Digitalization, robotization, artificial intelligence, and all kinds of new technologies that are known as Industry 4.0 or the fourth industrial revolution have great influence on the future of work because they will gather new jobs with new skills, and a majority of the senior workforce will probably have a lot of problems with those kinds of changes and challenges. The major objective of the paper is to recognize the dependence of the unemployment of the age category 55–64 upon selected explanatory variables. The explanatory variables were selected, and the expectations of their signs were presented in the research design. The secondary data of Eurostat and OECD 2015 has been used, covering the twenty-two member countries of the European Union (the countries that provided minimum wage were included only). The econometric analysis, specifically model specification and model quantification were the main methods used in the paper. The main outcomes and relevance of the model as well as its limitations have been compared with the findings of other authors in the discussion and implications for further research.

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, the scientific journal of the Mendel University in Brno, Czech Republic

The article analyses by mixed research methods the attitude regarding the purchase of bio and organic food for the population of the Generation Y in Czech and Slovak Republic. The collection of primary data was obtained in the form of a questionnaire survey carried out in the year 2014 and then repeatedly in the year 2019. Both phases of questionnaires were distributed electronically among respondents, university students, ranged from 16 to 35 years in Czech and Slovak Republic. The research questions related to the reasons why respondents purchase or do not purchase organic food and what criteria are motivational for choosing organic food products. In data processing was used statistical software Statistics. Methods applied to the data were statistical hypothesis testing and regression modelling. The key factors have been identified with the software influenced the respondent's decision to buy bio-and organics products in 2019. The research findings prove that visual appearance and brand doesnt play the decision key role for generation Y customers, as they put the main emphasis on the quality and availability of the bio-product.

Local administrations and companies rely on committed and self-reliant employees to achieve their goals. However, there is limited research on how influencing factors such as trust, understanding, and power affect self-managed teams. This study investigates the modes of interaction of these factors on the team structure within self-managed teams in IT departments and service providers of different German public administrations. The research methodology was a quantitative online survey comprising validated items from standardised test procedures to measure the influence factors. A total of 246 data sets were analysed by regression and mediator analysis. The study found significant positive effects of trust and power on understanding and a mediator effect of power on the relationship between trust and understanding. In conclusion, investments in team member empowerment in low-trust environments can be recommended to improve understanding more significantly than in high-trust situations.