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The purpose of this study is to explore the degree of variance in work value preferences espoused by university students based on whether the students are in possession of work experience and experience abroad. Vocational identity development (VID) was used as a theoretical lens to explore the extent to which being in possession of experience in these two areas shapes vocational identity.

A questionnaire (n = 1,188) was employed to measure the relative salience for 8 latent work values constructs and 25 individual-level work values. Respondents were classified into two groups based on work experience and abroad experience, and the differences in work value preferences between these groups were explored.

The authors' comparison of sample groups revealed that respondents without experience abroad attached significantly greater importance to specific work values (e.g. stability, extrinsic motivation and leisure) than those with sojourner experience. The relative salience of specific work values (e.g. altruistic and extrinsic motivation) was found to be significantly greater for respondents without work experience than those with such experience, however, not to the extent of abroad experience. VID as a theoretical framework was found to be valuable in conceptualising how work value preferences appear to be the outcome of a process of co-construction between an individual and his environment.

The reasons as to how and why changes in work value salience occur cannot be conclusively established due to the exploratory nature and conceptual design of the present study.

The findings suggest work and abroad experience play a pivotal role in shaping respondents' work values and, more generally, the VID. This reinforces the need for cooperation between higher education and industry to provide experiential learning opportunities and career guidance to enhance graduate employability and contribute to long-term engagement of talent in tight labour markets.

The value of these findings is that the findings contribute to greater conceptual understanding of the relationship between work experience, abroad experience and work value preferences. This is particularly relevant to academic staff and curriculum developers at a tertiary level in preparing and guiding university students in their interactions with professional practice.

The purpose of this paper is to investigate self-competence—the ability to act responsibly on one's own—and likely nonlinear wage returns across different levels of self-competence as part of training curricula.

The authors identify the teaching of self-competence at the occupational level by applying machine-learning methods to the texts of occupational training curricula. Defining three levels of self-competence (high, medium, and low) and using individual labor market data, the authors examine nonlinearities in wage returns to different levels of self-competence.

The authors find nonlinear returns to teaching self-competence: a medium level of self-competence taught in an occupation has the largest wage returns compared to low or high levels. However, in occupations with a high cognitive requirement profile, a high level of self-competence generates positive wage returns.

This paper first adds to research on the importance of teaching noncognitive skills for economic outcomes, which recently—in addition to personality traits research—has primarily focused on social skills by introducing self-competence as another largely unexplored but important noncognitive skill. Second, the paper studies not only average but also nonlinear wage returns, showing that the right level of self-competence is crucial, i.e. neither teaching too little nor too much self-competence provides favorable returns because of trade-offs with other skills (e.g. technical or professional skills). Third, the paper also examines complementarities between cognitive skills and noncognitive skills, again pointing toward nonlinear returns, i.e. only in occupations with a high cognitive requirement profile, high levels of self-competence generate positive wage returns.

Our work adds to the debate regarding higher education graduates’ skills required in the labour market in Germany and beyond.

Using Q-methodology and the accompanying narrations, we explore German employers’ and employees’ views (N = 26) on characteristics required at the entry level.

Our findings show three areas of the labour market with different skill requirements. Whereas the first area, “The world of rules”, applies more likely to the professions and academia, the two other areas, “The middle field” and “The people-oriented and critical market”, can be found throughout the labour market. The disciplinary affiliation does not play a role. In all three areas, soft skills are crucial and specialised knowledge is only highly valued in the area of “The world of rules”.

In contrast to previous findings, we do not focus on singular skills. Instead, we focus on skill sets and discuss their relevance from the background of their usability.

The United Nations Industrial Development Organization (UNIDO) (2017, pp. 14–15) identified that “industrialization is the seedbed for entrepreneurship, business investment, technological progress, the upgrading of skills, and the creation of decent jobs.” This placed studying different industrial sectors and their respective clusters, which are key drivers for economy, innovation, and knowledge creation (Slaper, Harmon, & Rubin, 2018), at the forefront of research. This chapter tackles the automobile industrial cluster in Egypt that possesses promising potential yet faces some challenges. It aims to provide an overview of the cluster, alongside underpinning its strengths and obstacles facing it. Moreover, the chapter displays the importance of the labor dimension in increasing the labor competitiveness of the cluster and showcases this through two cases of German automobile manufacturers that pioneered in venturing into the market through employing technical and vocational education and training. In conclusion, recommendations are provided to help in steering the cluster toward success.

The authors provide a novel interpretation of the relationship between skill demand and labour market concentration based on the training rationale.

The authors use a novel data set on Italian online job vacancies during 2013–2018 to analyse the relationship between labour market concentration and employers' skill demand. The authors construct measures of market concentration and skill intensity in the local labour market. The authors regress the measures of skill demand on market concentration, controlling for sector, occupations and other features of the labour market. The authors also use the Hausman–Nevo instrument for market concentration.

The authors show that employers in a highly concentrated labour market demand competencies associated with the ability of workers to learn faster (e.g. social skills) rather than actual knowledge. They also require less experience but higher education. These results are consistent with the hypothesis that employers in more concentrated labour markets are more prone to train their employees. Instead of looking for workers who already have job-specific skills, they look for workers who can acquire them faster and efficiently. The authors provide a theoretical framework within which to analyse these aspects as well as providing a test for the relevant hypotheses.

In addition to cross-countries differences in labour market regulations, the authors' findings suggest that policy authorities should consider the local labour market structure when studying workforce development programmes aimed at bridging the skill gap of displaced workers. Moreover, the authors show that market concentration can have relevant implications for human resource (HR) managers by affecting their recruitment behaviour through the demand for skills. In fact, concentrated markets tend to favour firms' collusion and anti-competitive behaviour that could strongly affect HR management practices.

The authors' paper innovates on the literature in a number of ways. First, the authors provide evidence of local labour market concentration in Italy. Second, the authors provide evidence of skill demand at the local level using a detailed skill taxonomy that goes beyond the classical distinction between high and low skills. Third, and most importantly, the authors provide evidence of the relationship between skill demand and labour market concentration. By analysing detailed skills and competencies, the authors take one step beyond understanding the features of labour demand in monopsonistic markets.

The purpose of this study is to investigate the differences between labour market requirements in the United Arab Emirates (UAE) in the 21st century and university graduates’ level of knowledge, skills and aspects of competence (KSAs) qualification benchmark.

The study used a discourse analysis methodology, which is a qualitative and interpretive method of analysing texts. The content for the analysis was extracted from Scopus, Ebscohost, Proquest, Google Scholar, Web of Science, news, publications, thesis papers, dissertations and other research papers. A narrative approach for analysing the content was adopted.

The findings reveal that new graduates often encounter difficulties in searching for jobs due to a lack of awareness of how to conduct an employment search that best aligns their KSA with the requirements and needs of the labour market. The study concludes that to increase the employability of graduates, higher education institutions should reduce the KSAs gap by collaborating with the private sector and providing students with relevant, industry-based job experience before graduation.

This study investigates the gap between graduate KSAs and labour market requirements in the 21st-century UAE. The findings of the study encapsulate the weaknesses and shortcomings of the current educational systems amid the reform agenda in the UAE. It also deliberates upon the state-of-the-art recommendations regarding making the country a knowledge-based economy and society.

There is growing empirical evidence that firm heterogeneity is technologically non-neutral. This chapter extends the Gandhi, Navarro, and Rivers (2020) proxy variable framework for structurally identifying production functions to a more general case when latent firm productivity is multi-dimensional, with both factor-neutral and (biased) factor-augmenting components. Unlike alternative methodologies, the proposed model can be identified under weaker data requirements, notably, without relying on the typically unavailable cross-sectional variation in input prices for instrumentation. When markets are perfectly competitive, point identification is achieved by leveraging the information contained in static optimality conditions, effectively adopting a system-of-equations approach. It is also shown how one can partially identify the non-neutral production technology in the traditional proxy variable framework when firms have market power.

Purpose: This chapter explores the changing global dynamics of employability and the current skill gaps among college students. Employability is defined as the measure of how desirable an individual is in the workforce, that is, their skills and knowledge. This chapter is centred on the students’ existing skills, missing skills, and the skill requirements of different industries.

Methodology: For this study, both primary and secondary data have been collected. Case studies have been used to analyse the skill gaps among students and industry requirements. Primary data has been collected from Indian students and case studies from other countries.

Findings: After conducting primary surveys and analysing case studies, we were able to conclude that there are serious skill gaps among students – especially in industries related to new emerging technologies. Educational institutes are not keeping pace with technological changes, and, in some cases, are not taking care of students’ interests. This is a serious problem for unemployed youth around the world.

Practical Implications: This chapter will help design the curriculum, addressing core issues of skill shortages in the labour market in developing and underdeveloped countries, decreasing the labour shortage and increasing employment, and helping countries’ national income.

Significance: This study is important as it addresses the issue of unemployment by providing a clear understanding of the present needs of industries. Educational institutions and the government will be able to design the best curriculum and education policies to provide the youth with all the necessary skills to help them fulfil the needs of industries.

Purpose: This chapter addresses the skills shortages in Kosovo’s labour market, emphasising the service sector. The labour market economy is very dynamic, and Kosovo, with the youngest population in Europe, also has the highest unemployment level among youths. Therefore, we aim to analyse the mismatches of the skills demand in the labour market.

Methodology: The scientific methods used in this chapter are quantitative methods applying analytical and critical approaches based on economic theory. In this chapter, we analysed secondary data from Labour Force Surveys (LFS) and official reports such as the World Bank and UNDP. We have also conducted primary research with the employees of SMEs in the service sector, with specifically related questionnaires for descriptive issues.

Findings: The logit model used in this research has shown goodness of fit and yielded significant results. Based on the empirical findings, we have found a need for some main soft skills such as communication skills, language skills, ICT skills, and additional training to help gain employability skills. These findings suggest that there is a need for more skills in the service sector, significantly impacting the employees’ job performance and the job seeker’s level of employability.

Significance: Noticeably, countries that are still in the transition process face inequalities in the labour market and have a very high level of unemployment. The findings can be used in analysing demand-side management of the labour market and mismatching of skills in transition economies by policy makers.

This paper analyzes how a national social enterprise policy encourages the social missions of social enterprises and uncovers the relationships between social enterprise governance and labor equity, an area that has been rarely studied in nonprofit governance studies.

The study analyzes the effects of four legal requirements for work-integrated social enterprises (WISEs) codified by the Social Enterprises Promotion Act (SEPA, 2007) in South Korea. Then, it relies on panel regression analysis (2020–2022) to examine how the compositions of the governance of WISEs are related to their hiring and wage equity.

The institutional arrangements required by SEPA have resulted in positive social impacts for most WISEs. However, the results of regression models show that individual participant groups in the WISE governance achieved mixed results depending on the labor issue.

Generally, this research explores the concept of diversity and its utility in nonprofit governance, with a particular focus on targeted diversity policies, demonstrating that governance arrangements influence the success of these policies.

The findings bring new insights for policymakers about “altruistic economic entities.” For practitioners in social enterprises, the results of the regression models underscore the importance of understanding the participant composition of decision-making meetings.

This study sheds light on labor equity, which government-certified social enterprises should achieve from the perspective of nonprofit governance.