Assessment of Work Conditions in a Production Enterprise—A Case Study

Intelligent Backpropagation Networks with Bayesian Regularization for Mathematical Models of Environmental Economic Systems

The research community of environmental economics has had a growing interest for the exploration of artificial intelligence (AI)-based systems to provide enriched efficiencies and strengthened human knacks in daily live maneuvers, business stratagems, and society evolution. In this investigation, AI-based intelligent backpropagation networks of Bayesian regularization (IBNs-BR) were exploited for the numerical treatment of mathematical models representing environmental economic systems (EESs). The governing relations of EESs were presented in the form of differential models representing their fundamental compartments or indicators for economic and environmental parameters. The reference datasets of EESs were assembled using the Adams numerical solver for different EES scenarios and were used as targets of IBNs-BR to find the approximate solutions. Comparative studies based on convergence curves on the mean square error (MSE) and absolute deviation from the reference results were used to verify the correctness of IBNs-BR for solving EESs, i.e., MSE of around 10−9 to 10−10 and absolute error close to 10−5 to 10−7. The endorsement of results was further validated through performance evaluation by means of error histogram analysis, the regression index, and the mean squared deviation-based figure of merit for each EES scenario.

Relational and Networking Character: Threat or Savior for the Sustainability of European Erasmus+ Projects in the Times of COVID-19 Pandemic?

Turbulent and unstable times caused by the COVID-19 pandemic constitute specific training grounds as well as a stress test to verify in practice the validity of assumptions underlying the modern paradigms in management on the one hand, and to assess which factors contribute, or pose challenges and threats, to the resilience and sustainability of modern organizations on the other hand. Research was conducted among 990 Erasmus+ project leaders to assess to what extent the factors connected with the relational and networking characteristics of Erasmus+ projects, functioning as temporary organizations, facilitate the sustainability of European transnational cooperation projects in the times of the COVID-19 pandemic. The discussion concentrates on the digital and social dimensions of transnational cooperation and places these dimensions in the broader context of relational view and network paradigm in the modern science of management as well as in the context of strategic management. Bibliometric analysis shows that no such research has been conducted so far. Researchers tend to analyze the impact of Erasmus+ projects on regional, national, and European communities but do not touch upon the aspects connected with the management of the projects themselves, especially in the context of the COVID-19 pandemic. Consequently, this research fills a research gap in this respect.

Strengthening Professional Efficacy Due to Sustainable Development of Social and Individual Competences—Empirical Research Study among Polish and Slovak Employees of the Aviation Sector

Nowadays, taking into account the multidimensionality of the external environment and necessity of the sustainable development of human resources, organizations are obliged to take more care of the psychological resources of their employees, e.g., positive orientation, ego resilience, and emotional stability. Such resources affect how we cope with stress and a sense of threat. The authors of this paper focus on people employed in the aviation sector, who work in the hard-to-cope environment of full automation, demanding working conditions and numerous stressors. The presented study fills a gap in the research on the psychological characteristics of the aviation sector. Moreover, a sense of stress/threat is described in the context of the high specificity of employees representing the 4.0 sector. Therefore, it provides additional insights into the psychological functioning of the employees in the aviation sector. The results show that both positive orientation and ego resilience might be seen as protective factors against a sense of threat and stress, while a type D personality is a risk factor of a higher level of those psychological states. The novelty of the presented research concerns a better understanding of the sense of stress/threat experienced by the employees in this sector, as well as verifying the relationships between psychological variables described in the literature as personal resources.