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With the recognition that generating economic growth is not the same as sustaining it, the challenge to catch-up and growth literature is discerning between these processes. Recent research suggests that the decline in the frequency of “shrinking” episodes is more important for long-term development than higher growth rates. By using a framework centred around social capabilities, this study aims to investigate the effects of income inequality and poverty on economic shrinking frequency, as opposed to previous literature that has exclusively had a growth focus. The aim is to investigate how and why some societies might be more resilient to economic shrinking.

The research is a quantitative study, and the authors build a longitudinal data set including 23 developing countries throughout 42 years to test the paper’s purpose. This study uses country and period fixed-effects specifications as well as cross-sectional graphical representations to investigate the relationship between proxies of economic inclusivity and the frequency of shrinking episodes.

The authors demonstrate that while inclusive societies are more resilient to shrinking overall, it is changes in poverty levels, but not changes in income inequality, that appear to be correlated with economic shrinking frequency. Inequality, while still an important element to explain countries’ growth potential as an initial condition, does not seem to make the sample more resilient to shrinking. The authors conclude that the mechanisms in which poverty and inequality are correlated with the catch-up process must run through different channels. Ultimately, processes that explain growth may intersect but not always overlap with the ones that explain resilience to shrinking.

The need for inclusive growth in long-term development has been championed for decades, yet inclusion has seldom been explored from the shrinking perspective. Though poverty reduction is already an important mainstream political objective, this paper differentiates itself by providing an alternate viewpoint of why this is important. Income inequality could have more of an economic growth limiting effect, while poverty reduction could be required to build resilience to economic shrinking. Developing countries will need both growth and resilience to shrinking, to catch-up with higher-income economies, which policymakers might need to balance carefully.

This study addresses the need for a theory-guided, rich, descriptive account of research data repositories' (RDRs) understanding of data quality and the structures of their data quality assurance (DQA) activities. Its findings can help develop operational DQA models and best practice guides and identify opportunities for innovation in the DQA activities.

The study analyzed 122 data repositories' applications for the Core Trustworthy Data Repositories, interview transcripts of 32 curators and repository managers and data curation-related webpages of their repository websites. The combined dataset represented 146 unique RDRs. The study was guided by a theoretical framework comprising activity theory and an information quality evaluation framework.

The study provided a theory-based examination of the DQA practices of RDRs summarized as a conceptual model. The authors identified three DQA activities: evaluation, intervention and communication and their structures, including activity motivations, roles played and mediating tools and rules and standards. When defining data quality, study participants went beyond the traditional definition of data quality and referenced seven facets of ethical and effective information systems in addition to data quality. Furthermore, the participants and RDRs referenced 13 dimensions in their DQA models. The study revealed that DQA activities were prioritized by data value, level of quality, available expertise, cost and funding incentives.

The study's findings can inform the design and construction of digital research data curation infrastructure components on university campuses that aim to provide access not just to big data but trustworthy data. Communities of practice focused on repositories and archives could consider adding FAIR operationalizations, extensions and metrics focused on data quality. The availability of such metrics and associated measurements can help reusers determine whether they can trust and reuse a particular dataset. The findings of this study can help to develop such data quality assessment metrics and intervention strategies in a sound and systematic way.

To the best of the authors' knowledge, this paper is the first data quality theory guided examination of DQA practices in RDRs.

This study examines the effects of CLS and DS on companies' WCME and analyses the differences in WCME at company and market levels.

This study adopts the DEA approach, regression, differences, and additional analyses to achieve its objectives. This study employs 235 non-financial companies and 1,175 company-year observations from eight active industries in the United States from 2016 to 2020.

The findings indicate that CLS and DS strategies positively influence companies' WCME. Additionally, WCME differed across size categories and industries, with large companies and those operating in the communication services industry showing better WCME. By contrast, WCME did not differ between the periods before and during the COVID-19 pandemic.

This study scrutinizes the impact of CLS and DS strategies on companies' WCME to bridge the gap in this field. It extends the investigation of competitive strategies as explanatory variables for a company's WCME and examines the differences in companies' WCME at the company and market levels, which may assist decision-makers in improving their strategies and efficiencies for continuous improvement.

This study enhances current knowledge by uncovering the influence of CLS and DS strategies on improving companies' WCME, an underexplored topic. It also explores companies' WCME trends and patterns regarding company size, industry type, and the pandemic period to draw interesting conclusions about the essence of WCME.

This paper aims to contribute to the existing literature in the field of hospital governance by exploring the relationship between the attributes and performance of hospital boards and hospital performance in terms of quality of healthcare.

A survey of board performance in public hospitals in Morocco was carried out, in which we surveyed all board members of the 13 hospitals in the Casablanca-Settat region. A total of 82 members responded (82% response rate) to the previously adapted and validated self-evaluation questionnaire on board self-assessment questionnaire (BSAQ) board member performance.

On average, the hospital boards studied had eight members. In terms of clinical expertise, half the members were physicians and 17% were nurses. In addition, positive correlations were found between certain board characteristics, notably age, seniority, members' perceptions of their impact on the quality of healthcare and several dimensions of board performance. In parallel, the results showed strong and significant associations between turnover rate and BSAQ score. Negative correlations were also found between average length of stay and BSAQ score. With regard to mortality parameters, it should be noted that we were unable to establish a strong empirical correlation between hospital boards' self-assessed performance and other hospital mortality indicators.

The present study offers a rigorous rationale for the use of the French-translated BSAQ in the hospital context, and we hope that others will use this tool in future work within the framework of evidence-based research. In addition, the BSAQ tool’s focus on board competencies (and not just structure, composition or processes) provides valuable insights into what boards need to learn in order to function effectively. However, despite the insistence of the authors of this study on the need for a comprehensive census of public hospital board members in the region, several obstacles were encountered. Firstly, there were difficulties related to vacancies within the hospitals, which had the effect of restricting the representativeness of the sample. Secondly, access to hospital board members proved complex due to their busy schedules and the confidential nature of their meetings. Finally, it is important to note that national performance indicators in Morocco may not be as reliable as in other countries, which could complicate the identification of high-performing hospital systems and, consequently, make inference difficult.

This study provides large-scale empirical evidence of processes related to the governance of quality of healthcare and elucidates the existence of an association between hospital board performance and clinical performance. The use of validated tools such as the BSAQ should therefore help improve the performance of boards and governance in public hospitals.

The theory of managerial discretion and the direct insights it provides in the understanding of the varying impact strategic and operational actions have on organizational change and business fortunes is an area of research potential underexplored in the UK. This study aims to establish whether the measurement of managerial discretion is constant between the two similar societal corporate frameworks of the UK and the USA listed markets.

The extant managerial discretion ranking model, established in the USA, is empirically assessed for its validity and effectiveness across a sample of high- and low-discretion companies from the FTSE 350.

Using accounting measures, a clear and significant difference is established between UK high and low managerial discretion entities. The results prove to be significant in enabling the differential comparative analysis of the institutional characteristics of corporates.

To the best of the authors’ knowledge, no study of this nature has been conducted previously in the UK context. While the original model developed in the USA is now several decades old, the UK results reflect similar industry rankings as found originally in the USA, subject to some differences considered to be a result of the changing nature of global business since the 1990s. This study opens a new seam of novel research, which has the potential to uncover, at a granular level, the differential mores and character of management ethics, styles and practices in such issues as organizational change, corporate culture, governance and social responsibility.

The purpose of this research is to investigate the role of social media in supporting the psychological well-being of young expatriates.

The study adopts a qualitative research design based on semi-structured interviews with Gen Z expatriates who are active social media users.

This study reveals social media’s pivotal role in enhancing Gen Z expatriates’ psychological well-being. It fosters virtual connections to their home country, validating their distinctive international experiences, facilitating integration into the host culture and challenging stereotypes. By developing bonding and bridging social capital, social media mitigates cultural distance, strengthens social support and ultimately contributes to positive expatriate well-being.

This research responds to the growing call for studies on the intersection of digitalization and expatriation, offering insights into how digital tools can enhance the well-being of expatriates. By developing a conceptual model grounded in social media and expatriate support literature, this research highlights the specific mechanisms through which social media impacts the psychological well-being of Gen Z expatriates, a previously under-researched area. While physical support is limited by geographical proximity and shared experiences, digital support can transcend these boundaries, providing access to a wider range of resources and perspectives. By focusing on Gen Z, a generation known for its digital fluency and reliance on social media, we provide insights that can inform targeted interventions and support strategies specifically tailored to this demographic.

This case analyzed a mix of publicly accessible primary and secondary sources ranging from blog posts to academic articles. Taken together, the case study shows the reoccurring arguments made by self-advocates.

Most of the videos and speeches mentioned in this case study are available online, and students can read/watch them in addition to reading the details presented here.

Autism Speaks entered the nonprofit scene in 2005 and rapidly became a powerful organization that raised substantial funds, collaborated with influential people and shaped public discourse on autism. However, from the beginning, the organization faced considerable criticism from self-advocates within the autism community who argued that the organization’s negative, medicalized narratives of autism undermined the neurodiversity movement’s goals of acceptance and inclusion. Tensions intensified over the next decade, with grassroots activists and disability rights organizations like the Autistic Self Advocacy Network demanding the inclusion of more autistic perspectives in the organization’s leadership and decision-making processes. The Autism Speaks controversy represents a powerful case study on how nonprofits should ethically represent their beneficiaries, collaborate with the community and engage with activist stakeholders.

This case study was designed for graduate or undergraduate students studying organizational ethics, nonprofit management or nonprofit funding and development.

The purpose of this research is to examine Micro-, small- and medium-sized enterprises (MSMEs). Which have limited access to financial resources from financial intermediaries. Thus, resource allocation is a primary concern for them.

This research studies the determinants of cash conversion cycle components and cash flow of MSMEs operating in Ecuador. This study examined a robust sample of 19,680 firms from 2000 to 2020, using the two-step generalized methods of moments to control for endogeneity and multicollinearity of independent variables issues.

The sample was divided into working capital intensive and fixed capital intensive firms. It was found that in every segment (micro-, small- and medium-sized), the majority of firms are working capital intensive and their average return is higher. This implies that small business owners assign the majority of their resources to current assets, which thus far have enabled them to achieve higher profitability.

Research investigated Ecuadorian MSMEs in a dollarized developing environment. Scrutinizing working capital intensive vs fixed capital intensive.

The purpose of the paper is to explore Chinese women entrepreneurs’ perceptions of governance within the Shanghai fashion entrepreneurial ecosystem (SFEE) and identify whether policy is effective and inclusive of women entrepreneurs, potential barriers and if implementation is proceeding as planned.

We used an adaptive qualitative method incorporating a traditional case study utilizing a thematic analysis with a feminist approach to policy analysis. The case study is based on original data from ethnographic practices with a purposive sample of 15 fashion entrepreneurs and triangulated with six political elites within the SFEE.

The findings indicate that women fashion entrepreneurs perceive effective governance of the SFEE, legitimizing top-down policies and resources as the “right time” for them to be women and entrepreneurs in Shanghai. Entrepreneurs claim “I am human,” asserting gender equality in business but with circumstantial gender roles that can limit access to important resources.

A single industry, the SFEE, limits the generalizability of the findings. Additionally, did the respondents feel comfortable with the truth? True to communist nations, citizens have few opportunities to voice opinions and public dissent is discouraged. However, we took steps to protect anonymity and excluded potentially sensitive questions dealing with geopolitical strife.

The study outlined six SFEE governance challenges and feminist policy responses that will strengthen the future of women’s entrepreneurship. The study can introduce classroom discussions on gender dynamics and entrepreneurship in the global context. This can help students understand the unique challenges women face, such as access to funding, networking opportunities and societal expectations, and how these factors influence the global supply chain.

The case study has several contributions, including a novel entrepreneurial ecosystem (EE) governance framework and the first study to endorse the voice of Chinese women entrepreneurs operating within the Shanghai fashion industry. Further, we contextualize entrepreneurship using anthropological methods. Lastly, the analysis and understanding of SFEE policies have the potential to improve women’s lives, their families and communities.

Identifying data reuse is challenging, due to technical reasons, and, in particular, incorrect citation practices among scholars. This paper aims to propose an automatic method to track the reuse of data deposited in the archives joined to the CESSDA (Consortium of European Social Science Data Archives) infrastructure. The paper also offers an overview on the identified data to understand the characteristics of the most reused data sets.

The reuse of data sets stored in the GESIS data archive, the biggest CESSDA data archive, and cited in publications indexed by Scopus, is tracked. Metadata of publications, and those of data sets, allow us to understand the characteristics and circumstances in which data reuse happens.

This contribution demonstrates the possibility of tracking data reuse through an automatic way, despite the technical difficulties in doing it. Evidence about the most reused data are shown, highlighting some limits in the tracking practices of reuse. Finally, some suggestions to the actors involved in data sharing are proposed.

The originality of this work is the provision of an automatic procedure to investigate and measure the data reuse, providing information on how it happens. This is uncommon in the social science literature and archives, that usually adopt inaccurate metrics to measure data reuse.