Relationship of generations X, Y, Z with new communication technologies

The COVID-19 pandemic, which became a global crisis in 2020, has radically transformed people’s normal lives in a matter of weeks. In addition to the health consequences, the virus has had a significant impact on the society and the economy, including the labor market. The present study aims to assess how traditional working has been transformed into teleworking in Slovakia. The study examines whether Slovakian workers are satisfied with teleworking. The questionnaire survey was conducted in December 2020 during the second wave of the coronavirus in Slovakia. Based on the obtained results, a significant relationship between teleworking satisfaction and salary satisfaction, supervisory support, and job autonomy was found. Based on the obtained results, teleworking introduced due to the coronavirus had a clear positive effect on job satisfaction of the examined Slovakian employees. As a result of teleworking, the relationship between manager and subordinate has improved, and work-life balance has also developed favorably.

Acknowledgments
This study was funded by the Pallas Athéné Foundations.

Over the years, technological progress has accelerated highly, and the speed, flexibility, human error reduction, and the ability to manage the process in real time have become more critical and required production companies to adapt production and business models according to the needs. The demand for real-time decision support systems adapted to these raising business needs is continuously growing. Nevertheless, businesses usually face challenges in identifying new indicators, data sources, and appropriate financial modeling methods to analyze them. This paper aims to define and summarize the main financial/economic forecasting methods for production companies in the context of Industry 4.0. Main findings show forecasting accuracy of up to 96% when combining economic and demand information, optimal forecasting period from 10 months to five years, more frequent use of soft indicators in forecasting, the relationship between company’s size and production planning. Four groups of indicators used in financial modeling, such as (I) production-related, (II) customers’ and demand-oriented, (III) industry-specific, and (IV) media information indicators, were separated. The analysis forms a suggestion for decision-makers to pay more attention to the forecasting object identification, indicators’ selection peculiarities, data collection possibilities, and the choice of appropriate methods of financial modeling.

Acknowledgment
This work was partly supported by Project No. 0121U100470 “Sustainable development and resource security: from disruptive technologies to digital transformation of Ukrainian economy”.

In spite of the large number of normative and legal documents dealing with gender issues, a problem of ensuring equal rights of men and women does still exist in Ukraine. The article is mainly devoted to the gender inequality of payment for labor. The purpose of the study is to highlight the peculiarities of gender asymmetry of payment for labor, to outline directions for reducing it, and to make proposals on achieving gender equality of payment for labor. The labor market analysis in 2013-2017 showed that gender gap of payment for labor depends on the type of economic activity. The study also found the largest gender-based payment gap in the highest legislative body, the Ukrainian parliament, due to the small number of women in its composition, which in some way affects all social sectors. In conclusion, a number of gender differentiation features in payment for labor were singled out. The authors had proposed ways to overcome the gender gap and suggested appropriate measures to be taken. It is necessary to establish gender quotas in the parliament and to impose fines for their non-compliance, a similar proposal applies to senior positions of state institutions. There is also a need to inform society about the topic under study, to develop programs for women in rural areas, and to introduce indicators of gender inequality in enterprise reporting.