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Recently, the tourism and hospitality industry has been increasingly hit by serious crises. In particular, the implications of the COVID-19 pandemic and phenomena such as a shortage of skilled workers and overtourism are presenting numerous destinations and their key stakeholders with new, increasingly complex challenges. In addition, the continued development of meta-processes such as demographic change and digitalisation in many respects implies an ‘end of tourism as we know it’ (Destinationthink.com, 2017). In order to successfully face these complex challenges, it is necessary – as with most wicked problems – to think and act ‘outside the box’. An increasing individualisation and pluralisation of lifestyles is taking place in most societies and represents another challenge that should not be underestimated. This implies that diversity and diversity management are becoming ever more important strategic success factors, both for human resource management and for the development of new markets and target groups. Unfortunately, however, far too few players in the tourism and hospitality sector value diversity management as part of their corporate strategy. This chapter therefore aims to raise awareness of diversity and diversity management as a concept that has become increasingly important in recent years but still only occupies a niche in tourism-specific contexts. The intensified strategic valorisation of diversity can actually sustainably increase the competitiveness of destinations and their key actors. Against this backdrop, this contribution explores conceptual understandings of diversity and diversity management from a theoretical perspective and uses specific case studies to illustrate how the corresponding management approach can be successfully valorised in tourist destinations.

This chapter explores genderwashing in the context of exclusive talent management (ETM) and defensive diversity management (DDM). It makes the counter intuitive argument that ETM is a misnomer in that it privileges maintenance of an organizational hierarchy based on social identity over the development of talent. Further, DDM is a genderwashing tool, enabling organizations to fend off criticism through symbolic diversity, equity, and inclusion (DEI) initiatives while enacting discourses that legitimate structures, practices, and norms that produce a status hierarchy based on social identities. A genderwashing perspective reveals this contradiction and spotlights the uncomfortable reality of workplace inequalities. It also shows that operating within boundaries set by the status quo renders DDM ineffective in removing the real career impediments faced by women and members of minoritized groups (MMG). A transformative diversity management (TDM) approach is needed to confront these realities and enable organizations to support the career aspirations of women and MMG.

This paper explores sustainability within supply chain management and its link towards resilience through the lens of ethics. The wicked problem of sustainability impacts supply chains and society at large, and the ability of supply chains to remain viable in the future is based on the sustainability of business practices. The paper argues that a substantive proportion of sustainability mechanisms (such as the Triple Bottom Line approach and codes of conducts) can be viewed within the ethical paradigm of deontology, whereby the morality of an action is based on adherence to rules. However, there are numerous critiques of such approaches and their success in creating more sustainable practices. Therefore, the paper proposes there is a need for systems thinking approaches to be incorporated into the exploration of the link between ethics, sustainability and supply chain resilience. Using two examples of social sustainability issues in Australia – modern slavery legislation and horticultural ¹ worker exploitation – the paper demonstrates the utility of various systems thinking methodologies to explore the complexity of these issues. The paper sets out a conceptual call to arms for researchers and practitioners to apply a holistic lens towards how the morality of actions is shaped and influences supply chain sustainability practices.

Human resource analytics (HRA) has developed as a new business trend and challenge, stressing the strategic relevance of human resource management (HRM) to senior management executives. HRA is a process that uses statistical techniques, to link HR practices to organizational performance. The purpose of this study is to carry out recent development in HRA, bibliometric analysis and content analysis to present a comprehensive account of HRA to fill the gap in the evolution and status of its research.

The study is based on the recent advances in HRA in terms of it evolution and advancement by analyzing and drawing conclusions 480 articles retrieved from the Web of Science (WoS) database from 2003 to March 2022. The methodology is divided into four steps: data collection, analysis, visualization and interpretation. The study performed a rigorous bibliometric assessment of HRA using the bibliometric R-package and VOS viewer.

The findings based on the literature survey, and bibliometric analysis, reveal the path-breaking articles, the prominent authors, most contributing institutions and countries that have contributed to the HRA scholarship. The results show that the number of publications has significantly increased from 2015 onwards, reaching a maximum of 101 journals in 2021. The USA, China, India, Canada and the United Kingdom were the most productive countries in terms of the total number of publications. Human Resource Management Journal, Human Resource Management, International Journal of Manpower, and Journal of Organizational Effectiveness-People and Performance are the top four academic outlets in the field of HRA. Additionally, the study identifies four clusters of HRA research and the knowledge gaps in HRA scholarship.

The present study is based on the articles retrieved from the WoS. The study underpins HRA research to understand the trends and presents a structured account. However, the study is not free from limitations. It is recommended that future research could be undertaken by combining WoS and Scopus databases to have a more detailed and comprehensive view. This study indicates that the field is still in its infancy stage. Hence, there is a need for more arduous research on the topic to help develop a better understanding of this field.

The findings of knowledge clusters will drive future researchers to augment the field. The evolution of the four clusters and their subsequent development will fill the gaps in the literature. This study enriches the HRA literature and the findings of this study may assist academicians, researchers and managers in furthering their research in the identified research clusters

This paper aims to describe a modelling and solving methodology of a (static converter–electric motor–control) system for its sizing by optimization, considering the dynamic thermal heating of the machine.

The electrical drive sizing model is composed of two simulators (electrical and thermal) that are co-simulated with a master−slave relationship for the time step management. The computation is stopped according to simulation criteria.

This paper details a methodology to represent and size an electrical drive using a multiphysics and multidynamics approach. The thermal simulator is the master and calls the electrical system simulator at a fixed exchange time step. The two simulators use a dedicated dynamic time solver with adaptive time step and event management. The simulation automatically stops on pre-established criteria, avoiding useless simulations.

This paper aims to present a generic methodology for the sizing by optimization of electrical drives with a multiphysics approach, so the precision and computation time highly depend on the modelling method of each components. A genetic multiobjective optimization algorithm is used.

The methodology can be applied to size electrical drives operating in a thermally limited zone. The power electronics converter and electrical machine can be easily adapted by modifying their sub-model, without impacting the global model and simulation principle.

The approach enables to compute a maximum operating duration before reaching thermal limits and to use it as an optimization constraint. These system considerations allow to over constrain the electrical machine, enabling to size a smaller machine while guaranteeing the same output performances.

Consumption norms describe an individual’s perception of what or how much most other people typically eat. While gendered consumption norms are well known, consumption norms linked to other demographic variables are yet to be reported. This study aimed to investigate which food consumption norms in relation to gender, age and income are currently held by the UK population. A secondary research objective was to investigate whether these consumption norms were held equally across people in different age groups and genders within the sample population.

A sample of 498 adults participated in an online survey composed of statements on consumption patterns based on gender, age and income for nine foods (e.g. red meat) and five meal patterns (e.g. take-away meals). E.g. “Men tend to eat more red meat than women.” Participants reported their agreement/disagreement with these statements.

The results indicate that participants have perceived consumption norms that are associated with gender, age and income. Lower energy-dense foods and smaller meal patterns were generally associated with females, older persons and individuals with a higher income. In contrast, more energy-dense foods and meal patterns were generally associated with males, younger adults and individuals with a lower income. These consumption norms were held consistently across the population sample.

To the best of our knowledge, this is the first explicit demonstration of food consumption norms based on age and income.

Providing student housing designed to support students living with a disability is a global challenge. This study assesses buildings' physical health condition systems and drivers of physical health condition effects on students living with disability (SWD) in purpose-built university housing in Ghana.

The study used quantitative design and methods based on the theory of supportive design premises. Using the partial least square structural equation model, a survey of 301 students living with a physical disability, mild visual disability and mild hearing disability was collected in 225 student housings.

The study found that insect control and cleaning services are a priority in off-campus building design and management and directly positively affected the sense of control and physical health of SWD. The nature of lightning systems, noise and thermal comfort directly negatively affected SWD disability learning and discomfort.

Reviewing and enforcing student housing design drawings at the preliminary development stage by university management is critical. More broadly, physical health systems that control cleaning, noise and thermal comfort are essential for SWD health in student housing.

Studies on all-inclusive building designs have consistently focused on lecture theaters and libraries with limited attention on the physical health condition systems in student housing that support the quality healthcare of university campuses. Research on physical health condition systems in student housing is significant for all-inclusiveness and student housing management.