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Maintaining a healthy and productive workforce is a challenge for most organizations. This is even truer for health organization, facing staff shortages and work overload. The aim of this study is to identify the resources and constraints that influence managers' mental health and better understand how they are affected by them.

A qualitative approach was chosen to document the resources, the constraints as well as their consequences on managers in their day-to-day realities. The sample included executive-, intermediate- and first-level managers from a Canadian healthcare facility. A total of 62 semi-structured interviews were conducted. The coding process was based on the IGLOO model of Nielsen et al. (2018) to which an employee-related level was added (IGELOO).

Results highlight the importance of considering both resources as well as constraints in examining managers' mental health. Overarching context, organizational constraints and the management of difficult employees played important roles in the stress experienced by managers.

The results offer a better understanding of the importance of intervening at different levels to promote better organizational health. Results also highlight the importance of setting up organizational resources and act on the various constraints to reduce them. Different individual strategies used by managers to deal with the various constraints and maintain their mental health also emerge from those results.

In addition to addressing the reality of healthcare managers, this study supplements a theoretical model and suggests avenues for interventions promoting more sustainable organizational health.

This chapter focusses on the research methodology of the completed project, drawing on what Martin (2008) described as ‘Indigenist’ research traditions or practices. The project drew upon tenets of critical race theory which developed over the life of a university teaching and learning project to support the praxis of Aboriginal and Torres Strait Islander, or Indigenous,1 pre-service teachers on their final internships prior to graduating.

The broader project was conceptualised and framed within our prioritisation of Indigenist standpoint and critical race theory. Our project was designed to amplify the perspectives and voices of Indigenous students in situations where White, hegemonic relations appeared to constrain their potential achievement on practicum in socially unjust and often racist ways. Research into the achievement and success of Indigenous education graduates in Australia is dominated by non-Indigenous reporting, framed in deficit language of Indigenous ‘underachievement’, ‘barriers’, ‘lack’, and ‘disengagement’, rather than from their experience of injustice in their professional preparation as teachers.

The research design troubled how researchers like us ‘come to know’ Indigenous achievement in the higher education sector through the pre-service teachers’ words, impelling us to listen to stories of discrimination, rather than to official accounts of how they ‘failed’ to measure up to teacher standards. The attention to detail in the multi-site, micro-level practices in teacher education and the ways these unfold in situ for Indigenous students would not be possible without the Indigenist research methodology developed in partnership with Indigenous research colleagues and student co-researchers.

This chapter then serves to remind educational researchers that research is a practice and has practice architectures with particular hegemonic arrangements which have not transpired to serve the interests of Indigenous peoples. Honouring Indigenist standpoint and employing critical race theory in research design thus means paying particular and careful attention to the work that research practices do, on, to, and with communities, not normative (colonial) crafting of the praxis research problem.

This paper reports the results of research that examines the interrelationships between efficacy of sustainability values (SV) and pro-sustainable behaviors of potential tourists. A partially mediated model is postulated and tested to help explain additional error variance in predicting consumers’ destination choice decisions in tourism, hence voiding a critical research gap. Coined as the “environmentally intellectualist behavior,” a new mediator variable is tested to explain additional error variance in human-value models.

The study is based on data collected from two representative samples of potential tourists from the USA and Canada. Data analyses include exploratory and confirmatory factor analyses that were used to examine the underlying domain structures of SV, followed by a predictive model using structural equation modeling.

The study findings suggest that values are salient factors that underlie pro-sustainable tourism and travel behavior. Moreover, the results confirm the existence of a higher-order sustainability construct. The study contributes original insights to the field by demonstrating that there are direct and indirect positive relationships between SV, environmental behaviors and decisions of consumers who take a pro-sustainable stance when traveling.

By modeling values as antecedents to attitudes and testing interrelationships between SV and the mediator variables coined as the environmentally intellectual behavior, the authors developed and tested a predictive model to explain destination- and product choice decisions. The model tested herein advances the value theory in two fundamental ways: first, this study demonstrates that SV can be modeled as higher-order factors. Second, values are antecedents to attitude and other variables, therefore must be included in consumer behavior models. Finally, the culture or origin of tourists matters when examining the impact of values on tourists’ choice decisions. Political actions and environmental attitudes can be modeled as mediators to explain additional error variance.

This study aims to undertake a review of how carbon trading contributes to a reduction in emission of greenhouse gases (CHGs).

A narrative literature review approach was adopted to identify and synthesise existing literature using the Scopus and Web of Science databases. Articles were limited to the past 10 years to obtain the most current literature. The various ways in which carbon trading leads to reductions in emissions were identified and discussed.

The results showed that the main ways in which carbon trading contributes to reductions in emissions are through innovation in low-carbon technologies, restoration of ecosystems through offset money, development of renewable and clean energy and providing information on investment related to emissions.

The value of this study is to contribute to the built environment’s climate change mitigation agenda by identifying the role of carbon trading.

The output of this research identifies and contextualises the role carbon trading plays in the reduction of CHG emissions.

The authors propose to estimate a varying coefficient panel data model with different smoothing variables and fixed effects using a two-step approach. The pilot step estimates the varying coefficients by a series method. We then use the pilot estimates to perform a one-step backfitting through local linear kernel smoothing, which is shown to be oracle efficient in the sense of being asymptotically equivalent to the estimate knowing the other components of the varying coefficients. In both steps, the authors remove the fixed effects through properly constructed weights. The authors obtain the asymptotic properties of both the pilot and efficient estimators. The Monte Carlo simulations show that the proposed estimator performs well. The authors illustrate their applicability by estimating a varying coefficient production frontier using a panel data, without assuming distributions of the efficiency and error terms.

Left atrial appendage occlusion (LAAO) is a structural interventional cardiology procedure that offers several possibilities for the application of additive manufacturing technologies. The literature shows a growing interest in the use of 3D-printed models for LAAO procedure planning and occlusion device choice. This study aims to describe a full workflow to create a 3D-printed LAA model for LAAO procedure planning.

The workflow starts with the patient’s computed tomography diagnostic image selection. Segmentation in a commercial software provides initial geometrical models in standard tessellation language (STL) format that are then preprocessed for print in dedicated software. Models are printed using a commercial stereolithography machine and postprocessing is performed.

Models produced with the described workflow have been used at the Careggi Hospital of Florence as LAAO auxiliary planning tool in 10 cases of interest, demonstrating a good correlation with state-of-the-art software for device selection and improving the surgeon’s understanding of patient anatomy and device positioning.

3D-printed models for the LAAO planning are already described in the literature. The novelty of the article lies in the detailed description of a robust workflow for the creation of these models. The robustness of the method is demonstrated by the coherent results obtained for the 10 different cases studied.

The “what is beautiful is good” (WIBIG) effect implies that observers tend to perceive physically attractive people in a positive light. The authors investigate how the WIBIG effect applies to user personas, measuring designers' perceptions and task performance when employing user personas for the design of information technology (IT) solutions.

In a user experiment, the authors tested six different personas with 235 participants that were asked to develop remote work solutions based on their interaction with a fictitious user persona.

The findings showed that a user persona's perceived attractiveness was positively correlated with other perceptions of the persona. The personas' completeness, credibility, empathy, likability and usefulness increased with attractiveness. More attractive personas were also perceived as more agreeable, emotionally stable, extraverted and open, and the participants spent more time engaging with personas they perceived attractive. A linguistic analysis indicated that the IT solutions created for more attractive user personas demonstrated a higher degree of affect, but for the most part, task outputs did not vary by the personas' perceived attractiveness.

The WIBIG effect applies when designing IT solutions with user personas, but its effect on task outputs appears limited. The perceived attractiveness of a user persona can impact how designers interact with and engage with the persona, which can influence the quality or the type of the IT solutions created based on the persona. Also, the findings point to the need to incorporate hedonic qualities into the persona creation process. For example, there may be contexts where it is helpful that the personas be attractive; there may be contexts where the attractiveness of the personas is unimportant or even a distraction.

The findings point to the need to incorporate hedonic qualities into the persona creation process. For example, there may be contexts where it is helpful that the personas be attractive; there may be contexts where the attractiveness of the personas is unimportant or even a distraction.

Because personas are created to closely resemble real people, the authors might expect the WIBIG effect to apply. The WIBIG effect might lead decision makers to favor more attractive personas when designing IT solutions. However, despite its potential relevance for decision making with personas, as far as the authors know, no prior study has investigated whether the WIBIG effect extends to the context of personas. Overall, it is important to understand how human factors apply to IT system design with personas, so that the personas can be created to minimize potentially detrimental effects as much as possible.

This article reconstructs the conditions under which displaced persons are integrated into their workplaces with their hosts. It identifies the characteristics of this pathway and provides guidance on the support that should be provided to these people. This support is part of social responsibility. Theories on professional integration/labour market integration (LMI) have been categorised and then arranged in a logical order to determine the stages of this integration. Theories on professional integration support for refugees were also reviewed and examined in relation to this categorisation. Six stages characterise professional integration: getting a job, its sustainability and its wage adequacy, its security and sustainability, career continuity and employability, the fact of being a full and equal participant and being an integrated part of the workforce and the meaningfulness of that job. The level of professional integration marks the quality of this integration. Each level encompasses the previous levels. Displaced persons should be supported throughout their careers to go beyond technical and behavioural skills and take a more holistic view of their tasks to find meaning in their work. While most research focuses on getting a job as a characteristic of occupational integration, this study found five other characteristics that were ordered. It also links vocational integration with social responsibility and provides guidance on how to help displaced people reach the final stage of this integration.

Prior research on relations between mental health and pain has focused on negative mental health aspects (e.g. depression), while the literature is scarce in terms of positive aspects, such as mental well-being. This study aims to investigate prospective associations of mental well-being at baseline with pain and functional impairment due to pain in the following year.

Data stem from a Danish nationally representative survey of 5,000 adults (aged 15+) conducted in 2019 and 2020, which was linked to register data. The Short Warwick–Edinburgh Mental Well-being Scale was used to assess mental well-being, both continuously (range 7–35) and categorically (low, moderate, high). Logistic regressions were conducted to assess associations between mental well-being in 2019 and pain and functional impairment due to pain (among those reporting any pain) in 2020.

In the fully adjusted models, each point increase in mental well-being was inversely associated with pain (OR = 0.97, 95%CI 0.95–0.99) and functional impairment due to pain (OR = 0.96, 95%CI 0.94–0.99). As compared to low mental well-being, moderate mental well-being was associated with an OR of 0.76 (95%CI 0.58–0.99) for pain and an OR of 0.63 (95%CI 0.46–0.87) of functional impairment due to pain, while high mental well-being was associated with an OR of 0.56 (95%CI 0.40–0.77) for pain and an OR of 0.53 (95%CI 0.34–0.79) for functional impairment due to pain.

Higher mental well-being levels may be protective against pain and functional impairment due to pain. Wider mental health promotion may be considered to prevent pain and associated functional impairments in the general population.

Usage of learning management systems (LMSs) has become widespread with the disruption of face-to-face educations after the COVID-19 pandemic. There are several software products, usually named as LMS to enable and support distance education. However, selection of a suitable LMS is a complex multiple criteria decision making (MCDM) problem that requires consideration of many criteria and inputs from different parties like students, academicians, education managers, etc. Usability evaluation of LMS is one of the critical steps in deciding which LMS system to be adapted. There are several studies related to usability evaluation of LMS in the literature, but utilization of MCDM methods and real life case studies are very rare. Based on this motivation, perceived usability evaluation of SAKAI-LMS that is in use at an academic department is performed by employing axiomatic design procedure (ADP). This paper aims to discuss the aforementioned issues.

ADP is considered as a suitable MCDM method for perceived usability evaluation as it allows an easy approach to data fusion and setting performance targets for decision makers. A questionnaire is developed to collect data from three types of system users about predetermined usability criteria and their importance. After detailed statistical analyses and weighting criteria via analytical hierarch process (AHP), ADP is carried out to evaluate usability of the LMS.

It is found that the proposed ADP based approach is easy to apply in practical circumstances and able to quantify perceived usability of the LMSs.

The proposed approach provides an easy and practical evaluation of perceived usability of the LMSs for decision makers who are responsible for the implementation of LMSs. The developed novel and practical MCDM-based perceived usability approach for LMS in this study has been verified through a real life case study at an academic department. Perceived usability results, therefore, reflects only the views of this focus group and are not generalizable.

First time in the literature, a comprehensive ADP based MCDM approach is proposed based on the analyses of the related literature and information gathered from the system users.