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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 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.

The purpose of this study is to assess whether educated non-researcher audiences understand how to reuse research data stored in a data repository.

A total of 44 participants in two user studies were asked to study a data set accessed from re3data.org. The participants were non-researcher audiences of the disciplines of the selected data sets. They were asked to figure out whether they understood how to reuse a data set after reading all the metadata or contextual information about the data set.

Most participants reported that they figured out how to reuse the data, although their self-reports can be an overestimated assessment. However, the participants understand how to reuse a data set either numerically or statistically significantly worse than what the data set is, how it was collected or created and its purpose. Data set type tends to play a role in understanding how to reuse data sets and the purpose of data sets. Participants reported that unless a data set is self-explanatory, instructions on data set reuse and the purpose of data set were necessary for understanding how to reuse data set. However, because data reuse requires domain knowledge and data processing skills, some non-researcher audiences who lack domain knowledge and data processing skills may not understand how to reuse the data set in any way.

This study’s findings enrich the theoretical framework of data sharing and reuse by expanding the necessary information to be included in data documentation to support non-researchers’ data reuse. The findings of the study complement previous literature.

This study extended previous literature by suggesting detailed data reuse instructions be included in data documentation if data producers and data curators wish to support educated non-researchers’ data reuse. This study’s findings enable policymakers of research data management (RDM) to formulate guidelines for supporting non-researchers’ data reuse. If data curators need to work with data producers to prepare the instructions on data reuse for non-researcher audiences, they probably need computing and data processing skills. This has implications for Library and Information Science schools to educate data librarians.

The research question is original because non-researcher audiences in the context of RDM have not been studied before. This study extended previous literature by suggesting detailed data reuse instructions be included in data documentation if data curators and data producers and data curators wish to support educated non-researchers’ data reuse. This study’s findings enable policymakers of RDM to formulate guidelines for supporting non-researchers’ data reuse.

Through the reconstruction of the events of some foreign entrepreneurs who worked in the territory of the Italian city of Bari in the first half of the 19th century, this paper aims to analyze the role of entrepreneurial migration in the economic development of Apulia land in this period.

This study adopts a theoretical framework that combines the concept of mixed embeddedness in a multifocal perspective, with the model of the diffusion of innovation focusing on the role of the so-called agency of actors, and of the network, in the dissemination of innovation. The theoretical framework is applied to multiple case studies to compare the evidence that emerged from the simultaneous analysis of several situations.

By analyzing how innovations have spread within the network of entrepreneurs of that time, it is possible to identify some relevant aspects related to the mechanisms of dissemination of innovations in the context of entrepreneurial migration. Specifically, the opportunity structure is intended in an even broader sense than indicated in the classic approach to mixed embeddedness: it is considered as the result of the joint interaction of the political, institutional and economic context of several places, and the behavioral dynamics of several groups.

Due to the specific method chosen, the outcomes of the research might apply to a narrow context. Therefore, the results need to be tested and confirmed in further empirical studies, and by applying multiple research methods.

Findings are useful and significant in the analysis of the link that exists between the diffusion of innovations and migrant entrepreneurship, and then the conclusions can be applied and extended to the current phenomenon of migration-related innovations, with specific reference to developing countries.

Findings can be applied and extended to the current phenomenon of migration-related innovations and highly skilled migration, with specific reference to developing countries.

This paper contributes to shed new light on the contextual and multifocal factors that influence the development of innovations in the networks of migrant entrepreneurship, in a specific historical period and a specific context. Combining social, human and financial capital with the wider opportunity structure, this study also provides a comprehensive understanding of the modalities through which migrant and high-skilled entrepreneurs could innovate.

The emergence of widely available Generative Artificial Intelligence (GenAI) tools, such as ChatGPT, presents both opportunities and threats for higher education. This study aims to investigate the factors that influence students’ current use of GenAI and students’ perceptions of how GenAI can facilitate learning, as well as informs recommendations for institutional policies related to GenAI.

A mixed-method approach was used. A survey of undergraduate business students was followed by a case study that required students to use GenAI as part of a homework assignment and then reflect on their learning experience.

Students used GenAI more frequently when they perceived that it helped their learning outcomes and when it was perceived as a social norm. Conversely, the perception that GenAI was cheating reduced its usage. Male (vs female) students used GenAI more frequently. Students preferred institutional policies that allowed the use of GenAI but also set clear boundaries for its use. They reported that the assignment that required the use of GenAI enhanced their learning experience.

Results from the survey and case study imply that institutions should set policies establishing clear boundaries for the use of GenAI while encouraging and training faculty to incorporate GenAI into classroom assignments. Doing so can facilitate student learning and train students on an important technology that prepares them for the workforce.

This study provides insight into students’ usage of GenAI, explores factors that predict its usage, provides policy recommendations for educational institutions and offers a template for incorporating GenAI into classroom assignments.

The primary motive of the research paper is to investigate the efficiency of currency market of emerging economies (BRICS countries), by analyzing the presence and consistency of calendar anomalies – specifically the day-of-the-week (DOW) effect, the January effect and the Turn-of-the-month (TOM) effect. Daily data of around 23 years and 4 months were examined for the purpose of study. Segmented data of 8-year intervals were also analyzed to observe the changes in the pattern over a period. The findings are intended to offer insights into market behaviors and potential trading strategies for astute traders.

The study employed a quantitative research design utilizing ordinary least squares regression with dummy variables and Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) (1,1) model. To study the calendar anomalies, the daily closing price of five currency pairs has been taken from Bloomberg’s software. The Kruskal–Wallis test was conducted to validate and check the robustness of analysis.

There are mixed results regarding calendar anomalies in the BRICS currency markets. Analysis of aggregate data revealed that DOW effect is present in all the currencies except USDZAR, with Monday showing positive return. The segmented analysis showed the presence of DOW effect in USDCNY and USDINR, while other currencies lacked consistent patterns. The January effect was evident for Indian Rupees and Chinese Yuan but not for other currencies. TOM effect was present only in Chinese Yuan. Overall, the Indian Rupee and Chinese Yuan displayed inefficiencies, indicating potential for trading strategies, while other currencies appeared efficient and lacked consistent patterns.

The literature on currency pricing anomalies is sparse, particularly in the context of developing and underdeveloped economies. While some research exists on anomalies within the currencies of developed nations, there is a significant gap in studies focusing on emerging economies. This paper seeks to address this deficiency by investigating the presence of calendar anomalies in the currencies of BRICS countries, providing new insights into the behaviors of these emerging economies.

Data represents a critical resource that enables construction companies’ success; thus, its management is very important. The purpose of this study is to assess the benefits of construction data risks management (DRM) in the construction industry (CI).

This study adopted a quantitative method and collected data from various South African construction professionals with the aid of an e-questionnaire. These professionals involve electrical engineers, quantity surveyors, architects and mechanical, as well as civil engineers involved under a firm, or organisation within the province of Gauteng, South Africa. Standard deviation, mean item score, non-parametric Kruskal–Wallis H test and exploratory factor analysis were used to analyse the retrieved data.

The findings revealed that DRM enhances project and company data availability, promotes confidentiality and enhances integrity, which are the primary benefits of DRM that enable the success of project delivery.

The research was carried out only in the province of Gauteng due to COVID-19 travel limitations.

The construction companies will have their data permanently in their possession and no interruption will be seen due to data unavailability, which, in turn, will allow long-term and overall pleasant project outcomes.

This study seeks to address the benefits of DRM in the CI to give additional knowledge on risk management within the built environment to promote success in every project.

The personalities of the design team members constitute one of the factors that influence team effectiveness. In this study, 223 members of the “American Institute of Architects” who are employed by the largest architectural design firms in the United States of America were categorized according to their personality types by using “The Enneagram Personality Type Model.” Also, the respondents’ opinions about eight team effectiveness outcomes were recorded in order to explore the relationship between team members’ personality types and team effectiveness outcomes.

The information was collected by a questionnaire where the first part included 144 pairs of statements that were used to identify respondents’ personality types. The second part sought designers’ opinions about the importance of eight team effectiveness outcomes rated on a Likert scale ranging from 1 to 5. The results were assessed by performing the Kruskal–Wallis test first and Dunn’s post-hoc test with Bonferroni adjustment subsequently.

The findings highlight the significance of personality types in effective design teams. While Type 6 (loyalist and skeptic) and Type 3 (achiever and performer) architects prioritize team effectiveness the most, Type 7 architects (enthusiasts and epicureans) assign the lowest importance. However, the presence of Type 1 (reformist and perfectionist) and Type 8 (challenger and protector) architects within the same design team may involve challenges or conflicts.

The primary contribution of this study is that it is the first study in the construction management literature that utilizes The Enneagram of Personality Test to understand the relationship between team members’ personality types and team effectiveness outcomes. This study is of direct relevance to practitioners and could be utilized in design team-building activities.