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The repatriation process often involves challenging and unexpected readjustment issues, leading to high turnover amongst repatriates. However, research has focussed on the re-entry decisions and experiences of company-assigned (CA) repatriates, whilst studies on self-initiated expatriates (SIEs) that repatriate back to their home countries (i.e. self-initiated repatriates (SIRs)) are limited, particularly in emerging transition economies. This study develops and tests a model to explain the factors influencing professional SIRs' turnover intentions and how repatriation readjustment affects their intentions in Vietnam.

The data was collected from 445 Vietnamese professional SIRs who worked and/or studied for extended periods overseas and subsequently returned to Vietnam. Structural equation modelling (SEM) was used to analyse the data.

Results indicate that both work and life repatriation adjustment difficulties have significant positive effects on turnover intentions, whilst only repatriation life adjustment difficulties have an indirect effect via life dissatisfaction. Further, cultural distance positively influences repatriation adjustment difficulties and turnover intentions. SIRs' on-the-job and off-the-job embeddedness negatively moderate the influence of repatriation work and life adjustment difficulties on turnover intentions, respectively.

The study develops a theoretical model explaining how repatriation difficulties impact the turnover intentions of SIRs, considering contextual factors including cultural distance and embeddedness. The research highlights the importance of job embeddedness as a form of social and organisational support for SIRs in managing psychological challenges related to repatriation, which can help reduce turnover and retain highly skilled talent. Additionally, the study extends repatriation research on an under-researched subgroup of SIEs, SIRs, in an under-researched emerging transition economy context.

The study examines potential differences in socioeconomic status (SES) and emigration patterns between Greek international students (IS) and non-international students (non-IS) and their relationship to the brain drain from Greece.

The study draws on a unique database including all the Greek PhD holders and provides detailed information on their SES and mobility patterns. Furthermore, an individual-level SES index is constructed including both human capital and socioeconomic indicators to estimate the magnitude of the brain drain in terms of the SES that emigrated abroad between 1,985 and 2,018.

First, Greek IS have a higher educational, professional and economic status compared to Greek non-IS. Moreover, they exhibit a more international profile, inasmuch as they are more likely to remain abroad after graduation to seek employment. Second, the magnitude of the brain drain in terms of SES emigrated abroad (22.5% of the total) is greater than in terms of individuals who moved abroad (13.4% of the total). Specifically, the SES that outflows with an additional Greek skilled emigrant (that is, an additional IS and non-IS residing abroad) is 1.1 times greater than the SES that remains in Greece with an additional non-IS residing in Greece.

The study contributes to the scientific discussion that relates the SES of IS and highly skilled migrants to brain drain and fills the gap in the relevant literature.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0607.

Foreign directors from developed nations are significant brain gains for Chinese firms because they improve board competency and board diversity. Therefore, the purpose of this study is to explore the relationship between foreign directors from developed countries on Chinese listed firms and firms’ green commitment.

For the empirical analysis, first, this study applies ordinary least square regression and firm fixed model to explore the relationship between foreign directors and green commitment. For the endogeneity concerns, this study first added more control variable in the main model, then applied instrumental variable approach and propensity score matching technique.

This study predicts and finds that percentage of foreign directors from developed countries on Chinese listed firms’ board positively enhances the firms’ green commitment. Furthermore, this study also finds that the positive relationship between foreign directors and firms’ green commitment is more significant when firms are in a low competitive industry, have no financial constraints and are overseas-listed. This study’s findings are robust after controlling for endogeneity concerns.

This is new research on the impact of foreign directors on corporate green commitment.

This study specifically seeks to investigate the strategic implementation of machine learning (ML) algorithms and techniques in healthcare institutions to enhance innovation management in healthcare settings.

The papers from 2011 to 2021 were considered following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. First, relevant keywords were identified, and screening was performed. Bibliometric analysis was performed. One hundred twenty-three relevant documents that passed the eligibility criteria were finalized.

Overall, the annual scientific production section results reveal that ML in the healthcare sector is growing significantly. Performing bibliometric analysis has helped find unexplored areas; understand the trend of scientific publication; and categorize topics based on emerging, trending and essential. The paper discovers the influential authors, sources, countries and ML and healthcare management keywords.

The study helps understand various applications of ML in healthcare institutions, such as the use of Internet of Things in healthcare, the prediction of disease, finding the seriousness of a case, natural language processing, speech and language-based classification, etc. This analysis would help future researchers and developers target the healthcare sector areas that are likely to grow in the coming future.

The study highlights the potential for ML to enhance medical support within healthcare institutions. It suggests that regression algorithms are particularly promising for this purpose. Hospital management can leverage time series ML algorithms to estimate the number of incoming patients, thus increasing hospital availability and optimizing resource allocation. ML has been instrumental in the development of these systems. By embracing telemedicine and remote monitoring, healthcare management can facilitate the creation of online patient surveillance and monitoring systems, allowing for early medical intervention and ultimately improving the efficiency and effectiveness of medical services.

By offering a comprehensive panorama of ML's integration within healthcare institutions, this study underscores the pivotal role of innovation management in healthcare. The findings contribute to a holistic understanding of ML's applications in healthcare and emphasize their potential to transform and optimize healthcare delivery.

The purpose of this study is to investigate the impact of returnee entrepreneurs’ education and knowledge transfer (KT) on business development (BD) as well as the moderating effect of time living abroad on returnee entrepreneurs.

The quantitative approach was used in this study to grasp and validate the conceptual framework. This research was guided by a positivist survey research technique. A structured questionnaire was used as a data collection tool, and 151 returnee entrepreneurs were involved in the study. SEM with SmartPLS was used as a data analysis tool.

The results of this study show that returnee entrepreneur’s education and KT is positively associated with BD, while the time living abroad was not proved to have a moderation effect on BD.

This study has academic and practical relevance, as it adds new knowledge and a better understanding of the role of returnee entrepreneurs in BD and expands research on returnee entrepreneurs. In terms of practical contributions, this research offers suggestions to governments, policymakers and the business community about the impact of returnee entrepreneurs in the entrepreneurial ecosystems of their home countries.

This study is one of the few studies that have analysed the impact of returnee entrepreneurs’ education and KT on BD by using the survey technique. The results of this empirical research are based on primary data collected via a questionnaire.

The purpose of this paper is to provide a comprehensive framework that identifies thematic clusters and their interconnections within Global Talent Management (GTM), global careers and talent management (TM).

In this paper, this study conducted a co-citation analysis using bibliographic data to unveil the intellectual connections and relationships among thematic articles related to GTM sourced from the Web of Science.

This review highlights three key research themes: experiences working abroad, TM approaches and the complex nature of GTM as a living system.

The main limitation of this research is the sample itself. Content analysis based on the co-citation method resulted in some more recent releases being omitted.

The practical implications of the paper include providing a structured framework for understanding the complexities of GTM.

Research into the academic literature in this area is divided into various clusters, empirically demonstrating how GTM and global mobility are intertwined, revealing the need for us to more thoroughly comprehend the social ramifications of GTM practices and activities and the need to further analyse the influencing social aspects in a GTM strategy, like diversity, increased mobility and virtual reality.

The analysis revealed the emergence of three distinct thematic groups: (1) global work experiences, (2) TM approaches and (3) GTM.

This paper aims to assess gender bias in Italian university student mobility controlling for the field of study. It uses data from the Italian National Student Archive (Anagrafe Nazionale degli Studenti – ANS) for the cohort of freshmen enrolled in the 2017 academic year. The macro-regional comparison unfolds across the following areas: North and Centre, Southern Italy and main Islands (Sicily and Sardinia).

The analysis is firstly carried out at the national level, and secondly, it focusses on macro-geographical areas. University mobility choices are thus investigated from a gender perspective, conditioning upon other theoretically relevant characteristics collected for the prospective first-year university student population enrolled in 2017. The authors analyse data in a regression setting (logit models) within the multilevel framework, which considers students at level 1 and the field of study at level 2. Gender differences in the propensity to be a mover – conditional upon the choice of the field of study – were captured by introducing random intercepts to account for clustering of students in fields of study and random slopes to allow the gender effect to differ among them.

Findings show that university student mobility in Italy leads evidence of gender bias. This has been detected using a multilevel random slope approach that allowed the authors to jointly estimate a slope parameter for gender within each field of study. Moreover, using a regression setting allowed the authors to control for heterogeneity in geographical, educational and socio-demographic characteristics across students. In line with previous empirical findings, the authors' data highlight the presence of a relevant mobility flow of university students from the South toward the North-Centre of Italy and lower mobility of female students compared to male students from the South and Islands.

To the best of the authors' knowledge, there are no studies in Italy, which investigate if families' investment in higher education in terms of selection of no-local universities are affected by gender bias and if geographical differences in this behaviour between macro-areas are in place. Thus, investigating students' choices in tertiary education allows the authors to shed light on the presence of gender bias in families' education strategies addressed to increase the endowment of students' assets for future job opportunities.

This paper aims to explore challenges and opportunities associated with young carers' employment in Australia.

Using a multi-stakeholder approach, this study captures the reflections of stakeholders (n = 8) and young carers (n = 10) about opportunities for, and experiences of, paid employment for young carers.

Despite many organisations internationally increasingly pushing diversity agendas and suggesting a commitment to equal opportunity experiences, this study found that young carers' work opportunities are often disrupted by their caring role. For young carers to be successful in their careers, organisations need to provide further workplace flexibility, and other support is required to attract and retain young carers into organisations and harness their transferrable skills for meaningful careers.

The paper highlights important implications for human resource management practitioners given the need to maximise the participation of young carers as workers, with benefits for young carers themselves, employers and society.

The research adds to the human resource management and work–family conflict literature in examining young carers through drawing on Conservation of Resources theory to highlight resources invested in caring leads to loss of educational and work experience resources. This leads to loss cycles and spirals, which can potentially continue across a lifetime, further contributing to disadvantage and lack of workplace and societal inclusion for this group of young people.

The influx of expatriates to the Gulf Cooperation Council (GCC) countries has led to labor imbalance inducing these countries to initiate workforce nationalization policies. However, despite the policies' emphasis on increasing the presence of nationals in all sectors, employing nationals in the private sector is still a critical challenge for policymakers. This paper explores local job seekers' and employees' perceptions of employment choices in the private and public sectors.

Adopting a qualitative approach, data were collected through in-depth interviews with 28 local job seekers, either not currently employed or employed but seeking another job.

The data revealed a contextualized understanding of positive and negative connotations pertaining to employment in the private and public sectors in Qatar.

Understanding nationals' negative preconceived notions against working in the private sector and the perceived benefits of public sector employment lays the groundwork for developing measures to help policymakers to create labor market-oriented policies that stimulate mobility between the public and private sectors.

This study contributes to the workforce nationalization literature in the GCC countries by examining local job seekers' perceptions associated with employment in the private sector and the public sector. A closer examination of why nationals are hesitant to enter the private sector can propel the pendulum towards higher success rates of workforce nationalization.

This study investigates whether and how place-based industrial relocation policy affects firm innovation.

By exploiting the establishment of China's National Industrial Relocation Demonstration Zones (NIRDZs) as a quasi-natural experiment in a difference-in-differences design, the authors examine the externalities of industrial policies that support sustainable development and growth from the perspectives of firms' patenting activities.

The study consistently finds that the NIRDZs policy significantly boosts local firm innovation, translating into a 60.46% increase in the patent applications of treated firms. The estimation results remain robust to a series of alternative specifications. Moreover, heterogeneity analysis suggests that the firms that benefited most were state-owned enterprises, firms with higher productivity, or firms in non-high-tech industries. Further, the authors find that the NIRDZs policy stimulates firm innovation mainly in the form of utility model patents, followed by designs and invention patents.

The results provide suggestions and implications for policymakers to improve the efficiency of state-led industrial policies and avoid “government failure” in policy implementation.

This study provides suggestions and implications for policymakers to improve the efficiency of state-led industrial policies and avoid “government failure” in the policy implementation.

This study fills the research gap by exploiting quasi-experiments to assess the effectiveness of state-led industrial policies for emerging economies. (2) The analysis sheds empirical light on how corporate innovation is motivated and financed by selective and functional industrial policies. (3) Theoretically, the results rationalize why state-led industrial relocation fuel innovation capabilities of localities from Marshall externalities and competition crowding-out effects.