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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.

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.

The study aims to investigate the impact of highly skilled emigration from Greece on the innovation performance of the Greek economy.

The study draws on a new, census-scale, database that includes all the Greek Ph.D. holders and on statistical information pooled from various secondary sources.

The mass emigration of highly educated Greek scientists that was exacerbated during the ten-year recession has had detrimental effects on Greece's innovation performance. Specifically, an increase in the number of highly skilled emigrants has a negative impact on scientific citations and on patent applications during the following year. An instrumental variable approach based on gravity model literature is employed to test the authors’ findings. The potential effects of these findings and policy suggestions are also discussed.

The study enriches the academic and policy discussion on the science and technology–related consequences of brain drain on the origin country. This is the first study that focuses on Greece – the country which experienced the highest emigration rates within the EU during the severe ten-year economic crisis – and sheds light on the impact of skilled emigration on its innovation performance.

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.

This chapter aims to discuss the challenges facing these countries building productive capacity for development. This chapter makes use of data published by international organizations as indicators for measuring the state of development in the Arab region. Several indicators are presented to compare Arab countries with other world regions. The use of data identifies some of the gaps that countries in the Arab region need to close to strengthen capacity building for development and fostering economic growth. The findings from the data presented reveal that the productive structure in most Arab countries remains weak to generate production linkages and provide incentives for investment in nonenergy sectors. The failure of the export-led growth model to diversify output and promote development in energy producing countries has increased the dependence of these countries on global trade. Fluctuations in commodity prices and uncertainty about global demand for energy have influenced the ability of the state to construct strategies for rapid transformation. Except for the energy sector, the productivity of nonoil sectors remains low reflecting inadequate incentives and ineffective entrepreneurial capabilities. The study examines the challenges for building productive capacity in the Arab world. It illustrates the failure of the led-export model and its inability to prompted economic diversification, especially in the Gulf countries. The study contributes to the literature on capacity building in the Arab world so that to encourage researchers and students of development conducting studies concerning the main development challenges facing these countries.

This paper contributes to the development of an enhanced understanding of the breakout strategies of immigrant entrepreneurs within a transnational context. It develops a dynamic notion of breakout by placing it within a wider understanding of immigrant entrepreneurial strategy characterised by multifocal embeddedness within transnational space.

This study adopted a qualitative research methodological approach. In-depth interviews were completed with 30 first- and second-generation UK-based Nigerian entrepreneurs and key informants, to provide data on business growth strategies of individual immigrant entrepreneurs in the context of opportunity structures across host, home and third countries.

Nigerian immigrant entrepreneurs adopted distinctive entrepreneurial strategies related to the complex and diverse transnational context within which they were embedded. Findings demonstrated how the realisation of diversification and differentiation strategies was particularly influenced by locational and spatial strategies, the specific contextual embeddedness of the entrepreneur and generational differences across entrepreneurs.

Conceptualising immigrant entrepreneurship from a standpoint of transnational, multifocal embeddedness produces a complex and multi-layered understanding of business breakout as a dynamic process. Drawing together the unifocal, bifocal and multifocal dimensions of embeddedness with findings on the breakout strategies being pursued by immigrant entrepreneurs, an original typology is presented which identifies different approaches to breakout across varied contexts. This has significant policy and practice implications for the content, targeting and access of business support and wider social issues, relating to the identities, social mobility and integration of immigrant entrepreneurs.

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.