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One of the major goals of sustainable development is creating employment opportunity among all. Despite its largest demographic dividends, the whole world faces challenges in employment generation among youth. The growing number of unemployed youths is one of the important problems faced by developed as well-developing countries. Youth unemployment is the situation of young people who are looking for a job but cannot find a job in the age between 15 and 24. Mismatch between education and employability resulted in high unemployment rates among the youth. A key research question is that how we can bridge the gap and equip the youth for job field. Although eminent economists, newspapers, international statistical bodies continuously put fingers towards this vulnerability, research work in this field is really scant. On this backdrop, this chapter wants to explore the intensity of youth unemployment in India; keeping in mind, India has the largest youth population in the world. Based on data sources from World Development Indicators, the chapter studies the time series since globalisation to COVID periods. This chapter also tries to search the macroeconomic variables related anyway to the youth unemployment rate. As research methodology, we use vector autoregressive (VAR) Granger causality test. Based on our results, the author has concluded that human development index in India and GDP both ways causes each other. And youth unemployment rate in India causes HDI. However, our econometric investigations can be useful to better assessment of youth unemployment in India from liberalisation to pandemic. At the end of this chapter, some final considerations and policy implications on youth labour market dynamics are analysed and discussed.

The research consisted of a questionnaire and in-depth interview with the CEO. Secondary research was conducted to read through various articles and literature available on the organization. Relevant courses are organizational behavior/organization development/strategic management.

In a landscape traditionally dominated by male leadership, this case study highlights the compelling narrative of a new leader with an unconventional leadership style. This purpose of this case study aims to explore the change management challenges faced by Molade, CEO of WAVE, a leading vocational education social enterprise based in Lagos, Nigeria, as she grapples with the issue of organizational culture and gender bias and their impact on team dynamics while implementing a new strategy. Her leadership journey reflects not only personal triumphs but also the broader impact of diverse perspectives at the helm of organizational decision-making. Despite having over a decade of industry experience and being well-respected in her field, Molade is met with resistance and patronizing behavior from some of the existing team members who question her authority and decision-making abilities. The case discusses leadership challenges faced by Molade, a female leader, its negative implications on her performance and her ability to implement change within the organization. Ultimately, Molade’s perseverance and strategic thinking enabled her to successfully navigate her dilemma.

Undergraduate business course(s) which include organizational behavior, organization development and strategic management.

The purpose of this study is to analyse the gender wage gap (GWG) in Spain adopting a labour market segmentation approach. Once we obtain the different labour segments (or idiosyncratic labour markets), we are able to decompose the GWG into its observed and unobserved heterogeneity components.

We use the data from the Continuous Sample of Working Lives for the year 2021 (matched employer–employee [EE] data). Contingency tables and clustering techniques are applied to employment data to identify idiosyncratic labour markets where men and/or women of different ages tend to match/associate with different sectors of activity and occupation groups. Once this “heatmap” of labour associations is known, we can analyse its hottest areas (the idiosyncratic labour markets) from the perspective of wage discrimination by gender (Oaxaca-Blinder model).

In Spain, in general, men are paid more than women, and this is not always justified by their respective attributes. Among our results, the fact stands out that women tend to move to those idiosyncratic markets (biclusters) where the GWG (in favour of men) is smaller.

It has not been possible to obtain remuneration data by job-placement, but an annual EE relationship is used. Future research should attempt to analyse the GWG across the wage distribution in the different idiosyncratic markets.

Our combination of methodologies can be adapted to other economies and variables and provides detailed information on the labour-matching process and gender wage discrimination in segmented labour markets.

Our contribution is very important for labour market policies, trying to reduce unfair inequalities.

The study of the GWG from a novel labour segmentation perspective can be interesting for other researchers, institutions and policy makers.

This study aims to explore the NEET (Not in Education, Employment and Training) experiences of young people living in impoverished settings.

Methodologically, this study was informed by a qualitative analysis of visual and textual data related to a body mapping exercise with eleven young people who were participants in a four-day start-up workshop in a larger action research project.

The findings reveal that, although being NEET negatively affects young people’s self-esteem, confidence, hope for the future and general well-being, body mapping can help them discover latent assets useful for reducing their insecurities.

Researchers using this method need to be well prepared to deal with possible emotional trauma, and to this end, we provide some guidelines for the effective implementation of body mapping.

The purpose of this paper is to examine the effect of unemployment during the COVID-19 pandemic on mental health, quality of life and the labour market outcome across North and Southern Nigeria.

Data was obtained from staff laid off in selected tertiary institutions in North East and South West Nigeria using a self-administered questionnaire with a total sample size of 185. Findings are shown using the heteroscedastic linear regression and descriptive statistics.

The results showed a significant negative effect of unemployment during the pandemic on mental health and quality of life. Less than half of those laid off are reabsorbed into the labour market with the majority in the South than the Northern region and most are in self-employment.

The coronavirus pandemic negatively affected the human race, with a huge socio-economic impact linked to health and well-being. This reality calls for attention to the role it played on mental health and the quality of life as well as how it has influenced the labour market. Labour empowerment during a pandemic is key to cushion the effect of pandemics on health and the labour market. This can be in the form of skill empowerment and increased access to funds for business start-ups to enable self-employment that typifies the labour market after a pandemic. This in turn will reduce mental health challenges and low quality of life associated with pandemics.

To the best of the authors’ knowledge, this research is the first in the literature that provides empirical evidence of the effect of unemployment during the pandemic on well-being captured using mental health and the quality of life in Nigeria. Findings on labour market outcomes due to the pandemic and across regions in Nigeria are also scarce in the literature.

This study aims to examine how the starting of business by females can be promoted by assessing critical levels of microfinance institutions (MFIs) penetration that policymakers must endeavor to maintain and/or attain in order for female unemployment not to represent a constraint in the doing of business. A constraint in doing business is understood in terms of the procedure that a woman has to go through to start a business.

The focus of the study is on 44 countries in Sub-Saharan Africa for the period 2004–2018, while the empirical evidence is based on interactive quantile regressions.

The following findings are established. The validity of tested hypotheses is exclusively apparent in the lowest and highest quantiles of the conditional distribution of the procedure women have to go through to start a business. MFI penetration levels needed to reverse the unfavorable incidence of female unemployment in doing business are provided. These are minimum MFIs penetration thresholds that are required in order for female unemployment not to negatively affect the procedure that a woman should go through to start a business.

The study complements the extant literature by assessing critical microfinance penetration levels that are needed to promote female doing of business, contingent on existing levels of female doing of business.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This research paper set out to explore how an Indonesian organization addressed hiring and training challenges while contributing to society through a Vocational and Education Training (VET) program. The VET intervention, “Project VALERIE,” reduced costs, provided jobs for graduates, and addressed local youth unemployment. Embracing a strategic CSR approach aligned with organizational and societal goals, creating shared value for every stakeholder. Fostering collaborative industry-education partnerships in this way bridged skill gaps and created a reliable talent pipeline. It’s a great example of a strategic win-win approach that other HR teams can replicate.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

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.

Purpose: Students’ transition from education to employment is influenced by factors like the length and calibre of their education, demography, labour market conditions, and the general state of the economy. Regardless of the economy, education systems should seek to ensure that students have the skills required for the labour market. This will help them better transition from school to work. This study examines the work skills that companies require for entry-level positions in Romania.

Need for Study: Previously, text analysis studies treated the job market only for the IT industry in Romania. To understand the demand-side opportunities and restrictions, assessing the employment opportunities for young people in the Romanian labour market is necessary.

Methodology: A text mining approach from 842 unstructured data of the existing job positions in October 2022 for fresh graduates or students is used in this chapter. The study uses data from LinkedIn job descriptions in the Romanian job market. The methodology involved is focused on text retrieval, text-pre-processing, word cloud analysis, network analysis, and topic modelling.

Findings: The empirical findings revealed that the most common words in job descriptions are experience, team, work, skills, development, knowledge, support, data, business, and software. The correlation network revealed that the most correlated pairs of words are gender–sexual–race–religion–origin–diversity–age–identity–orientation–colour–equal–marital.

Practical Implications: This study looked at the job market and used text analytics to extract a space of skill and qualification dimensions from job announcements relevant to the Romanian employment market instead of depending on subjective knowledge.