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Our study explores the effects of immigration on the employment of native middle-skilled workers, focusing on how this effect varies with the specificity of their occupational skill bundles.

Exploiting the 2002 opening of the Swiss labor market to EU workers and using register data on the location and occupation of these workers, our findings provide novel results on the labor market effects of immigration.

We show that the inflow of EU workers led to an increase in the employment of native middle-skilled workers with highly specific occupational skills. This finding could be attributed to immigrant workers reducing existing skill gaps, enhancing the quality of job-worker matches, and alleviating firms' capacity restrictions. This allowed firms to create new jobs, thereby providing increased employment options for middle-skilled workers with highly specialized skills.

Previous literature has predominantly highlighted the disadvantages of specific occupational skills compared to general skills in the context of labor market shocks. However, our findings reveal that workers with specific occupational skills can benefit from an immigration-driven labour market shock. These results suggest that policy conclusions regarding the role of specific occupational skills should be more nuanced.

This study developed new measures of the routine and non-routine task contents of managerial, professional, technical, and clerical occupations from a workload perspective. Here, we present a comparative analysis of the workload structures of state and industrial sector employees.

Our method involves detailed descriptions of work processes and an element-wise time study. We collected and analysed data to obtain a workload structure that falls within three conceptual task categories: (i) non-routine analytic tasks, (ii) non-routine interactive tasks and (iii) routine cognitive tasks. A total of 2,312 state and industrial sector employees in Kazakhstan participated in the study. The data were collected using a proprietary web application that resembles a timesheet.

The study results are consistent with the general trend reported by previous studies: the higher the job level, the lower the occupation’s routine task content. In addition, the routine cognitive task contents of managerial, professional, technical, and clerical occupations in the industrial sector are higher than those in local governments. The work of women is also more routinary than that of men. Finally, vthe routine cognitive task contents of occupations in administrative units are higher than those of occupations in substantive units.

Our study sought to address the challenges of using the task-based approach associated with measuring tasks by introducing a new measurement framework. The main advantage of our task measures is a direct approach to assessing workloads consisting of routine tasks, which allows for an accurate estimation of potential staff reductions due to the automation of work processes.

Social engineering is crucial in today’s digital landscape. As technology advances, malicious individuals exploit human judgment and trust. This study explores how age, education and occupation affect individuals’ awareness, skills and perceptions of social engineering.

A quantitative research approach was used to survey a diverse demographic of Egyptian society. The survey was conducted in February 2023, and the participants were sourced from various Egyptian social media pages covering different topics. The collected data was analyzed using descriptive and inferential statistics, including independent samples t-test and ANOVA, to compare awareness and skills across different groups.

The study revealed that younger individuals and those with higher education tend to research social engineering more frequently. Males display a higher level of awareness but score lower in terms of social and psychological consequences as well as types of attacks when compared to females. The type of attack cannot be predicted based on age. Higher education is linked to greater awareness and ability to defend against attacks. Different occupations have varying levels of awareness, skills, and psychosocial consequences. The study emphasizes the importance of increasing awareness, education and implementing cybersecurity measures.

This study’s originality lies in its focus on diverse Egyptian demographics, innovative recruitment via social media, comprehensive exploration of variables, statistical rigor, practical insights for cybersecurity education and diversity in educational and occupational backgrounds.

This study aims to explore the prevalence and patterns of workplace sexual violence against women workers in Dhaka, Bangladesh.

This study used a mixed-methods approach to investigate workplace sexual violence against women workers in Dhaka, Bangladesh. Data collection spanned four months, using structured interviews, self-administered questionnaires and qualitative methods such as in-depth interviews and focus group discussions. A stratified random sampling technique ensured a diverse representation across sectors like garment manufacturing, domestic work and construction. Quantitative data from 384 respondents were analyzed using descriptive statistics and Pearson correlation analysis, while qualitative data provided practical insights into participants' experiences. Limitations included sample specificity to Dhaka, underreporting bias and potential biases in self-reported data, impacting generalizability and data validity.

The findings reveal significant demographic trends, with younger age groups (16–35 years) experiencing higher rates of harassment, particularly within the garment industry. Occupation-wise, garment workers report more incidents of harassment, while housemaids and child domestic workers face comparatively lower risks. The length of time in current employment shows mixed correlations with harassment prevalence. Fears of job loss, social stigma and reliance on internal resolution mechanisms within workplaces influence reporting behaviors.

This research highlights the urgent need for tailored interventions to protect young women in the garment sector and vulnerable occupations from sexual harassment. Policy reforms should enhance reporting mechanisms and address cultural barriers to reporting, ensuring safer workplaces and fair treatment for all female workers in Bangladesh.

This research contributes original insights by examining demographic correlates of sexual harassment across diverse occupations in Dhaka, Bangladesh. It uniquely identifies age-related vulnerabilities, occupational disparities and reporting behaviors, offering a comprehensive framework for understanding and addressing sexual violence in a critical socio-economic context.

We investigate whether women are more likely than men to choose to pursue a competency-based labour market integration programme, rather than the time-based labour market integration programme. We further investigate whether women with existing but uncertified skills are even more likely to pursue a competency-based labour market integration programme.

We test our hypotheses using ordinary least squares applied to linear probability models. We discuss the relative advantages of this methodology. We show the robustness of our results through multiple specifications and estimation methods. Finally, we discuss the reasons preventing us from granting our results a causal interpretation and discuss how they are surmountable in future research.

Women are significantly more likely to enrol into competency-based programmes, relative to time-based. Women with existing but uncertified skills are significantly more likely to enrol into competency-based programmes, whereas women without skills or with college degrees are not significantly different from the baseline. Our findings are robust to various specifications, and we include a comprehensive set of fixed-effect vectors, addressing industrial, occupational and time-varying state specificities.

First, our empirical test of hypothesis H2 is hindered by the construction of the “some college or associate’s degree” variable in RAPIDS data. “Some college” is very different from an associate’s degree. Second we had to choose between omitted variable bias and selection bias. Because of the demonstrated importance of the occupation and industry variables in existing literature, we included those variables at the risk of selection bias. Occupation and industry fixed effects reduce, but do not eliminate, omitted variable bias. Finally, the third limitation of this paper is external validity. Registered Apprenticeship programmes are quite idiosyncratic to the United States.

The rollout and expansion of CBRA may thus be an avenue through policymakers may reduce the gender training gap. This may in turn give more women access to the labour market and allow more women to benefit from the “wage premia” of Registered Apprenticeship completion on the labour market (Lou and Hawley, 2019).

This article is the first that applies econometric methods to investigate women’s choices of labour market integration programmes, using Registered Apprenticeship as a case study. We discuss the implications of our findings, highlighting how competency-based programmes may be an approach to better serving more diverse populations in Registered Apprenticeship.

To examine objective measures of economic job quality for a broad sample of workers in the US spectator sports industry and compare job quality in spectator sports to other industries.

Logistic and linear regressions are performed on American Community Survey (ACS) data collected from 2015 to 2019. Earnings and employer provision of health insurance are the outcomes.

Earnings and employer-provided health insurance are lower in the spectator sports industry than in other industries after controlling for relevant factors. Differences are partly explained by the occupational composition of the industry and the higher incidence of part-time work. Many but not all occupational groups have lower earnings and less employer-provided health insurance in sports.

ACS data only reports one job, so the results likely underestimate the prevalence of part-time work in the US spectator sports industry. The study finds support for a micro-class occupational composition effect and a pulsating organization effect. Some support is also found for a sports industry compensating wage differential, but the effect is not industry wide, counter to some depictions.

This is the first study to examine objective, economic measures of job quality across all occupational sub-groups in the sports industry. This is the first study to propose theoretical explanations for poor economic job quality in sport.

Vocational education in Hong Kong suffers from an image problem. Stakeholders often perceive it as a second-best option for those who fail to advance in academic education. In 2016, to promote vocational education, the Hong Kong government launched a publicity campaign and rebranded vocational education and training (VET) as vocational and professional education and training (VPET). This study critically analyzes the new discourse crafted by this campaign and assesses its potential to change VPET’s status.

This study applies critical discourse analysis to the set of television public service advertisements produced as part of the government publicity campaign.

The messaging of the publicity campaign consists of two major discursive strategies. One stresses the ability to find self-fulfillment through VPET. The other stresses the academic ability and middle-class status of VPET students as well as the non-manual and high-end career opportunities for graduates. While the first strategy offers a new basis on which to value VPET, the second recreates assumptions about the value of academic achievement and what constitutes respectable employment, even as it attempts to challenge stereotypes. It reinforces that the ultimate goal of education is financial gain and social status. It overlooks other values of education and the potential value of VPET in enhancing individual choice and agency.

Discourse analysis does not provide information about audience perceptions and interpretations.

The government could consider reframing their messaging in terms of the diverse values and experiences of VPET students. Highlighting the values that VPET students themselves see in their education provides alternative discourses that can better challenge hegemonic ideas.

To the best of our knowledge, this is the first discourse analysis of the government’s publicity campaign to promote VPET.

Segmentation theory argues that the labor market is composed of a variety of non-competing segments between which rewards to human capital are determined by institutional structures. This paper presents new evidence on sector-wise earning differential for both male and female samples to assess the implications of segmentation theory.

Primary data is collected through simple random sampling technique with a survey questionnaire from 954 employed individuals of Southern Punjab, the less developed region of Pakistan. OAXACA decomposition technique is adopted to estimate earning differential.

Empirical estimates of OAXACA decomposition reveal that the extent of discrimination between public and private sector is greater in case of females than in male samples. Education and region are crucial factors behind sector-wise earning differential for both male and female samples. Job characteristics are more valued than occupation to explain sector-wise earning differential. Occupation largely contributes to explain public–private sector earning differential in male sample than in female sample. Moreover, job security is highly valued by females than males.

Segmentation of the institutional structure in a developing economy is empirically verified by using primary data due to non-availability of data on some variables from secondary data sources. This study attempts to explore the key factors of public–private sector wage differential for male and female samples separately due to the differences in their preferences for work and earning functions.

In today’s digital age, news and social media are abuzz with ChatGPT and a myriad of advanced AI tools. Experts from disciplines like computer science and socioeconomics have discussed the profound transformations AI can bring. While certain industries have embraced AI, its penetration across all sectors remains uneven. Yet, even with this limited adoption, the psychological ramifications it presents for workplace employees are profound. Our study integrated social information processing and transactional stress theories to analyze the effect of automation brought by AI on job insecurity. Our study also considers whether moderating factors like supervisor–subordinate relationships and social media engagement can alleviate the adverse consequences of automation.

We empirically test our research hypotheses with longitudinal data from the US General Social Survey (GSS).

Using US General Social Survey data, our findings indicate that employees in industries with high automation potential are more susceptible to job insecurity. Interestingly, social media engagement appears to dampen this relationship, while the quality of the supervisor–subordinate relationship shows negligible impact.

This study provides valuable insights into the effects of automation potential and the role of social media engagement in coping with it, making a meaningful contribution to the existing literature in this area.

The research aims to applying Baumol’s framework to address some research gaps in the literature. This paper aims to analyze how institutional variations at the subnational level impact entrepreneurship decisions and the path toward productive or unproductive entrepreneurship in an institutionally underdeveloped country. The results offer potentially new theoretical insights and practical implications for developing or emergent countries.

The research applies Baumol’s framework to Mexico’s context. The research collects data compounded by individual- and state-level variables from diverse sources for the 32 Mexican states. The individual level and some controls were obtained from sources of regular frequency, but the institutional variables were derived from surveys of irregular frequency, nonsynchronic and mostly nonoverlapping, which required aligning and centered them around 2016 and 2019 to match with the individual variables. The authors apply multilevel nonlinear mixed-effects probit regression to test nine hypotheses regarding the impact of institutional variables on entrepreneurial decisions and the path toward productive or unproductive entrepreneurship.

Improved formal institutions across the Mexican states reduce the entrepreneurship probability, implying interactions with other variables and indirect effects; encourage the selection of productive entrepreneurship, e.g. formal ventures; and discourage self-employment. Consequently, those institutions do not encourage entrepreneurship selection as an occupation but entrepreneurial quality, i.e. the selection of productive-formal entrepreneurship and larger ventures. Deficient informal institutions increase the entrepreneurship and formal entrepreneurship probabilities, implying the interactions with other variables and indirect effects and supporting the corruption “greases the wheels” hypothesis, consequently encouraging productive ventures. New evidence of the positive relationship between criminality and entrepreneurship types in Mexico is reported.

Our findings indicate important impacts of the individual-level variables on the entrepreneurship decisions and that most of those decisions are potentially necessity driven and a minority are driven by opportunity, given their relationship with the macroeconomic controls and the institutional variables. The authors report mixed results on the relationship between institutions and entrepreneurship partially consistent with the literature; some results contribute additional evidence on controversial hypotheses or imply the existence of indirect effects. Overall, the results suggest that institutions impact the individual decisions to venture and the type of venture consequently affecting the amount and quality of entrepreneurship across states.

The research addresses some of the literature gaps by providing empirical evidence on a middle-income country and how diverging regional institutional contexts, including formal and informal institutions, impact the individual’s entrepreneurship decisions within an institutionally underdeveloped country. The paper contributes new knowledge and insights into entrepreneurship in emerging or developing countries with implications for Baumol’s framework in this context and adds to the debated hypothesis on the relationship between some institutions, e.g. corruption and criminality and entrepreneurship.