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This chapter contributes to the literature on domestic food provisioning and food insecurity in contemporary Europe, focusing on lone-parent households living with a disability or long-term health condition, either of a parent and/or a child, in the United Kingdom and Denmark. Taking a comparative case approach, it examines parents' strategies to achieve food security through practices of ‘domestic food provisioning’ that draw on resources within and outside the household. Taking account of the multiple layers of context in which provisioning practices are embedded, this chapter identifies factors or mechanisms that enhance or reduce food security for families living with a disability or long-term health condition. At the micro-level of food preparation, these families experience challenges including cooking and requirements for labour-saving equipment, providing meals that meet the needs of selective eaters (often children), the need to rely on their children's help and for outsourced domestic labour through buying ready-made foods. At the meso-level of procurement and ‘physical access’ to shops, transport is crucial, with households experiencing differences in service provision. At the macro-level of national welfare systems and ‘economic access’ to food, this chapter points to evidence that Britain provides insufficient financial provision for those with a disability or long-term health condition compared with Denmark, differences reflected in the depth and rates of poverty and food insecurity between these countries. However, as the cases in both countries demonstrate, welfare benefits provide insufficient financial resources to access adequate nutritious food or meet customary norms.

This study aims to characterize remote workers’ Airbnb experiences through the cognitive outcomes of their experiences and to consider the differences between long and short stays.

The structural topic model methodology was used to identify relevant topics. Data were collected from InsideAirbnb for Lisbon, Portugal and Austin, Texas, USA, for 2022 and early 2023, focusing on reviews that mentioned remote work.

The Airbnb experiences of remote workers and digital nomads are characterized as professionals who express mostly affective outcomes, but also have behavioral and nonaffective outcomes during their stay. In addition, the findings support the moderating role of length of stay and city.

This paper contributes to the literature by exploring how length of stay affects the priorities of remote workers on Airbnb, highlighting the different needs of long-term and short-term stays, and helping to consolidate and clarify the scattered research on customers’ long-term experiences in tourism and hospitality.

The Airbnb experience of remote workers is the highly valued as evidenced by the high rate of commending reviews indicating a willingness to stay there again. It is suggested that Airbnb hosts continue their helpful role and ensuring the functionality and availability of essential facilities and emphasizing neighborhood amenities specific to long and short stays. ChatGPT4 was found to be valuable for extracting data and assigning topic labels.

This study uses a novel structural topic model, augmented with ChatGPT4, to analyze Airbnb customer reviews that mention remote work, thereby improving inferences about the characterization of remote workers.

This article explores the use of natural language processing (NLP) techniques and machine learning (ML) models to discover underlying concepts of gender inequality applied to artificial intelligence (AI) technologies in female social media conversations. The first purpose is to characterize female users who use this platform to share content around this area. The second is to identify the most prominent themes among female users’ digital production of gender inequality concepts, applied to AI technologies.

Social opinion mining has been applied to historical Twitter data. Data were gathered using a combination of analytical methods such as word clouds, sentiment analyses and clustering. It examines 172,041 tweets worldwide over a limited period of 359 days.

Empirical data gathered from interactions of female users in digital dialogues highlight that the most prominent topics of interest are the future of AI technologies and the active role of women to guarantee gender balanced systems. Algorithmic bias impacts female user behaviours in response to injustice and inequality in algorithmic outcomes. They share topics of interest and lead constructive conversations with profiles affiliated with gender or race empowerment associations. Women challenged by stereotypes and prejudices are likely to fund entrepreneurial solutions to create opportunities for change.

This study does have its limitations, however. First, different keywords are likely to result in a different pool of related research. Moreover, due to the nature of our sample, the largest proportion of posts are from native English speakers, predominantly (88%) from the US, UK, Australia and Canada. This demographic concentration reflects specific social structures and practices that influence gender equity priorities within the sample. These cultural contexts, which often emphasize inclusivity and equity, play a significant role in shaping the discourse around gender issues. These cultural norms, preferences and practices are critical in understanding the individual behaviours, perspectives and priorities expressed in the posts; in other words, it is vital to consider cultural context and economic determinants in an analysis of gender equity discussions. The US, UK, Australia and Canada share a cultural and legal heritage, a common language, values, democracy and the rule of law. Bennett (2007) emphasizes the potential for enhanced cooperation in areas like technology, trade and security, suggesting that the anglosphere’s cultural and institutional commonalities create a natural foundation for a cohesive, influential global network. These shared characteristics further influence the common approaches and perspectives on gender equity in public discourse. Yet findings from Western nations should not be assumed to apply easily to the contexts of other countries.

From a practical perspective, the results help us understand the role of female influencers and scrutinize public conversations. From a theoretical one, this research upholds the argument that feminist critical thought is indispensable in the development of balanced AI systems.

The results also help us understand the role of female influencers: ordinary individuals often challenged by gender and race discrimination. They request an intersectional, collaborative and pluralistic understanding of gender and race in AI. They act alone and endure the consequences of stigmatized products and services. AI curators should strongly consider advocating for responsible, impartial technologies, recognizing the indispensable role of women. This must consider all stakeholders, including representatives from industry, small and medium-sized enterprises (SMEs), civil society and academia.

This study aims to fill critical research gaps by addressing the lack of a socio-technical perspective on AI-based decision-making systems, the shortage of empirical studies in the field and the need for a critical analysis using feminist theories. The study offers valuable insights that can guide managerial decision-making for AI researchers and practitioners, providing a comprehensive understanding of the topic through a critical lens.

In this chapter, we consider the origins of research on abuse in sport and its current positioning within the wider field of sport science and sport sociology. First, we look at specific challenges faced by pioneering researchers in this field through a discussion of Celia Brackenridge's early work and the resistance she faced from both the UK sport sector and academia. Second, we consider the manner in which the sport sector responded to the issue of child abuse, and the extent to which ‘safeguarding’ has been integrated into the structural fabric of sport. We then review the current positioning of research on child abuse and safeguarding in the context of wider sports science and sports sociology. We conclude that the topic has frequently been omitted from the thematic canon of social sciences in sport and has only recently been addressed, in a substantive fashion, within basic textbooks of sport sociology. Finally, this chapter highlights the critical potential of sociologically informed research on child maltreatment and abuse in sport.

The study aimed to examine the relationship between researcher competencies, resource availability and research translation in Ugandan universities.

This study used a cross-sectional research design with a quantitative approach, focusing on 58 universities in Uganda. A stratified sampling method selected 52 universities, and purposive sampling identified specific units of inquiry. Primary data was collected via structured questionnaires, and both correlation and regression analyses were applied.

The study found a positive and significant correlation between both researcher competencies and research translation as well as resource availability and research translation. Additionally, the combined effect of researcher competencies and resource availability on research translation was also positive and significant.

This study has been carried out in universities where academic staff have to carry out research. So, generalization to other organizations may not be possible.

The study’s findings can guide university researchers, management and policymakers, such as the Ministry of Education, Sports and National Guidance and the National Council for Higher Education, in prioritizing research translation as a tool for socioeconomic transformation.

The study uniquely explores the relationship between researcher competencies, resource availability and research translation in Ugandan universities, using the knowledge translation theory as its framework.

This systematic literature review aims to synthesise, organise and structure the stock of knowledge relating to leadership and design for Lean Six Sigma (DFLSS) and to understand leadership’s role, traits, skills, competencies and styles within the context for DFLSS program success.

The research is based on a systematic literature review of 67 papers that were published on leadership and DFLSS, demonstrating the importance of leadership for successful DFLSS programs.

The key findings show that leadership plays a critical role in launching and sustaining a DFLSS program in organisations, while illustrating the leadership traits, skills, competencies and styles that are more conducive to a successful DFLSS program.

The study has identified several gaps in the literature from a practical approach and an empirical validation of the critical factors of leadership when applying and supporting DFLSS efforts supporting future initiatives.

The aim of this research was to explore and gain an understanding of the lived experiences of Black females transitioning from social work practice into academia and the support and barriers they experienced.

To achieve this an adaptation of Wengraf (2004) Biographical Narrative Interview Model (BNIM) was employed alongside Braun and Clarke (2006) thematic analysis as foundation of the methodology employed in this study. Whilst the adverse issues relating to Black female academics is not new, the paper is original in the manner in which data was gathered.

The study identified four themes: (1) significance of early life, (2) passion for learning, (3) overcoming obstacles and (4) navigating academia. The case studies highlighted the various examples of resistance, rebellion and activism the Black female academics employed within UK universities. The paper concluded that despite the positive messaging from families and communities, about pursuing education, and the need for having a strong work ethic, the progress that can be achieved by Black female academics is limited due to the pervasive nature of racism, therefore dispelling the myth of meritocracy.

The research sample was small and therefore not easily generalisable to the whole population. The findings of the paper will need to be considered as a contribution of knowledge to the issue of structural racism.

Whilst the adverse issues relating to Black female academics is sadly not new, the paper is original in the manner in which data was gathered. Namely, the academics were both researchers and the participants, therefore simultaneously providing and analysing the data.

The purpose of this study is to illustrate that Reformism dominates much of Arab thought, and it has continued to be a major source of inspiration for contemporary Islamic philosophy. Thereafter, it shows that Amin Elkholy was a pioneer of reformism whose innovative thinking led Abd-el-Jabaar Elrefa’I and others to recognize him as the first hermeneuticist in the history of Islam.

The research traces Islamic Reformism's rise and development, evaluates its status in the map of modern Arab/Islamic thought and determines its main figures until arriving at Amin Elkholy. Then, it shows that through evolutionism and a comprehensive evolutionistic approach, Elkholy undertook renewal in Islamic reformism as a multidimensional innovation. So, the interaction between traditional renovation and Western evolutionism produced a highly fruitful philosophy of innovation and progress.

First, Islamic Reformism contains potential for continuous advancement and development. Second, Amin Elkholy has introduced a model of Islamic Reformism and achieved the situation of authenticity/modernization in a way that seems very compatible with our postmodernism era and postmodernist philosophy.

The research framework has been Modern Arab Thought and Contemporary Islamic Philosophy since the beginning of the 19th Century. The approach entails some future expectations.

The approach entails some future expectations and suggests topics for further research.

To the best of the author’s knowledge, it is the first time to notice some compatibility between Islamic Reformism and postmodernism.