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Being a professional truck driver implies prolonged exposure to physical and psychosocial risks, which can affect health and work ability in the short and long term. The purpose of this paper is to examine the role of working conditions in truck drivers’ perceived health and retirement intentions in a Portuguese transportation company.

Using ergonomic work analysis (EWA), this study incorporates document analysis, observation and 16 interviews. Content analysis is applied to interviews’ transcripts.

In line with previous research, drivers acknowledged their activity as physically demanding (e.g. static postures, repetitive movements, heavy lifting) and psychologically demanding (e.g. high time pressure, lack of control, lack of work–family balance). Despite that, drivers report themselves to be in good health, with only some complaints related to back and knee pain. However, hard working conditions associated with ageing can contribute to gradual health deterioration, leading them to desire to retire before the legal retirement age.

The company can promote drivers’ health by creating a unit to provide psychosocial support and career orientation, improving the mentoring programme, and investing in training on occupational risk prevention.

This study is the first to use EWA to examine the impact of the complex relationship between truck drivers’ work and health in their retirement intentions, adopting a temporal perspective.

The aging of the population is changing the composition of the workforce in most developed countries. With increasingly older and age-diverse workforces, organizations need to redesign jobs to keep their workers healthy, happy and productive across the lifespan. In the current research, the authors integrate socioemotional selectivity theory and selection, optimization and compensation theory with job design to investigate how certain job characteristics influence the work engagement of older and younger workers.

In a two-wave survey with age-diverse employees from multiple organizations (N = 372), the authors explore how autonomy and feedback contribute to the engagement of older and younger workers, depending on levels of task variety.

In the case of older workers the relationships between autonomy and engagement, and feedback and engagement are positive when task variety is low but non-significant when task variety is high. Conversely, in the case of younger workers the relationships between autonomy and engagement, and feedback and engagement are positive when task variety is high but non-significant when task variety is low.

The research contributes to the growing body of knowledge on aging and work, particularly the lifespan perspective on job design. Nonetheless, the correlational design warrants caution about drawing causal inferences.

The findings inform managers on how to combine autonomy, feedback and task variety to design jobs that can engage the multi-age workforce.

The research is among the first to investigate the combined effects of different job characteristics on age-diverse employees' engagement at work.

This research aims to understand the learning with regard to didactic knowledge of an early childhood teacher who participated in a Lesson Study (LS) on the topic of patterns, as well as her perspective about LS as a teacher education process.

This is a qualitative case study of an early childhood teacher who participated in a LS alongside three other colleagues and a facilitator. Data collection was made by participant observation with elaboration of a research journal, audio recording of sessions and a collective interview. Data analysis was made by content analysis based on the conceptual framework.

This case study shows that early childhood teachers may become aware of the importance of working with their children mathematical ideas. It also shows that they may develop their didactic knowledge in several dimensions such as school mathematics, curriculum, children and their learning, and teaching practice and that they may appreciate LS as a means of professional development.

This study shows the potential of LS for the professional development of early childhood teachers, a scarcely researched area. It also shows that their learning may include dimensions related to specific curricular areas such as mathematics.

The purpose of this paper is to shed light on the state-of-the-art about sustainable tourism. Despite the significant growth of publications exploring sustainable tourism, the debate on the relationship between tourism and sustainability remains open. In addition, the sector faces the challenge of the 2030 Agenda, as the authors have not yet managed to curb environmental degradation and social disparities. This research needs to be comprehensively addressed to inform future steps and to identify sustainable tourism practices that will advance the goals of this action plan.

This study applies a mixed methodology, using a bibliometric analysis performed by VOSviewer and SciMat software of 311 articles from the Web of Science. In addition, it includes an in-depth analysis of trending research topics in the field during 2019 and 2020.

After 20 years of research on sustainable tourism, there is still significant dispersion of studied topics, frameworks and applications. The results show the evolution of research towards the study and measurement of sustainable change, social and cultural aspects and the development of responsible governance models.

New stakeholder relationships models require a methodological and technological framework. Further progress in sustainable tourism guided by the 2030 Agenda demands the establishment of worldwide recognised measurement indicators and policy frameworks.

With a mixed methodological approach and a special focus on the sustainable development goals (SDGs), this paper provides a “state-of-the-art” update to sustainability research in tourism. The results obtained have been associated with their contribution to achieving SDGs.

尽管探索可持续旅游业的出版物大幅增长, 但关于旅游业和可持续性之间关系的辩论仍然没有结束。此外, 该部门还面临着2030年议程的挑战, 因为我们还没有设法遏制环境退化和社会差异。这项研究需要全面解决, 以便为未来的步骤提供信息, 并确定可持续旅游的做法, 以推进本行动计划的目标。

本研究采用混合方法, 通过VOSviewer和SciMat软件对来自科学网的311篇文章进行文献计量分析。此外, 它还包括对2019年和2020年期间该领域的趋势性研究课题的深入分析。

经过20年的可持续旅游研究, 所研究的课题框架和应用仍然存在很大的分散性。我们的结果显示, 研究朝着研究和测量可持续变化、社会和文化方面以及发展负责任的治理模式的方向发展。

新的利益相关者关系模型需要一个方法学和技术框架。在2030年议程的指导下, 可持续旅游业的进一步发展需要建立世界公认的测量指标和政策框架。

通过混合方法和对可持续发展目标（SDGs）的特别关注, 本文为旅游业的可持续性研究提供了 “最先进 “的更新。获得的结果与他们对实现可持续发展目标的贡献有关。

A pesar del importante crecimiento de las publicaciones que exploran el turismo sostenible, el debate sobre la relación entre turismo y sostenibilidad sigue abierto. Además, el sector se enfrenta al reto de la Agenda 2030, ya que aún no se ha conseguido frenar la degradación medioambiental y las disparidades sociales. Esta investigación debe abordarse de forma exhaustiva para informar de los pasos futuros e identificar las prácticas de turismo sostenible que harán avanzar los objetivos de este plan de acción.

Este estudio aplica una metodología mixta, utilizando un análisis bibliométrico realizado por el software VOSviewer y SciMat con 311 artículos de la Web of Science. Además, incluye un análisis en profundidad de los temas de investigación de tendencia en el campo durante 2019 y 2020.

Después de 20 años de investigación sobre el turismo sostenible, sigue habiendo una importante dispersión de los marcos temáticos estudiados y de las aplicaciones. Nuestros resultados muestran la evolución de la investigación hacia el estudio y la medición del cambio sostenible, los aspectos sociales y culturales y el desarrollo de modelos de gobernanza responsable.

Los nuevos modelos de relaciones con los grupos de interés requieren un marco metodológico y tecnológico. Los nuevos avances en el turismo sostenible guiados por la Agenda 2030 exigen el establecimiento de indicadores de medición y marcos políticos reconocidos a nivel mundial.

Con un enfoque metodológico mixto centrado especialmente en los Objetivos de Desarrollo Sostenible (ODS), este trabajo proporciona una actualización del “estado del arte” a la investigación de la sostenibilidad en el turismo. Los resultados obtenidos se han asociado con la consecución de los ODS.

This study aims to explore patterns of Emergency Medical Services (EMS) personnel's mental health, regarding their levels of anxiety, depression, stress, COVID-19 anxiety, obsessive-compulsive symptoms and well-being; and to explore variables that contribute to these patterns, among sociodemographic/professional and COVID-19 experience variables.

Participants were 214 EMS personnel, who answered the Patient-Health Questionnaire, Perceived Stress Scale, COVID-19 Anxiety Scale, Obsessive-Compulsive Inventory, Well-Being Questionnaire and COVID-19 related questions.

EMS personnel showed an adequate psychological adjustment during COVID-19. Two clusters/patterns were found: the poorly (34%) and the well (66%) psychologically-adjusted. Personnel's age, COVID-19 fear and workplace security measures' adequacy contributed to which pattern they were more likely to belong to.

Despite being cross-sectional and not controlling for pre-COVID-19 data, this study adds to the COVID-19 literature. Findings call for the need to explore: other COVID-19 fears; how personnel perceive workplace security measures; COVID-19 valid instruments; pre-COVID-19 data; and mental health patterns with different rescuers.

Findings explored EMS personnel's patterns of mental health during the COVID-19, as well as its covariates. Results allow to better prepare emergency management, which can develop prevention strategies focused on older professionals, COVID-19 related fears and how personnel assess security measures.

This study contributes to the scarce literature focused on COVID-19 mental health patterns instead of focussing on isolated mental health variables, as well as what contributes to these patterns. Moreover, it is one of the few studies that focused on EMS personnel rather than hospital staff.

The purpose of this paper is to study the linkage of innovation and entrepreneurship to economic growth in countries with different levels of development.

Following quantitative analysis, the authors carry out three empirical approaches to examine the effects of innovation and entrepreneurship on competitiveness. In accordance with their initial study framework, they test the conceptual model of competitiveness through applying descriptive statistics, structural equation modelling (SEM) and hierarchical cluster analysis. Descriptive statistics and SEM data sources from the Global Competitiveness Report of the World Economic Forum were analysed for 148 countries. The hierarchical cluster analysis furthermore analysed Global Entrepreneurship Monitor data on 67 different countries.

The study confirmed that innovation and sophistication factors are crucial to the competitiveness of economies. The study also revealed the definition of five clusters relative to the competitive performance of advanced economies following the introduction of new entrepreneurship variables.

This research aims to open up avenues for the development of regional competitiveness studies.

The importance of container transportation has increased due to the globalization of the world economy. The purpose of this research is at proposing a framework to enhance the container terminals performance through evaluating efficiency and competitiveness.

The researchers used data envelopment analysis to assess the efficiency and fuzzy analytic hierarchy process to measure competitiveness of container terminals. The proposed framework captures key performance indicators to evaluate the container terminals' performance and identify areas that need improvement. It was applied to the Egyptian container terminals from the period of 2015–2019 as an empirical study.

Findings highlights the highest utilization of resources of Alexandria port while more attention should be given to the level of service provided. On the other hand, El-Sokhna should focus on more utilization of the available resources. The performance evaluation showed that the rest of Egyptian terminal ports should improve both competitiveness and efficiency at different levels based on their performance ranking.

The developed framework can be used as an evaluation tool to evaluate the performance of container terminals in other countries, and can be utilized as a performance benchmark tool to compare the performance of container terminals of competing ports.

The developed framework can help policymakers to assess efficiency and competitiveness based on both quantitative data and experts' judgement in order to help in formulating government logistics strategy.

The research provides a comprehensive framework to measure and evaluate competitiveness and efficiency of container terminals based on both quantitative data and experts' judgement.

The objective of this research is to have an up-to-date and comprehensive assessment of the current knowledge regarding the variables that encourage the individuals, within the academic community, to get involved in knowledge exploitation activities. It is influenced by the observation that there is a need for more systematic scrutiny of micro-level processes to deepen our understanding of academic entrepreneurship (Balven et al., 2018; Wright and Phan, 2018). The study proposes to answer to ‘What are the drivers of academic entrepreneurial intentions?’ and ‘What are the emerging topics for future research?’

The paper follows a Systematic Literature Review process (Tranfield et al., 2003) and adopts a four-step process format from previous literature reviews within the entrepreneurship context (Miller et al., 2018). From the results within Scopus and Web of Science databases, this research selected, evaluated, summarised and synthesised 66 relevant papers.

This study provides a factor-listed representation of the individual, organisational and institutional variables that should be considered in the strategies defined by the university. Moreover, the study concludes that the push factors behind the intentions are multiple, context-dependent, hierarchy-dependent, heterogeneous and, at the same time, dependent on each other and against each other. Lastly, the study contributes to academic entrepreneurship literature, especially entrepreneurial intention literature, which has recently received more researchers' attention.

The study corroborates that the individual factors, directly and indirectly via Theory of Planned Behaviour, strongly impact the academics' intentions. While the focus of the papers under review was an in-depth analysis of a selected group of factors, this SLR sought to compile the factors that were identified and provide a broader picture of all those factors to be considered by the university management. It contributes to the identification and clustering of the drivers that encourage academics to engage in knowledge valorisation activities, differentiating them by activity. For the practitioners, this list can be used by university managers, TTOs and department managers, and policymakers to guide questionnaires or interviews to analyse their academics' intentions and adequately support its academic engagement strategy. Lastly, this study also suggests worthwhile avenues for future research.

The purpose of this study is simulation of of polymer electrolyte membrane fuel cell. Proton-exchange membrane fuel cells are promising power sources for use in power plants and vehicles. These fuel cells provide a high level of energy efficiency at low temperature without any pollution. The convection inside the cell plays a key role in the electrochemical reactions and the performance of the cell. Accordingly, the transport processes in these cells have been investigated thoroughly in previous studies that also carried out functional modeling.

A multi-phase model was used to study the limitations of the reactions and their impact on the performance of the cell. The governing equations (conservation of mass, momentum and particle transport) were solved by computational fluid dynamics (CFD) (ANSYS fluent) using appropriate source terms. The two-phase flow in the fuel cell was simulated three-dimensionally under steady-state conditions. The flow of water inside the cell was also simulated at high-current density.

The simulation results suggested that the porosity of the gas diffusion layer (GDL) is one of the most important design parameters with a significant impact on the current density limitation and, consequently, on the cell performance.

This study was mainly focused on the two-phase analysis of the steady flow in the fuel cell and on investigating the impacts of a two-phase flow on the performance of the cell and also on the flow in the GDL, the membrane and the catalyst layer using the CFD.