Global Labour Market Research Articles

Gen Z’s Digital Literacy in the Development of Proactive Personality: An HR Management Perspective

The digital literacy is required for the efficient functioning of an individual in the digital world. Digital transformation changes people's attitudes and behaviors, strengthening or weakening some of them. The continuous research in this field is justified by the fundamental changes that digitalization is bringing about in the global labor market, professional activities, and work structures. An interesting question is whether digital skills can be helpful in shaping specific attitudes and behaviors of employees as e.g. proactivity. The concept of proactivity is an important phenomenon considered within the framework of corporate entrepreneurship. A proactive organization focuses on seizing opportunities in a competitive market, implementing innovations in practice and managing market expectations. For an organization to be proactive, it is necessary to implement proactivity at all levels of the organizational structure, which may be more effective if we employ employees with a high level of proactive personality. It remains unknown whether digitization is connected with an individual's proactivity. The current study aims to examine the dependency between elements of the digital literacy and the development of proactive personality of young individuals of Gen Z, an attitude that may to emphasize the importance of proactiveness as a desirable feature in the professional life. The research was conducted in the form of a survey using the CAWI method among 370 individuals of Gen Z in Poland in 2024. Regression analysis confirmed a statistically significant dependency between the digital literacy and the proactive personality in the studied group of respondents, however, not all predictors within the model have a positive dependency with the proactive personality. The main limitations of the study are visible in not fully representativeness of the research group, and hence the inability to generalize the conclusions and make certain assumptions regarding the probable use of a proactive personality in the workplace.

Technological Unemployment in Terms of Global Labor Market Imbalances: A Bibliometric Analysis

The current society, known as the supersmart society or Society 5.0, emerged in response to the Fourth Industrial Revolution. also known as Industry 4.0 (I4.0), which arose with the development of different technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and Big Data Analytics (BDA), among others. Based on the report “Future of Jobs Report 2023” the most affectin g macro trend in driving business transformation is the increased adoption of new and frontier technologies with an 86.2% rate. I4.0 significantly changed production processes and manufacturing systems, transforming firms into smart factories. One of the consequences of the I4.0 revolution is technological unemployment (TU). This paper aims to conduct a comprehensive evaluation of the literature on Industry 4.0 (I4.0) and Technological Unemployment (TU) within the 2015-2024 timeframe, with a particular focus on their impact on labor market imbalances (LMI). Through a bibliometric analysis, the study will assess performance metrics, including the publication and citation performance of authors, institutions, countries, and journals. Additionally, the research will visualize and critically examine bibliometric citation outcomes, including cited references. To achieve this, we adopted a quantitative approach and employed a confirmatory-explicative research method to elucidate Technological Unemployment (TU) within the context of Industry 4.0 (I4.0) transformations and confirm its implications on Labor Market Imbalances (LMI). Bibliometric analysis was used to discern data patterns, trends, and relationships within the literature. Our findings revealed several significant trends, notably job polarization, income inequality, and TU. We determined that the effects of I4.0 on employment are not universally negative; in some cases, technological investments enhance employment rates by creating new professions and job opportunities. Our analysis also indicated that occupations requiring human judgment, decision-making, creativity, and innovation exhibit resilience to technological advancements.

Gig Workers: A Comprehensive Analysis of the Rise, Challenges, and Future of the Gig Economy

The gig economy, defined by temporary contracts, freelance employment, and independent contracting, has seen substantial growth in the global labour market during the last twenty years. Gig workers function independently of conventional full-time employment, enjoying flexibility but sometimes missing access to benefits like job security, healthcare, and retirement plans. This study examines the evolution of the gig economy, analysing the many forms of gig employment, its catalysts, the influence of technology, and its consequences for both workers and employers. The analysis will address the issues encountered by gig workers, such as economic volatility, insufficient legal safeguards, and the ambiguity of employer-employee dynamics. The study will analyse worldwide reactions, regulatory patterns, and the future direction of gig employment considering governmental changes and technology improvements.

READINESS OF MIGRANTS FROM UKRAINE FOR SOCIAL RISKS

The article aims to research the readiness of migrants from Ukraine to social challenges abroad. Research methods: analysis and generalization of literature and sociological research and theoretical generalization. The high rate of uncertainty avoidance and slow feedback to the employer show us that most migrants from Ukraine belong to the administrative type of organizational culture. The peculiarities of the organizational culture of migrants can lead to the fact that they can face significant social risks, namely the risk of being in the second or third sector of the global labor market. It also leads to a loss of competence and initiative, self-confidence, the ability to make decisions, seek and use feedback from the environment in the host countries, and the threat of "brain waste". Willingness to take risks among Ukrainian youth shows a consistently low rating against the background of the growing desire for material values. Risk readiness of the older generation among migrants from Ukraine practically does not differ from risk readiness among young people. The shares of migrants of both age groups who risked working abroad in the absence of any agreement are almost the same. This completely distinguishes them from young people abroad, who, according to surveys, are almost 100% ready to take risks. So, we can say that the competitiveness of young migrants from Ukraine is not enough for their status as "missionaries of market ideas". Moreover, the main source of resistance is the reluctance to take risks and the fear of private defeat. Rejection of risks in itself represents the most dangerous risk of building a non-market Ukraine.

Informal employment: research and evaluation methods

The article examines various approaches to studying new forms of informal employment, including unofficial employment and entrepreneurial activities. The main goal of the work is to explore diverse methods that can be applied to achieve a more accurate assessment of informal employment and the contribution of the informal sector to the economy, including its impact on economic and social indicators. During the COVID and post-COVID periods, the global financial crisis intensified, necessitating an examination of the current situation not only in the global labor market but also in Kazakhstan. The labor market has always been and will remain sensitive to the state of the economy, significantly affecting both employers and employees. The strengths and weaknesses of applying a range of methods, identifying methodological approaches to the application and systematization of tools to improve the quality of work in the informal sector were analysed. Problems connected with evaluation of informal employment were discussed such as assess to different types of data, identifying boundaries of informal sector and different methodological limitations. The conclusions and obtained results can form a scientific basis for further research and assessment of informal employment, contributing to the adoption of more effective measures at the state level to support the informal sector of the economy in various countries, including our republic. To obtain more accurate results in assessing the volumes of informal employment, it is necessary to use a combination of existing scientific and practical methods, taking into account the specificities of each country, undoubtedly enhancing the efficiency and accuracy of the results obtained.

Malaysian Community College Graduates Employability Prediction Model Using Machine Learning Approach

Community College, as TVET institution under the Ministry of Higher Education, offers industry-relevant skills training to ensure graduates' employability in the global labor market. However, producing graduates who meet industry demands remains a challenge, and industries continue to face difficulties in obtaining skilled graduates. In Malaysia, there is limited research on predictive models for employability rates among graduates of TVET Malaysian institutions. This research utilizes Python to investigate the significant factors influencing employability among Malaysian Community College graduates, determined by a specific indicator of whether they will be employed. Our contribution lies in developing an accurate employability prediction model using machine learning algorithms such as Logistic Regression, Neural Networks, and Random Forest. The dataset used consisted of 10,427 instances and 14 attributes, from which six significant factors were identified. Among the models, Random Forest outperformed the other machine learning models, and hyperparameter tuning using RandomizedSearch further improved the accuracy of the model to 84.8%. This study aims to identify the most accurate and interpretable model, providing valuable insights for educational institutions to enhance their employability strategies.

The internationalization of China's vocational education: Value implications, practices and planning

The internationalization of vocational education is essential for cultivating high-quality talents that meet international standards, enhance the national educational level, and increase international competitiveness, all contributing to the goal of transforming a country into an educational powerhouse. To establish itself as a leader in education, a country has to fully comprehend the implications of internationalizing vocational education, taking into account the global labor market, diplomatic relations, and the evolution of vocational education. These goals can be achieved by analyzing collaborative educational programs, the status of its vocational education in the international context, and the methods employed internationally to develop vocational education. Strategies should include integrating national interests, fostering collaborative initiatives, and utilizing digital technology. In the case of China, such an approach will enhance China's global competitiveness, facilitate the spread of Chinese culture, strengthen the country's international partnerships, and increase its global influence and standing.

Support for universal basic income: A cross-disciplinary literature review

The technological development and the rise of artificial intelligence are driving a significant transformation of the labor market. The technological unemployment predicted by Keynes poses challenges for the global labor market that require new solutions. Basic income research has become a significant field of study, attracting attention from various disciplines such as political science, law, economics, and sociology. The aim of this paper is to explore on the basis of a literature review, what factors influence the support for basic income among the population. A systematic literature review based on the Web of Science and Scopus databases, after screening 2623 publications, identified 23 articles that contained findings relevant to the research question. A significant number of authors (12/23) analyzed data from the same source, the European Social Survey 2016 (ESS Round 8, 2020), conducted in 2016, first published in 2017 and updated several times since then. The paper shows that the study of the topic has a strong European focus. The social, economic, social and cultural diversity of European countries makes these studies important from a European and EU perspective, but from an international perspective, further research on the topic is needed.

Labor market dynamics in developing countries: analysis of employment transformation at the macro-level

Understanding labor market dynamics remains a pivotal aspect within contemporary economic discourse, as necessitates the pursuit of effective employment models to ensure steady progress in the conditions of changes in the economic structure. The aim of the research is to examine the dynamics of the labor market in developing countries, with particular emphasis on China and Kazakhstan, taking into account economic, social, and technological trends. The methodology includes the analytic and comparison of trends in the labor market in developing countries, such as China and Kazakhstan over the past 20 years, and also monitoring the socio-economic nature of the labor process. The study identified changes in the labor market and provided empirical evidence for new forms of employment, utilizing comparative analysis and data visualization of the sectoral structure of the economy and global labor market trends up to 2027. The obtained results provide three main conclusions: a decrease in demand for low-skilled workers and an increase in demand for highly qualified individuals; the emergence of jobs with low levels of social protection; new forms of employment-oriented towards workers outside the social security system, domestic workers, and self-employed individuals. These types of employment can fill jobs in platform and piecework economies, cooperativism, and the sharing economy, which allows employers in developing markets to optimize employment. The findings of the study can contribute to understanding the functioning of the labor market in developing countries including the development of small and medium-sized businesses, startups, and innovative projects, and may be applicable in the development of economic and social policies for sustainable economic growth and social stability.

Modern Specialist Training Within the Context of the Problem-Based and Informational Approach (Exemplified by Teaching a Foreign Language)

Today’s challenges modern society deal with require the use of an international language to solve problems of an economic, political, scientific, academic, and sociocultural nature. The authors highlight the importance of a foreign language knowledge emphasizing its additional resources for the professional development of future specialists. The paper subject is the process of foreign language teaching within the frame of a problem-based and informational approach while training university students. The authors look at the process of foreign language mastering at different education levels and analyze the components of the discipline work programs such as “Foreign Language”, Foreign Language in Professional Sphere”, “Foreign Language for Scientific Communication”. The paper theoretical significance is presented by the analysis of the basic concepts of problem-based learning and its importance not only for the successful mastering of a foreign language, but also for the successful vocational training of future specialists who meet all the requirements of the global labor market. The authors also substantiate the relevance of foreign language training for students in the frame of the problem-based and informational approach, and also present the specifics of its implementation. The practical significance of the work is demonstrated by the series of problem-based tasks using different models of problem-based situations for teaching foreign language reading and listening. According to the researchers, such tasks can be used both for developing a foreign language communicative competence and professional qualities of future specialists who have creative thinking and are able to cope with any problems in various non-standard situations in different spheres of human activity.

On the up and up: the job mobility of skilled return migrants

Abstract This paper examines the labor market incorporation of skilled Indian migrants returning home after working in the United States. I analyze a novel dataset of 7,177 time-varying transnational employment histories from LinkedIn using logistic regression and survival analysis. I find that skilled Indian migrants experience occupational upgrades when re-entering their home labor market, buoyed by foreign human capital and compensating for US legal status restrictions. While immigrants often face initial occupational downgrades and job mobility constraints in foreign labor markets, return migrants experience stability, promotions and accelerated rates of job mobility at home. The paper contributes to the literature on return migration, a significant but understudied dimension of international migration due to data constraints. I offer LinkedIn employment histories as digital data source to address these limitations and leverage their rich spatio-temporal information. These data help expand prior research on return migrant wages to broader questions about transnational migrant career trajectories. The findings shed light into where high-demand migrants might maximize their career growth, and have implications for understanding the policies shaping the recruitment and retention of skilled workers in the global labor market.

Harmonizing Code and Canvas: The Role of Generative AI in Aesthetic Education for Vocational Students

This paper delves into the pivotal role of generative artificial intelligence (AI) within vocational aesthetic education, specifically focusing on its capacity to augment artistic expression and cultivate technical proficiency. As AI undergoes continuous evolution, it catalyzes significant transformations in educational paradigms by amalgamating creativity with digital acumen, thereby equipping the workforce with adeptness in navigating technologically driven landscapes. The study critically examines how AI reconfigures educational frameworks, enriching learning experiences through tailored, collaborative, and globally oriented approaches. Additionally, it scrutinizes the ethical, pragmatic, and pedagogical hurdles intrinsic to AI integration, encompassing concerns such as data privacy, bias mitigation, and the imperative for perpetual curriculum innovation and educator empowerment. The findings underscore that the realization of AI’s potential in advancing vocational aesthetic education hinges upon strategic deployment, ongoing evaluation, and inclusive discourse among all educational stakeholders, ensuring alignment with educational objectives and responsiveness to global labor market exigencies. This analysis underscores AI’s capacity to optimize educational outcomes and equip students for a multifaceted and evolving future, advocating for proactive and inclusive strategies to harness AI’s advantages within educational milieus.

A study of the peculiarities of freelance activity of the Russian population on online labor market platforms

The relevance of the study is determined by the emergence and consolidation of new trends in the implementation of labor activity of the population in the context of digitalization and new challenges, as well as the need for their comprehensive study.The purpose of the study is to study the peculiarities of freelance activity of the Russian population on online labor market platforms, as well as to identify a set of measures necessary to obtain benefits from the implementation of this type of activity in order to stabilize the labor market during a period of change and reduce social tension.The objectives of the study are related to the analysis of supply and demand for the services of Russian freelancers on international online labor market platforms, including by comparing its positions with other countries; identifying measures to optimize the activities of online freelancers and stabilize the labor market during the period of change.Methodology. The research was implemented using the method of collecting information from open Internet sources, tabular and graphical methods, the method of economic analysis, analysis and synthesis, systematization, comparison, logical method and systematic approach.Results. It is determined that the freelance activity of the Russian population in the online format has great growth potential. The prerequisites for the development of online freelancing are highlighted, as well as the motives for Russian specialists entering the digital platforms of the global labor market. The analysis of the supply and demand of online freelancers on the largest online employment platforms in the period 2017-2022 was carried out. The specifics of Russia are revealed in comparison with the trends typical for China, India, Germany, Great Britain and the USA.Conclusion. The conclusion is made about the high activity of Russian freelancers on the online platforms of the global labor market, about the predominantly growing dynamics of this market segment, as well as about the existing restrictions in this area, which can be overcome by greater support from the state.

The Role of Labour Market Intermediaries for Migrant Workers in Global Production Networks: The Example of Filipino Migrant Workers in the Taiwanese Semiconductor Industry

ABSTRACTThis article contributes to the literature at the intersection of migration and global production networks (GPNs) by examining the role of labour market intermediaries (LMIs) for migrant workers. It demonstrates mediation processes by LMIs and elaborates on migration networks in the global labour market through qualitative and quantitative data. It examines the role of LMIs in responding to mechanisms in GPN, including zero inventory and just‐in‐time production, and the impact of private employment agents on migrant workers, particularly on their career paths. The article found that LMIs play an active role in the mediation and cooperation between migrant labour and firms and in shaping structural conditions for migrant workers in response to global competitive pressures. However, LMIs play a controversial role in social upgrading. Private LMIs are identified as having a negative impact on career paths of migrant workers.

Unveiling the Employability Landscape: Chinese International Doctoral Students in Malaysian Universities

Malaysia has been actively striving to establish itself as an international education hub, and has successfully attracted a significant influx of Chinese international students pursuing their doctoral degrees. However, doubts persist regarding the quality of Malaysia’s higher education and the employability of its graduates, particularly when viewed through the lens of stakeholders in China’s labour market. This research sought to address these concerns by delving into the essential graduate attributes highly regarded by Chinese doctoral students enrolled in Malaysian universities and identifying aspects of Malaysian higher education that might influence students’ employability. Employing a qualitative approach, the research underscores the significance of various types of capital, with a considerable emphasis on human capital, encompassing academic qualifications, research competence, and English proficiency. Additionally, it sheds light on the pivotal role of quality research supervision, the availability of continuous training opportunities and psychological support within the programme, and the degree of collaboration between Malaysian universities and Chinese industry as factors critically impacting the participants’ perceived employability. These findings aim to offer essential guidance for educational institutions and policymakers in aligning academic programmes with the evolving demands of the global labour market.

ТРАНСФОРМАЦІЙНІ ЗМІНИ НА РИНКУ ПРАЦІ УКРАЇНИ В УМОВАХ ВОЄННОГО СТАНУ: ТЕНДЕНЦІЇ ТА ВИКЛИКИ

The state and dynamics of changes in the labor market of Ukraine, caused by the conditions of martial law in Ukraine, require prompt monitoring and their consideration when developing modernization programs focused on the needs of the recovery of the national economy, the priorities of the country's integration into the European Union, taking into account the trends in the functioning of the global labor market. The purpose of the article is to monitor transformational changes in the labor market of Ukraine under martial law. The subject of the study is the trends and challenges of the labor market of Ukraine. Research methods: analysis and synthesis, comparison, grouping and analogies, deduction. The hypothesis of the study is that the effectiveness of the modernization mechanism of the further functioning of the labor market depends on the scale and direction of the trends of transformational changes, which are reflected in the trends and challenges that have a high specific capacity of behavioral aspects. Presenting main material. The article identifies the reasons for the significant increase in the imbalance in the functioning of the labor market, which mainly occurred due to the mass migration of the population and the relocation of enterprises from the occupied territories to the western and central regions of the country, but at the same time, employers feel the presence of personnel hunger, which they seek to cover with little competition in pay labor. It has been established that, in general, the type of labor market functioning with a shortage of qualified personnel persists. The conducted analysis made it possible to determine relevant processes for the wartime functioning of the labor market of Ukraine, which consist in a significant reduction in employment; changes in the structure of the country's labor potential due to the large-scale internal and external migration of the population and the increase of internally displaced persons in the structure of the labor force supply; dissatisfaction with the needs of the working population; activation of mobilization processes provoked negative dynamics of informal employment; manifestations of differentiation in the level of wages and job offers regionally and by gender. Originality and practical significance of the research. The practical value of the research lies in the fact that the obtained results allow to objectify the processes of transformational changes in the labor market of Ukraine in wartime conditions, to characterize the current and prospective challenges of its functioning in the system of the national economy. Research conclusions. The impact of war events on the country's national economy was primarily reflected in the reduction of production capabilities, changes in the structure of the available labor force, the destruction of enterprises, the deterioration of the dynamics of the functioning of the labor market, and the crisis-related deterioration of the regulatory mechanism of labor market institutions. In the context of research perspectives, the monitoring of the consequences of martial law for social and economic spheres, providing spheres of human capital development, market relations, internal and external policy of the state remains an important operational task. In further investigations, the identified threats and risks can be used to develop programs for regulating processes and resources in the labor market.

INFORMATION AND ANALYTICAL SUPPORT AND TOOLS FOR ASSESSING EMPLOYEE LOYALTY IN ENTERPRISES

In the context of increasing competition and dynamic changes in the global economy, employee loyalty emerges as a key factor for the stability and success of enterprises. A high level of employee loyalty correlates with increased productivity, optimized costs for recruiting and adapting new employees, and the strengthening of the company’s positive image. Therefore, the development and implementation of effective methods for assessing loyalty is an urgent need for businesses. This study aims to systematize and analyze modern tools and methodologies for evaluating employee loyalty, identifying their effectiveness and features of application in various conditions and cultural contexts. The research is based on a survey of 525 employees of Ukrainian enterprises using Google Forms in two stages. Methods of questionnaires, interviews, statistical and content analysis were used. The research results confirmed the significance of integrating different assessment methods: from traditional surveys to modern analytical tools. It was shown that the automation of data collection and analysis significantly increases the accuracy of assessments and allows for the identification of deep patterns in employee behavior. The positive impact of corporate social responsibility on employee loyalty was also noted. For further development in this field, it is important to explore the impact of digitalization on loyalty assessment processes, particularly through the integration of artificial intelligence and machine learning. Additionally, it is necessary to study the intercultural aspects of assessment methods and adapt them to the needs of the globalized labor market. The importance of researching hybrid and remote work forms, as well as studying the social and psychological factors that influence employee loyalty, deserves special attention.

Современные тенденции и перспективы развития российского рынка труда

The labor market is a system of social relations that ensures normal reproduction and efficient use of labor. Modern trends, reflecting the demographic situation, technological development, as well as political factors transforming objective social reality, inevitably influence the development of labor markets, which determines the need for research in this area and its relevance. The paper provides an overview of the current situation on the global labor market and directly in the Russian Federation, highlights the main indicators, identifies the leading trends.

The Global Care Chain: Analyzing the Increasing Feminization of Care Work Across Borders

With the rise in globalization, there has been an increase in migration, specifically labor migration. Women migrating to perform care labor has exploded after women formally entered the global labor market. Although many female migrants are independently traveling as the primary breadwinners of their households, they remain underappreciated, invisible, under-waged, and exploited. Upon relocating from countries in the global south to conduct care work in more affluent nations or communities, they leave their dependents behind, ultimately in the care of another female, typically a family member, or yet another more impoverished woman. At this point, the global care chain is not a single, linear chain but rather an intersecting one composed of numerous chains that multiple women become a part of. Therefore these intersections between the public and private, the paid and unpaid, and the productive and reproductive forms of care work are present. In addition, although globalization and neoliberal policy have benefited <i>some</i> women globally, it has dramatically made women who migrate for global care work and labor suffer. When women migrate, the global care chain often becomes an entire phenomenon through which many things intersect. On the one hand, we witness capitalism, feminization of migration, globalization, and neoliberalism interacting while also intersecting with care, emotional work, and gender relations. The goal of this paper is to examine and connect the intersectional effects on women by examining global care work in Asia and Latin America. In addition, we ask the following questions: How can we create change so that women's work is no longer invisible? How can we build a society where individuals are esteemed not just on monetized work but also on reproductive work? Will reproductive labor ever be considered labor? And finally, we will propose some preliminary solutions to begin framing steps forward.

Mapping soft skills and further research directions for higher education: a bibliometric approach with structural topic modelling

ABSTRACT The global landscape and labour market are rapidly evolving in the twenty-first century, requiring individuals to adapt flexibly to new situations. Soft skills, such as problem-solving and communication skills, are becoming increasingly important for preparing students in higher education for future job opportunities. We conducted a bibliometric analysis of 4,358 research studies with the aim of guiding future research and practice. We sought to answer the following research question: What research themes involving soft skills are discussed in the literature, and what further research avenues can inform us about teaching soft skills? Given the interdisciplinary, cross-cutting nature of soft skills, we analysed research from various fields to uncover the relevance of and relationships among different soft skill topics and to identify which soft skill topics are particularly important in higher education settings. To help researchers develop a holistic approach to soft skills education, we provide a summary of existing soft skills research and identify directions for future research. In addition, we outline the evolution of keyword clusters to illuminate the future directions. This approach facilitates a deeper and more nuanced exploration of the relevant concepts. Our research supports practitioners and fosters a better understanding of the meaning of soft skills and how they can be taught in higher education, especially in digital environments.