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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.

The accelerating business transformation through Industry 4.0 (I4.0) is expected to create significant value in the manufacturing industry by delivering considerably high productivity, superior quality, better efficiency and effectiveness. However, its evolutionary processes have far-reaching challenging for humanity. This has triggered a need to analyze the impact of I4.0 on various people-centric variables (PCVs).

This paper attempts to analyze the interrelationship dynamics between the PCVs in the current digital-industry ecosystem using a focus-group approach and causal loop diagrams. Application of the SWARA (stepwise weight assessment ratio analysis) methodology has provided its prioritized ranking in terms of importance.

The study has highlighted that I4.0 has a significant influence on five of the 13 PCVs – human quality of life, digital dexterity, high-skilled talent, low-skilled employment and creativity which contribute to 80% of the total impact.

The prioritized weights of the human factors from the SWARA approach have facilitated the assessment of the Human Resource Development Index (HRDI). The study is also contributing in enriching the literature on the human impact of the growing I4.0 and triggered the researchers to study further its adverse impact on critical human factors.

1. The paper pertains to debates on a very critical issue of impact of integration of the current intelligent digital technologies in manufacturing and services to transform businesses to be more flexible and agile.

2. This paper features I4.0 as a technology that allows integration of new products in the existing production lines, one-off manufacturing runs and high mix manufacturing.

3. The paper also highlights major adjustments in operational activities, processes, supply chain, and organizational redesign due to I4.0 adoption.

4. The current research study has significantly enriched the literature on the I4.0 impact on people-centric variables (PCVs) using the SWARA method. The use of the Causal Loop Diagram has very aptly brought out the type of causality (polarity) between the different PCVs in the growth of I4.0.

The paper pertains to debates on a very critical issue of impact of integration of the current intelligent digital technologies in manufacturing and services to transform businesses to be more flexible and agile.

This paper features I4.0 as a technology that allows integration of new products in the existing production lines, one-off manufacturing runs and high mix manufacturing.

The paper also highlights major adjustments in operational activities, processes, supply chain, and organizational redesign due to I4.0 adoption.

The current research study has significantly enriched the literature on the I4.0 impact on people-centric variables (PCVs) using the SWARA method. The use of the Causal Loop Diagram has very aptly brought out the type of causality (polarity) between the different PCVs in the growth of I4.0.

The study investigates the influence of ChatGPT on the labor market dynamics, aiming to provide a structured understanding of the changes induced by generative AI technologies.

An analysis of existing literature serves as the foundation for understanding the impact, while the supply and demand model helps assess the effects of ChatGPT. A text-mining approach is utilized to analyze the International Standard Occupation Classification, identifying occupations most susceptible to disruption by ChatGPT.

The study reveals that 32.8% of occupations could be fully impacted by ChatGPT, while 36.5% might experience a partial impact and 30.7% are likely to remain unaffected.

While this study offers insights into the potential influence of ChatGPT and other generative AI services on the labor market, it is essential to note that these findings represent potential implications rather than realized labor market effects. Further research is needed to track actual changes in employment patterns and job market dynamics where these AI services are widely adopted.

This paper contributes to the field by systematically categorizing the level of impact on different occupations, providing a nuanced perspective on the short- and long-term implications of ChatGPT and similar generative AI services on the labor market.

This paper aims to extend the scope of previous studies on education-occupation mismatch to explicitly focus on the role high school track choices have on the risk of being mismatched in the labor market.

The paper uses the most exhaustive available database regarding the early-career paths of university graduates in Romania. Using a novel matching technique, entropy balancing (EB), our study relies on multinomial logit models and logit regressions to estimate the effect of the completed high school track on the likelihood of being mismatched in the labor market. The empirical analysis focuses on two types of education-occupation mismatches: horizontal and vertical mismatches.

We show that studying a different field in college compared to the completed high school track increases the risk of being skill mismatched in the first job after graduation. Five years after college graduation, the influence of the high school track fades, while being skill mismatched in the first employment plays a more important role. In contrast, we find no evidence that pursuing a college major unrelated to the completed high school track increases the probability of being overeducated. However, being overeducated in the first job increases the risk of being overeducated five years later.

The study brings new reliable evidence on the extent to which high school track choices may contribute to the risk of being mismatched in the labor market.

The introduction of robots as value-adding “workers” on the shop floor triggers complex changes to manufacturing work. Such changes involve highly entangled relationships between technology, organisation and people. Understanding such entanglements requires a holistic assessment of contemporary robotised manufacturing work, to anticipate the dynamically emerging opportunities and risks of robotised work.

A systematic literature review of 87 papers was conducted to capture relevant themes of change in robotised manufacturing work. The literature was analysed using a thematic analysis approach, with Checkland’s soft systems thinking as an analytical framework.

Based on the literature analysis, the authors present a systemic conceptualisation of robotised manufacturing work. Specifically, the conceptualisation highlights four entangled themes of change: work, organisation of labour, workers’ (experiences) and the firm’s environment. Moreover, the authors discuss the complex patterns of interactions between these objects as relationships that defy straightforward cause–effect models.

The findings draw attention to complex interactions between robotisation and manufacturing work. It can, therefore, inform strategic decisions and support projects for robotisation from a holistic perspective.

The authors present a novel approach to studying and designing robotised manufacturing work as a conceptual system. In particular, the paper shifts the focus towards crucial properties of the system, which are subject to complex changes alongside the introduction of robot technology in manufacturing. Soft systems thinking enables new research avenues to explain complex phenomena at the intersection of robotisation and manufacturing work.

The purpose of this paper is to define the impact of training and development (T&D) in the Visegrad countries (V4) as impacted by the Covid-19 pandemic, namely, Hungary, Poland, Slovakia and the Czech Republic. These countries have some political, cultural, social and economic similarities and share some common ground in the human resource development (HRD) sectors.

The authors used the HRD theory and the human capital theory to analyse the context, operations and impact of T&D in the V4 countries due to the Covid-19 pandemic. The research was conducted in 400 companies, 100 from each of the four countries using the computer assisted web interviewing technique. The questionnaire was in a six-point Likert scale format and addressed 12 topics related to T&D: policy, expectations, procedures of diagnosis, preparation, implementation, monitoring, trainees, trainers, investment and expenditures, evaluation, results and controlling.

The authors concluded that in the Visegrad countries, Covid-19 raised expectations on T&D. This was followed by increased levels of action in diagnosis, preparation, monitoring and implementation, following pre-existing and adjusted policies. Evaluation and control were complicated. Investment and results and the human side of the T&D (trainees and trainers) were the ones for which there were more uncertainties and perplexities.

The study has the limitation of using only a small sample in four countries. For further research, the authors suggest a larger study extended to all the European Union countries, an in-depth analysis of the current data and the kurtosis on Policy of T&D.

The results of the research can be used to improve T&D programs after the Covid-19 pandemic. They could also provide information to external trainers to improve and adjust their services according to the opinions of the respondents of the study. The research findings can also serve institutions responsible for policy provision of HRD at a national level by providing possibilities to apply for funding either within national or regional funds like the National Training Fund in Poland or within European Union money at a national level.

The study is original because even if the T&D in V4 countries during the Covid-19 pandemic had already been studied separately (e.g. Mikołajczyk, 2021; Vrabcová, Urbancová 2021; Vinichenko et al., 2021), no empirical, cross-national research analysing specifically the T&D in those countries has been carried out so far. The authors use an innovative methodology, addressing 12 topics and the people involved together with the stages in which a T&D policy is divided. That makes it innovative and very relevant.

This study explores the various obstacles that female instructors and students confront in tourism education.

Utilizing qualitative research approaches and a thorough literature assessment, this study investigates women’s complex challenges in the academic and educational domains. The study examines the particular difficulties faced by female professors, such as work-life balance concerns, gender bias and limited opportunities for career advancement. Furthermore, the study also analyses the challenges that female students confront, including the threat of stereotypes, sexual harassment during internships and restricted access to networking and mentorship possibilities.

Findings illustrate that both female tourism academics and students face gender discrimination in academia and in the sector.

The findings may contribute valuable insights for policymakers, educators and stakeholders, emphasizing the need for targeted interventions and inclusive policies to create supportive environments for female lecturers and students in these departments.

This is the first study done in North Cyprus, which specifically analyzes gender inequality in tourism education. It is valuable as it emphasizes the significance of advancing gender equality in tourism and hospitality education.

Training has been an important tool for enhancing the skills and productivity of employees. Having productive employees helps organizations sustain themselves. Today, the authors organisations have an increasing number of employees on third-party payroll performing core as well as noncore business functions. However, due to the lack of ownership and moral obligation of employers, these employees are often not provided training, resulting in skills obsolesce and less productivity. The present study is a systematic literature review (SLR) on client organizations’ roles in training third-party employees (TPEs) and its related outcomes.

The present study is a SLR on client organizations' roles in training TPEs and their related outcomes. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) approach, this study presents a review of 217 research papers on training of TPEs and its related outcomes.

The study identifies the outcomes of providing training to TPEs and presents the findings and suggestions made by researchers. The study concludes that TPEs are an important investment for the client organization. Training them would benefit the client organization, TPEs and the economy as a whole. The paper also suggests some avenues for future research.

This paper tries to answer an important question: What could drive productive behavior among TPEs? Based on the literature reviewed, the answer is that TPEs could be offered training opportunities with a view to enhancing their employability. This could induce, among them, a sense of being valued and supported while contributing to organizational performance and creating a feeling of reciprocal obligation. This is an important contribution to literature. Low investment in these employees affects their employability, i.e. be it in the same organization for another term or another organization and thus the need for training and development, for sustained productivity among TPEs, in organizations.

Training and development, for them, would result in enhanced employability within as well as outside the organization. These employees could also be a good source for regular positions within the organization, if required, benefiting both the organization and the employee. Additionally, the economy would also benefit from a pool of skilled workforce. Therefore, it is suggested that governments initiate some policy framework regarding mandatory training of TPEs to increase their competencies, resulting in increased organizational productivity, especially for TPEs at lower and middle levels of management.

The paper is an original contribution by the researcher. An attempt has been made to highlight the training needs of TPEs and their related outcomes.

The paper presents the initial groundwork for the development of a research agenda around the management control implications of employing workers with intellectual disability.

The point of departure of this foundational enquiry is primarily prior analyses and critiques of empirical research into the employment of workers with intellectual disabilities.

The authors extend the management control framework advanced by Tessier and Otley (2012) by offering insights relating to the benefits and costs of both compliance as well as performance roles of management control systems (MCS). As such, the authors advocate potential avenues for further empirical investigation and also offer four broad ways in which the use of MCS is implicated in the employment of individuals with an intellectual disability by recognising that achieving compliance outcomes or achieving performance outcomes both carry associated benefits and costs.

The extent to which management control research has engaged with the context of workers with intellectual disability is limited. However, this paper identifies some of the salient considerations underlying an agenda for further research in this area.

The employment of workers with intellectual disabilities is by no means unprecedented. In many Western economies, there have in recent times been significant disability policy shifts, recognising the key role of employment in the financial security and social participation of people with disabilities, including those with intellectual disabilities. A key performance indicator stated in these policy positions is an increase in workforce participation for this group of people. However, an increase in the employment of such individuals is likely to represent significant implications in terms of prevailing conditions as well as new management control configurations that may be required.

The paper overviews existing knowledge about the employment of workers living with an intellectual disability and identifies areas relating to the management control implications of such arrangements within which more research is required.

The study aims to study the effect of non-cognitive ability in human capital on the wages of rural migrant workers in China. The study also examines the mechanisms by which career choice, career development and social capital influence.

Based on the new human capital theory, this paper empirically investigates the effects and mechanisms of rural migrant workers' non-cognitive ability on wages using the 2018 China Family Panel Studies database and Stata 17.0 for construct validation and hypothesis testing.

The results showed that non-cognitive ability has a significant positive effect on rural migrant workers' wages. Subsequently, the mechanism of non-cognitive ability was examined. In further analysis, the study found that non-cognitive ability has a greater effect on the wages of vulnerable individuals (females, low and medium skills) among the rural migrant workers.

The originality of this study is to break through the existing research perspectives, overcome the limitations of scholars' existing research perspectives focusing on the employment and competitiveness of rural migrant workers in China and explore the factors affecting the rural migrant workers' wages from the perspective of non-cognitive ability as a new entry point by combining psychology. At the same time, the study design is more rigorous, avoiding the measurement error of variables.