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The COVID-19 pandemic exacerbated food insecurity and insufficiency in the United States. However, the causes of food insufficiency among people with disabilities during the pandemic are not well understood. This paper examined how loneliness and household structure are associated with food insufficiency among working-age adults (ages 18–64) with disabilities during the COVID-19 pandemic. Using 2021 National Survey on Health and Disability data, we conducted logistic regression to estimate the association between loneliness, household composition, and food insufficiency. Measures of household structure, such as the number of children in the household and living with other adults, were not associated with food insufficiency during the COVID-19 pandemic. Secondary analyses found that loneliness had a strong association with food insufficiency for those who live alone. Respondents who lived alone and reported feeling lonely had the highest odds of being food insufficient during the pandemic. Our findings indicate that in addition to household structure, it is important to assess psychosocial well-being, such as measures of loneliness, when examining food insufficiency among working-age adults with disabilities.

Against the recent reversal of the gender gap in higher education that has been observed in many countries, this paper aims to explore why there are better chances for lower social class women to access higher education than for higher social class women in a relative comparison with the same groups of men. Based on the occupational approach and the Breen–Goldthorpe model, we demonstrate those country conditions under which stratification in individual chances to obtain higher education is more severe.

We use contextual characteristics which capture gender-based and occupational differentiation, including female labour force participation, the share of females in the service sector, and the share of males in upper-secondary vocational education. By using multilevel modelling techniques and data provided by the European Social Survey (2002–2018) for 33 countries, we have made a cross-country analysis of how the relationship between gender and class, as well as the achievement of higher education, is moderated by these features.

Our results show that a higher share of males in upper secondary vocational education in a given country is negatively associated with the likelihood of obtaining higher education, whereas a high share of females employed in services in a given country has a positive association with this likelihood. We have also found cross-level interactions between a higher share of employed females and women in the service sector, on the one hand, and those of working-class origin, on the other, that are positively associated with higher education achievement. In higher education achievement, the growing importance of horizontal differentiation based on occupation and gender has accompanied the declining power of vertical inequality based on social class.

This study combines gender and class in an analysis of patterns of inequalities of educational opportunity in different societies undergoing a post-industrialist shift.

This study used phenomenological narrative methodology to get insights into lived experiences of 10 Asian immigrant woman scholars in science, technology, engineering, and mathematics (STEM) in US institutions of higher learning. A feminist research approach overall guided the study. The concepts and theories of intersectionality, cultures of the academy, mindset, and mind tools framed the examination of the impacts of gender and work–family–community environments on the career pipeline of this group of women. The data were from two sources: (1) 48 documents on the participants and their institutions and (2) in-depth semi-structured interviews with these 10 participants. The findings show that gender and environment impacted the Asian women scholars’ career pipeline and advancement differently. On the negative side, barriers separately or jointly rooted in gender-based, racial, and hierarchical biases at stages of their career pipeline, from professional education to faculty appointment and leadership, challenged them. On the positive side, other gender-based and environmental agents and interventions supported them to overcome obstacles to their upward career mobility. This chapter has implications for how higher education institutions can improve their gender-based and environmental policies and praxis and facilitate the advancement of Asian immigrant women in STEM. It also has implications for how Asian women can prepare themselves to be successful in academic STEM careers.

There has been a paradigm shift within research exploring autistic experience in recent decades towards greater participation, agency and voice for autistic researchers and the autistic community more generally (Fletcher-Watson et al., 2019). This approach has shown a greater focus on research oriented towards the priorities or preferences of the autistic community (Fletcher-Watson & Happé, 2019; Pellicano et al., 2014), curtails concerns regarding epistemic injustice and has influenced understandings of autistic ontology and neurology. Co-produced research, characterised by the inclusion of diverse stakeholders, builds trust between participants. Nonetheless, co-production in research requires careful planning and support (Stark et al., 2021), sometimes proving ‘turbulent’ and ‘challenging’ (Worsley et al., 2021). This chapter explores the experiences and reflections of a team of autistic and non-autistic researchers conducting co-produced research amid the global COVID-19 pandemic. With research practices and systems altered due to increased remote work, online communication and limited in-person interaction, this topic is especially pertinent. With the increasing emphasis on involving members of the autistic community in research at all levels of development, the impact of the pandemic on how participatory research is carried out may be complex. This chapter has implications for planning and conducting co-produced research in our new reality, considering both the opportunities and obstacles it presents.

Through critically reflecting on existing research on information and communication technology (ICT) in hospitality, the purpose of this study is to propose recommendations for future research to further narrow the theory-practice gap.

Personal experiences along with evidence from the literature provide a foundation for discussion, which is further enriched by integrating industry practitioners’ points of view.

Single-perspective and technology adoption studies have dominated ICT research in the hospitality literature. Technology effectiveness has often been measured indirectly. Oversimplifying technological issues has limited the generalizability of research findings.

Future studies are suggested to go beyond examining technology adoption, embrace multi-perspective approaches and incorporate a wider range of situational and contextual factors.

Through a unique perspective, this study highlights the limitations of previous ICT research in the hospitality literature and provides suggestions for future research to better meet the needs of practitioners. The arguments presented are not purely from an academic standpoint, as they have been endorsed by senior industry executives.

While the COVID-19 pandemic has given many firms the importance of business continuity, restaurants have yet to realize the essential enablers. In this regard, the study explored the potential enablers that can help firms attain business continuity in the post-COVID-19 era for casual dining restaurants.

This study used an extensive literature review and further supported 28 restaurant managers with an average experience of 8.5 years to identify the potential enablers for ensuring business continuity for casual dining restaurants. Subsequently, this study used the interpretive structural modelling coupled with Matrice d'Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis to understand the context-specific inter-relationships as a hierarchical structural model.

Findings suggest that financial capability forms the key driver for other enablers in the hierarchy of business continuity for casual dining restaurants. Furthermore, manpower (local and outstation) are the second-level drivers of restaurant process control, digital presence, online reviews and feedback management, scalability, food quality, food delivery management, employee safety and hygiene. The third-level factors further help restaurants to achieve the dynamic capability required to provide customer value and ensure business continuity.

The study is the foremost to explore a business continuity framework in the new normal for casual dining restaurants in the country. Furthermore, several contextual inter-relationships exhibiting the hierarchy are also established for the business continuity of restaurants in the new normal.

Recognizing novel entrepreneurial opportunities arising from a crisis is of paramount importance for firms. Hence, understanding the pivotal factors that facilitate firms in this endeavor holds significant value. This study delves into such factors within a representative empirical context impacted by a crisis, drawing insights from existing literature on opportunity recognition during such tumultuous periods.

The authors conducted a qualitative inspection of 14 Italian firms during the COVID-19 pandemic crisis. The authors collected a rich body of multi-source qualitative data, including 34 interviews (with senior managers and entrepreneurs) and secondary data (press releases, videos, web interviews, newspapers, reports and academic articles) in two phases (March–August 2020 and September–December 2020).

The results suggest the existence of a process model of opportunity recognition during crises based on five entrepreneurial influencing factors (entrepreneurial knowledge, entrepreneurial alertness, entrepreneurial proclivity, entrepreneurial personality and entrepreneurial purpose).

Various scholars have highlighted that, in times of crises, it is not easy and indeed very challenging for entrepreneurs to identify novel entrepreneurial opportunities. However, recent research has shown that crises can also positively impact entrepreneurs and their capacity to identify new entrepreneurial opportunities. Given these findings, not much research has analyzed the process by which entrepreneurs identify novel entrepreneurial opportunities during crises. This study shows that some entrepreneurial influencing factors are very important to identify new entrepreneurial opportunities during crises.

Motivated by recent research indicating the significant challenges posed by imbalanced datasets in industrial settings, this paper presents a novel framework for Industrial Data-driven Modeling for Imbalanced Fault Diagnosis, aiming to improve fault detection accuracy and reliability.

This study addressing the challenge of imbalanced datasets in predicting hard drive failures is both innovative and comprehensive. By integrating data enhancement techniques with cost-sensitive methods, the research pioneers a solution that directly targets the intrinsic issues posed by imbalanced data, a common obstacle in predictive maintenance and reliability analysis.

In real industrial environments, there is a critical demand for addressing the issue of imbalanced datasets. When faced with limited data for rare events or a heavily skewed distribution of categories, it becomes essential for models to effectively mine insights from the original imbalanced dataset. This involves employing techniques like data augmentation to generate new insights and rules, enhancing the model’s ability to accurately identify and predict failures.

Previous research has highlighted the complexity of diagnosing faults within imbalanced industrial datasets, often leading to suboptimal predictive accuracy. This paper bridges this gap by introducing a robust framework for Industrial Data-driven Modeling for Imbalanced Fault Diagnosis. It combines data enhancement and cost-sensitive methods to effectively manage the challenges posed by imbalanced datasets, further innovating with a bagging method to refine model optimization. The validation of the proposed approach demonstrates superior accuracy compared to existing methods, showcasing its potential to significantly improve fault diagnosis in industrial applications.

This study aims to understand in what way municipal mediators can function as a cooperation network, promoting better social and economic inclusion of Roma community.

To fulfil this objective, a qualitative approach was adopted, holding semi-structured interviews with various partners involved in an inter-organisational cooperation network: the DiverCity project. This project aims to combat the discrimination of Roma community living in the local authority.

The empirical evidence obtained shows that the most important factors for the successful social and economic inclusion of Roma community are networking and the trust created between the parties involved. Communication, flexibility and common goals are other essential relational factors for the social and economic inclusion of the Roma community in this cooperation network.

This study shows how trust and networking are fundamental for the social and economic inclusion of Roma community. When minorities and the majority community are in harmony and consider factors such as trust and communication, social inclusion is found to be the case. From networking and the trust established between partners, this study shows how municipal mediators can facilitate inclusion of Roma community.

As there is little research on the role of municipal mediators in social inclusion, this study is particularly important and innovative by proposing a model for project development aiming for the inclusion of minority groups such as Roma community.

This paper has a dual purpose: to produce a clear panorama of microfactors behind the implementation of environmental, social and governance (ESG) in emergent economies, and to identify long-term versus short-term implications of ESG and its impacts on sustainable transformation. In particular, the paper investigates the moderating role of ownership concentration on ESG performance and firm value relationship in Southeast Asia during 2010–2022 and COVID-19 period 2020–2022.

By adopting stakeholder and agency theory lenses, this study analyzes 591 nonfinancial listed companies in Southeast Asia from 2010 to 2022 with 2,673 firm-year observations. Data has been collected from Refinitiv and companies' annual reports. Ordinary least squares (OLS) and two-stage least squares (2SLS) estimators are main strategies.

During 2010–2022, the links between ESG performances and firm value are negative. Ownership concentration negatively moderates the nexus between governance pillar and firm value in both short and long run. In COVID-19, ownership concentration also plays an antagonistic moderating role in ESG combined score-firm value association. The results show a crucial role of blockholders in Southeast Asian firms and their strong support to ESG in conquering crisis period, suggesting that managers develop balancing mechanisms in making ESG-related decisions; policymakers and regulators improve effective control instruments with strong legal systems and enhanced law enforcement to protect minority shareholders.

This is the first study to test the connection between ESG performance, ownership concentration and firm value in Southeast Asia that has: (1) utilized different proxies of firm value and ownership concentration in robustness tests, (2) controlled heteroskedasticity defects, (3) eliminated companies in the Banking and Finance sector from the sample to avoid distorting the conclusions and (4) empirically verified the driven role of governance pillar in ESG performance and ownership concentration reversely moderated the impact of governance pillar on firm value.