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The purpose of this paper is to analyse the causes of unemployment in Ghana from both labour demand and supply perspectives based on most recent cross sectional data set from one nationally representative household survey and a baseline survey for Millennium Development Support.

A logit regression estimation technique is applied to two different household survey data sets of 2008 and 2013 to capture the effect of labour demand and supply on unemployment.

Using education and age as capability variables to represent supply factors, unemployment is found to increase with education, and declines with age, confirming higher unemployment rate among the youth, than the old. The paper also observes strong influence of demand factors on unemployment based on relatively higher incidence of unemployment fulltime jobseekers relative to part-time jobseekers and seekers of formal or wage-employment and self-employment or SMEs compared with those seeking any job. Other factors such as the individual’s reservation wage, marital status, sex and poverty status as well as their rural-urban location are also found to cause unemployment in Ghana.

Unemployment as a result of the inability of individuals to obtain a job of their choice in the midst of strong economic growth in Ghana suggests weak employment content of growth. In contrast, an increasing phenomenon of unemployment with education also reflects a problem of skill mismatch between skills churn out by education and training institutions and skills requirement by firms in the labour market.

The originality of the paper and its contribution to existing literature largely emanate from the inclusion of demand factors in a cross sectional analysis of causes of unemployment.

To explain the sources of jobless growth in Poland, the country undergoing economic system transition and integration with the European Union (EU).

The research used the Harrod‐Domar model together with an interpretation proposed by Barro and Sala‐i‐Martin to determine the growth threshold level of jobless growth in Poland. The technical, econometric calculation does not dominate the paper, which is destined for both academic and non‐academic readers studying the phenomenon of jobless growth.

The paper provides a review of literature and theories of jobless growth. The calculations show that Poland has a high threshold of jobless growth. The Polish GDP needs to grow at least 4 per cent to add new jobs.

To evaluate the overall long run impact of labor productivity on the job market one needs to include the growth of non‐manufacturing jobs in the service sectors which accommodate the needs of more affluent worker/consumers. This long‐term analysis is outside the scope of the paper.

The authors calculated an important variable for the Polish economy, i.e. the threshold growth rate of jobless growth, which indicates a minimum rate of growth, needed to create a net demand for labor. This research is likely to be quoted by the economists studying sources of unemployment in Poland and as well as in any high growth economies.

It is the only research known to the authors attempting to explain high level of unemployment in transition economies using recognized economic theories. The paper contributes to a better understanding of the phenomenon of jobless growth in market economies in general.

During the 1990s, the Israeli economy experienced two major events. First, starting in the fall of 1989, a large wave of relatively highly skilled immigrants arrived from the former Soviet Union (CIS) increasing the population and the labor force by considerable magnitude. Second, the hi-tech sector has grown substantially and reached a peak in growth and level in 2000.

This paper provides a descriptive analysis of the integration of immigrants from the CIS in the Israeli labor market and, specifically, in the hi-tech sector. Based on a unique panel data that follows immigrants for up to 12 years in Israel we find a significant positive correlation between immigrants’ participation in Israeli government-provided training programs and the propensity to work as professionals in the hi-tech industry and to work in white-collar occupations in other sectors. However, this correlation diminishes with ‘time since participation’ such that recent participants face a higher probability to work in hi-tech and white-collar jobs than those who participated in training earlier.

The main purpose of writing this paper is to try to suggest, in conceptual terms at least, a model for the labour turnover process. The model outlined in this paper is seen as a single part of the total supply and demand for labour in the macro‐economy.

Both potential immigrants to Canada and policymakers in Canada continually compare and contrast the economic returns of immigrants' language ability and proficiency. They ask which of the two official languages has a higher economic return in terms of employment and earning. This study examines how ability and proficiency in Canada's two official languages, separately and/or jointly, influences immigrants' quick absorption into the labour market.

The study uses all three waves of the Longitudinal Survey of Immigrants to Canada (LSIC) and employs logistic regression on the relationship between employability, language ability/proficiency and various non-linguistic factors.

The study reports that language ability in French is as valuable as language ability in English for immigrants who are aspiring to work, full-time or part-time, when they arrive in Canada. The advantages of language ability and proficiency continue a few years after an immigrant's arrival. Using disaggregated speaking, reading and writing competencies, the authors observe that speaking proficiency in English has a greater impact on employability than reading and writing in English.

There are very few studies looking at the effects of language ability and proficiency on the employability of immigrants in countries with multiple official languages. Most studies are mainly focused on earning and not employability. This study is focused on employability, particularly in the context of Canada. Furthermore, this study specifically disaggregates the impact of speaking, reading and writing competencies in both languages on employment in Canada.

The purpose of this paper is to investigate the technical efficiency (TE) of micro and small enterprises (MSEs) and its determinants in the Indonesian manufacturing sector covering comprehensive subsectors.

This research uses the data from the micro and small industry survey sourced from the Indonesian Bureau of Central Statistics for the period 2010–2015. The TE is estimated using data envelopment analysis (DEA) with bootstrapping approach. The TE is also estimated at the firm-level survey data, classified at the five-digit level of the International Standard Industrial Classification system. In addition, a truncated regression model is applied to estimate the effects of the determinants on the TE.

This research finds that there is a low average TE of the MSEs for the subsectors investigated. It is also found that the TE is associated with firm size, location, export orientations on domestic and world markets, firm age, level of technology, and owner education.

The literature investigating the TE of the MSEs and its determinants is still rare in Indonesia. Most of the previous research limited the studies for specific subsectors and/or specific small regions. Therefore, this research has a contribution in measuring the TE of the MSEs for comprehensive subsectors as well as its relation with the determinants in the Indonesian manufacturing sector. Also, the DEA with bootstrapping approach is applied to estimate the TE of the firms based on each relevant subsector, which is rare in the previous research of the Indonesian MSEs.

The purpose of this paper is to address the potential impacts of Industry 4.0 on human resource management (HRM) – with a particular focus on employment, job profile and qualification and skill requirements in the workforce – which can have implications for supply chain management (SCM). Consequently, exploratory relationships among Industry 4.0, HRM and SCM are presented based on a systematic review.

To explore Industry 4.0 literature and its impact on employment, the authors used a systematic literature review to identify, classify and analyze current knowledge, flagging trends and proposing recommendations for future research in this area. Using the Web of Science database, the authors utilized co-citation software to visualize the networks which emerged from recurrent terms and which were then used to develop the categories of analysis.

The authors can affirm that the literature in this field is in a transition process, from the early studies of German academics to the current development of new impacts worldwide. Industry 4.0 is the central theme of the literature analyzed and is accomplished through the development of employment, qualifications, skills and learning frameworks. The results reveal that most papers are conceptual, with quantitative studies still lacking. Developed countries have a leading role in terms of research production, while Latin America and Asia are far behind. Clustering reveals four dominant themes (educational changes, employment scenario, work infrastructure resources and work meaning and proposal). The first refers to labor changes around working conditions, the work environment and new skills which are required. The second main theme concerns the potentially unstable shift in the labor market has toward a high-level context. The third is about the technical interface of humans and machines, and finally, the fourth understands the German industry as a starting point for global industrial improvements and work proposal changes. Furthermore, socio-technical systems cover the implications of HRM for SCM in three different dimensions: qualification and education (human competences), collaboration and integration of SCM (organizational competences) and data and information management (technical competences).

An original research agenda for further development of the topic. Additionally, the implications of the findings for SCM practitioners are presented.

SCM managers can benefit from the results of this paper by developing adjusted polices for organizational and human aspects. Specially about training programs to improve technology skills and education programs for cyber-human new plataforms.

So far, Industry 4.0, HRM-related topics and implications for SCM have generally been considered separately. This paper elucidates the few important studies on the impacts of Industry 4.0 on human-related topics, such as the labor market, building a research framework using the main contributions highlighted in the literature. An original research agenda is presented, as well as potential implications for SCM.

Hispanics are the fastest growing minority group in the United States, registering a twenty‐five percent increase from 1973 to 1980 (1). Of the more than thirteen million U.S. residents of Hispanic origin, the largest group is Mexicans with nearly eight million persons (2). Some of the more salient features of the Hispanic population are the following (3).