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An increasing number of international immigrant workers enter the EU labour market to fill the gap in many key economic sectors. Labour migration often implies a process of family adaptation and, in some cases, a breakdown in the community structure and networks. This study aims to provide insights into the dynamics of transnational families, focusing on changes in the redefinition of roles within family members and children care arrangements.

The study was based on the analysis of 12 biographical interviews conducted using semi-structured interviews between November 2018 and December 2019 among Romanian women who worked as caregivers in families in an Italian metropolitan city and the surrounding urban area.

Despite the economic dimension being essential, psychological well-being increasingly burdens workers’ migratory experience and that of their family members. Findings suggest including employers and children among the actively involved actors of the family decision-making process; working and contractual conditions as factors that significantly impact the opportunities and capability of workers to provide and receive care, mainly if the latter are employed in the informal market.

The study makes it possible to highlight that the dynamics in decision-making processes in transnational families change in the different phases of the migration project and involve numerous actors. These processes are not always rational and are strongly influenced by the labour market structure in which migrants are employed.

Migration is on the rise due to globalization and human mobility. This has led to increased impacts that have affected many industries, including the construction industry. A large number of migrants are employed in the construction sector, and employers are challenged to make sure all employees are properly integrated to meet the demands needed for construction projects. This article addresses key differences between migrant and native workers to help hiring departments in the construction industry analyse workers' attitudes based on cultural and motivational factors to have the workforce they need to succeed.

The research used both quantitative and qualitative surveys. A two-part questionnaire, designed through a comprehensive literature review, was carried out to identify key differences between native and migrant workers. The data were obtained and then analysed using different statistical approaches, including factor analysis protocol, factor structure model, reliability analysis, relative importance index and nonparametric test analysis. A semi-structured interview was then conducted to discuss all the findings.

The study indicated that migrant workers, compared to natives, tend to give more importance to their working environment, particularly accommodation, work safety and relations with teammates. Also, migrants typically take a socialistic approach instead of an individual approach while at work and reveal an extensive range of behaviours based on a sense of belonging. It might be more important for migrants to have a place in society, to have a settled life and to be integrated into an established order than to improve their rights and benefits. On the other hand, the study argued that native workers tend to prioritize their benefits at work, such as regular payments for overtime and insurance premiums. Their behaviours might carry a more neutral and individual attitude as well as specific cultural traces.

The study is limited to a sample of participants in the Turkish construction sector. Further research based on more cultural models and motivational factors with a larger group of respondents from different countries could offer better results. The results of the study might not apply to a broad context due to many other factors that affect worker behaviours, such as geography, cultural structures and working conditions. Despite these drawbacks, the present paper may help employers and other stakeholders understand the best way to incorporate migrants into the construction industry.

This research is very important for the construction industry in various countries that are currently employing thousands of migrants. Being able to address the key differences between migrants and native workers based on cultural and motivational factors might help with engagement and create a level of harmony in the field for greater productivity.

The aim of this chapter is to investigate the immigrant women entrepreneurship phenomenon in Italy by focusing on the Polish experience. Stemming from the most current data on immigration in Italy and on immigrant women entrepreneurs and women-led firms, by analysing the regions in which these firms are grounded and the economic sectors in which they are mostly involved, this chapter presents the research programme the two authors of this book have been involved in over the last year and the first preliminary results. Specifically, the two authors engaged to compare the experiences, difficulties and opportunities of immigrant women entrepreneurs of different ethnicities/communities located in Italy. The final goal is to analyse if and how the socio-cultural background of these women counts, if and how it affects their way of doing business and what is the influence of the socio-cultural Italian context. The first group of immigrant women entrepreneurs that the authors decided to analyse are the Polish. Accordingly, this chapter presents data on Polish women entrepreneurs based in Italy and the results of an interview with an expert on this community.

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.

This study explores whether ethnic minorities exhibit varying levels of income inequality compared to the host population.

The research leverages a unique immigration event in Italy, specifically the settlement of multiple Albanian groups in southern Italy during the 16th century. This historical occurrence enables an investigation into the role of cultural traits in income inequality, as these groups are situated in the same geographical region and often share borders.

The results, which remain consistent after undergoing various robustness checks, indicate that Albanian villages, while still preserving their identity and tradition, tend to experience an approximately 2% lower level of income concentration compared to similar Italian municipalities.

Our findings aim to provide supporting evidence for future policy considerations regarding the long-term impact of immigration on income inequality.

The purpose of this study is to address the challenges faced by rural areas and promote their sustainable development. It emphasizes the importance of re-establishing connections and cultivating a sense of belonging within rural communities, while safeguarding their cultural heritage. The study explores the potential of digital and creative tools in enhancing learning, supporting food production and tourism, facilitating research and providing engaging experiences. It also examines the economic condition of rural areas and the potential for their contribution to the national economy. Additionally, the study highlights the significance of sustainable community development, the role of rural areas in resilience and climate change adaptation and the complexities surrounding rural migration. The aim is to provide insights and recommendations for policymakers and stakeholders involved in rural development initiatives, focusing on the Mediterranean region.

This study develops an understanding of the role of digital and creative strategies in rural communities, highlighting their significance in preserving food heritage, culture and community capital while driving economic development. It specifically focuses on the Unesco Intangible Mediterranean Diet (UIMD) as a potential catalyst for regeneration through the integration of creative and digital tools and three cases are presented. The first is the impact of the Future Food Institute (FFI) ecosystem in the Living Lab in Pollica (Salerno, Italy); the second focuses on the digital tools provided by the CKF to support rural areas; and the third is a new identity and promotion of territorial development, co-designed in the Val di Vara (VdV) a rural region of the Ligurian inland in Italy, through digital strategies, heritage preservation and slow tourism development. The three cases highlight different ways of enhancing environmental and cultural heritage and demonstrate how collaborative creativity and digital tools contribute to the co-construction of knowledge and addressing critical issues to promote sustainable growth in rural areas.

The findings of this study indicate that re-establishing connections and fostering a sense of belonging within rural communities is crucial for their sustainable development. The use of digital and creative tools presents significant opportunities in enhancing various aspects such as learning, food production, tourism and research in rural areas. The study also reveals the potential economic contributions of rural areas to the national economy. It emphasizes the importance of sustainable community development and highlights the role of rural areas in resilience and climate change adaptation. Additionally, the study addresses the complexities surrounding rural migration and emphasizes the need for comprehensive policies to ensure the well-being and rights of migrant workers. The insights and recommendations provided in this study aim to guide policymakers and stakeholders involved in rural development initiatives, particularly in the Mediterranean region.

Nonetheless, it is imperative to acknowledge certain limitations within the scope of this study, primarily associated with the specific sample selection, potentially influencing the broader applicability of the findings. There is potential to explore a wider geographic area in future research. Additionally, the research underscores the importance of conducting further inquiries into certain aspects that have received limited attention. Living labs are a relatively recent phenomenon, warranting further in-depth scientific research. Additionally, the existing literature on this subject is often limited in scope.

The study and project aim to illustrate the feasibility of initiating a transformative process, centered on a visionary approach with a core focus on creative knowledge and the Mediterranean diet as a way of life, to revitalize marginalized communities. Furthermore, it seeks to emphasize that these neglected regions possess untapped potential for innovative ideas and opportunities. Rural communities, in their role as farmers of primary goods, are the ones who nurture the environment, and the landscape, and are the true protagonists of every era. Rurality is the place that preserves the most resources and potential in terms of biodiversity and rural knowledge. Every territory, like every human being, has its own characteristics and vocations to pursue. The existing Genius Loci is already an existing value that requires policies and governance to rediscover roots, identity and worth. The stratification of existing collective intelligence must become central and must be individually assessed and enhanced, also taking advantage of new digital technologies.

The social implications of this study are significant. By emphasizing the importance of re-establishing connections and cultivating a sense of belonging within rural communities, the study recognizes the social value of strong community ties. This can lead to increased social cohesion, a sense of identity and improved overall well-being within rural areas. The study also highlights the potential of digital and creative tools in enhancing learning, which can contribute to the empowerment and educational opportunities of individuals in rural communities. Furthermore, by promoting sustainable community development and addressing the complexities surrounding rural migration, the study acknowledges the social impact of inclusive policies that protect the rights and well-being of both local populations and migrant workers. Overall, the study's recommendations have the potential to foster social resilience, equity and a more vibrant social fabric within rural areas.

This study can offer valuable insights and recommendations for policymakers and stakeholders involved in rural development initiatives, particularly those focused on preserving food and cultural heritage in rural areas. By analyzing real-life examples, it bridges the gap between theory and practice, illustrating how these ideas have been effectively applied in specific contexts. This paper emphasizes the potential of the Mediterranean Diet as a sustainable and nutritious model with sociocultural, health, economic and environmental benefits, highlighting the importance of bottom-up approaches that empower local communities as custodians of knowledge and culture. It also provides practical strategies, such as investments in educational programs, the establishment of international campuses and the use of multichannel platforms for immersive experiences, which can be adapted for broader rural development initiatives, promoting sustainability and community engagement.

Forecasting population movement trends is crucial for implementing effective policies to regulate labor force growth and understand demographic changes. Combining migration theory expertise and neural network technology can bring a fresh perspective to international migration forecasting research.

This study proposes a conditional generative adversarial neural network model incorporating the migration knowledge – conditional generative adversarial network (MK-CGAN). By using the migration knowledge to design the parameters, MK-CGAN can effectively address the limited data problem, thereby enhancing the accuracy of migration forecasts.

The model was tested by forecasting migration flows between different countries and had good generalizability and validity. The results are robust as the proposed solutions can achieve lesser mean absolute error, mean squared error, root mean square error, mean absolute percentage error and R² values, reaching 0.9855 compared to long short-term memory (LSTM), gated recurrent unit, generative adversarial network (GAN) and the traditional gravity model.

This study is significant because it demonstrates a highly effective technique for predicting international migration using conditional GANs. By incorporating migration knowledge into our models, we can achieve prediction accuracy, gaining valuable insights into the differences between various model characteristics. We used SHapley Additive exPlanations to enhance our understanding of these differences and provide clear and concise explanations for our model predictions. The results demonstrated the theoretical significance and practical value of the MK-CGAN model in predicting international migration.