary schools.

This research was a case study design investigating the phenomenon of SEL in primary schools (elementary school level) in Aotearoa NZ (Stake, 2005).

The SEL themes that were drawn from the data were: positive interdependence, empowerment, self-management, self-awareness restorative conversations and circle time.

The research challenges the field to work with teachers and community workers to create more in-depth qualitative research knowledge that is contextually relevant to SEL for researchers, educational policymakers and our children.

Based in Aotearoa NZ primary schools, this qualitative research provides a unique perspective of SEL from school-based practicing teachers.

This chapter analyses the Norwegian Twitter-sphere during and in the aftermath of the terrorist attack in Norway on 22 July 2011. Based on a collection of 2.2 million tweets representing the Twitter-sphere during the period 20 July–28 August 2011, the chapter seeks answers to how the micro-blogging services aided in creating situation awareness (SA) related to the emergency event, what role hashtags played in that process and who the dominant crisis communicators were. The chapter is framed by theories and previous research on SA and social media use in the context of emergency events. The findings reveal that Twitter was important in establishing SA both during and in the aftermath of the terrorist attack, that hashtags were of limited value in this process during the critical phase, and that unexpected actors became key communicators.

This study proposes and validates an integrated theoretical model involving the theory of planned behavior (TPB), health belief model (HBM), personal norms and information privacy to understand determinants of acceptance and resistance to the use of mobile contact tracing app (MCTA) in a pandemic situation.

This study draws on online surveys of 194 research respondents and uses partial least squares structural equation modeling (PL-SEM) to test the proposed theoretical model.

The study establishes that a positive attitude towards MCTA is the most important predictor of individuals' willingness to use MCTA and resistance to use MCTA. Furthermore, barriers to taking action positively influence resistance to the use of MCTA. Personal norms negatively influence resistance to the use of MCTA. Information privacy showed a negative and positive influence on willingness to use MCTA and use the resistance of MCTA, respectively, but neither was statistically significant. The authors found no significant influence of perceived vulnerability, severity, subjective norms and perceived behavioral control on either acceptance or use resistance of MCTA.

The study has been one of the first in the literature to propose an integrated theoretical model in the investigation of the determinants of acceptance and resistance to the use of MCTA in a single study, thereby increasing the scientific understanding of the factors that can facilitate or inhibit individuals from engaging in the use of a protection technology during a pandemic situation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2021-0533

This study explores whether expatriation type (assigned expatriates (AEs) versus self-initiated expatriates (SIEs)) is linked to job exhaustion via possible differences in required efforts for their jobs and the rewards they gain from them, and/or the balance between efforts and rewards. Adopting effort–reward imbalance (ERI) and job demands/resources (JD-R) theories, the authors study the possible role of ERI as a mediator between expatriation type and job exhaustion.

An online survey was carried out in co-operation with two Finnish trade unions, providing representative data from 484 assigned and SIEs. The authors test this study’s hypotheses through latent structural equation modelling, and the analysis was conducted with Stata 17.0 software.

The results show that ERI between them are correlated with the job exhaustion of expatriates in general and there are no direct links between expatriation type and job exhaustion. The required effort from AEs was higher than that from SIEs though no difference was found for rewards, and the match between effort demands and rewards is less favourable for AEs than SIEs. AEs experienced higher job exhaustion than SIEs because of the higher effort demands and greater imbalance between efforts and rewards.

The study examines the work well-being of two types of expatriates and explores the underlying mechanisms that may explain why they may differ from each other.