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The wage effect of job–education vertical mismatch (i.e. overeducation) has only recently been investigated in the case of Ph.D. holders. The existing contributions rely on ordinary least squares (OLS) estimates that allow measuring the average effect of being mismatched at the mean of the conditional wage distribution.

The authors implement a recentered influence function (RIF) to estimate the overeducation gap along the entire hourly wage distribution and compare Ph.D. holders who are overeducated with those who are not on a specific sample of Ph.D. holders in different fields of study and European Research Council (ERC) categories. Moreover, the authors compare the overeducation gap between graduates working in the academic and non-academic sector.

The results reveal that overeducation hits the wages of those Ph.D. holders who are employed in the academic sector and in non-research and development (R&D) jobs outside of the academic sector, while no penalty exists among those who carry out R&D activities outside the academia. The size of the penalty is higher among those who are in the mid-top of the wage distribution and hold a Social Science and Humanities specialization.

Two policies could reduce the probability of overeducation: (a) a reallocation of Ph.D. grants from low to high demand fields of study and (b) the diffusion of industrial over academic Ph.Ds.

This paper observes the heterogeneity of the overeducation penalty along the wage distribution and according to Ph.D. holders' study field and sector of employment (academic/non-academic).

The study aims to investigate the impact of highly skilled emigration from Greece on the innovation performance of the Greek economy.

The study draws on a new, census-scale, database that includes all the Greek Ph.D. holders and on statistical information pooled from various secondary sources.

The mass emigration of highly educated Greek scientists that was exacerbated during the ten-year recession has had detrimental effects on Greece's innovation performance. Specifically, an increase in the number of highly skilled emigrants has a negative impact on scientific citations and on patent applications during the following year. An instrumental variable approach based on gravity model literature is employed to test the authors’ findings. The potential effects of these findings and policy suggestions are also discussed.

The study enriches the academic and policy discussion on the science and technology–related consequences of brain drain on the origin country. This is the first study that focuses on Greece – the country which experienced the highest emigration rates within the EU during the severe ten-year economic crisis – and sheds light on the impact of skilled emigration on its innovation performance.

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.

States that science and technology skills are the key to knowledge based, sustainable economic development, but the production of graduates is insufficient in many countries both in quality and quantity. Suggests that this may be improved by greater female participation. Investigates the recruitment issues in this area in Indonesia and China. Concludes that the number of women in further education today will influence recruitment of future academic staff and in China’s case, this could lead to a more male dominated environment.

In the context of the Industry 4.0, this paper aims to investigate the state of the art of Italian manufacturing, focusing the attention on the implementation of intelligent predictive maintenance (IPdM) and 4.0 key enabling technologies (KETs), analyzing advantages and limitations encountered by companies.

A survey has been developed by the University of Parma in cooperation with the Italian Workers' Compensation Authority (INAIL) and was submitted to a sample of Italian companies. Overall, 70 answers were collected and analyzed.

Results show that the 54% of companies implemented smart technologies, increasing quality and safety, reducing the operating costs and sometimes improving the process' sustainability. However, IPdM was implemented only by the 37% of respondents: thanks to big data collection and analytics, Internet of Things, machine learning and collaborative robots, they reduced downtime and maintenance costs. These changes were implemented mainly by large companies, located in northern Italy. To spread the use of IPdM in Italian manufacturing, the high initial investment, lack of skilled labor and difficulties in the integration of new digital technologies with the existing infrastructure are the main obstacles to overcome.

The article gives an overview on the current state of the art of 4.0 technologies implementation in Italy: it is useful not only for companies that want to discover the implementations' advantages but also for institutions or research centres that could help them to solve the encountered obstacles.

This study aims to explore the perception of physicians and nurses toward the prevalence of workplace bullying behaviors (verbal, physical, social, and cyber) in Jordanian public hospitals.

The study population consisted of 1,056 physicians and nurses working on the day and night shifts in four leading public hospitals in Jordan. A convenient nonprobability sample of 460 physicians and nurses was chosen randomly to answer the self-administrated questionnaire developed by the authors. Descriptive and inferential statistics were conducted using SPSS 26.0. Statistical significance was set at p < 0.05.

Participants reported that the prevalence of workplace bullying behaviors was 23% (M = 1.15). The practice of the bullying types was in descending order as follows: verbal (25%), social (24.8%), physical (21.4%), and cyber (21%). Abusers spread rumors about the victims (31%), verbally harass them for provocation (29%), physically damage their things without any reason (26%), and make fun of their posts on social media (21%). Cyberbullying was significantly and strongly associated with social bullying (0.88). Ph.D. and master's holders reported higher practice of workplace bullying behaviors than respondents who hold a diploma or a bachelor's degree. In addition, respondents who work the day shift reported higher verbal bullying than the night shift respondents.

There is a need to develop effective policies and procedures that tackle the practice of workplace bullying by educating employees about the nature of workplace bullying, its effects on individual and organizational outcomes, and how to prevent its adverse consequences.

This is one of the first comprehensive studies in the Arab context that explores workplace bullying against physicians and nurses.

The study examines potential differences in socioeconomic status (SES) and emigration patterns between Greek international students (IS) and non-international students (non-IS) and their relationship to the brain drain from Greece.

The study draws on a unique database including all the Greek PhD holders and provides detailed information on their SES and mobility patterns. Furthermore, an individual-level SES index is constructed including both human capital and socioeconomic indicators to estimate the magnitude of the brain drain in terms of the SES that emigrated abroad between 1,985 and 2,018.

First, Greek IS have a higher educational, professional and economic status compared to Greek non-IS. Moreover, they exhibit a more international profile, inasmuch as they are more likely to remain abroad after graduation to seek employment. Second, the magnitude of the brain drain in terms of SES emigrated abroad (22.5% of the total) is greater than in terms of individuals who moved abroad (13.4% of the total). Specifically, the SES that outflows with an additional Greek skilled emigrant (that is, an additional IS and non-IS residing abroad) is 1.1 times greater than the SES that remains in Greece with an additional non-IS residing in Greece.

The study contributes to the scientific discussion that relates the SES of IS and highly skilled migrants to brain drain and fills the gap in the relevant literature.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0607.