Stress and psychological resilience in intervention and rescue activities

Nature of intervention and rescue personnel activity places them at the top of professions that face a considerable number of occupational health and safety risks. Often, this occupational category does not face a single safety risk, but a complex combination of risk factors, including unpredictability of situations in which they are required to work. Emergence of stress and other psychosocial risks in work processes requires the implementation of an anticipatory attitude and a constant level of vigilance to identify and evaluate them. In intervention and rescue, the issue of regulating and self-regulating the individual’s behaviour is essential, as exceptional acts performed in unusual conditions require adaptive mechanisms as close as possible to perfection. Developing resilience should focus on amplifying already present strengths (physical and mental characteristics and abilities), rather than managing negative effects of operational stressors. The current paper presents a theoretical approach of the concept of resilience, appliable to intervention and rescue activities and suggests several ways to develop rescuer’s resilience.

Vulnerability and Risks of Undeclared Work through the Eyes of Employees from Bulgarian Economy

The article presents recent empirical data from a national representative survey amongst Bulgarian employees, conducted within the framework of a project implementation by BICA studying undeclared work and the risks of its occurrence in enterprises. The study focuses on establishing, explaining and analyzing the relationships between the nature of employment and its duration and the propensity of undeclared work emergence, taking into account the growing spread of atypical forms of employment coupled with accelerated digitalization. The risks of inclusion in undeclared work practices of different categories of people, according to their basic characteristics, such as educational status, qualification and professional and specific experience in employment, have also been studied. The article presents new empirical data, which is valuable for allowing, based on their analysis, the formulation of relevant policies and measures for reducing and preventing undeclared work.

Artificial Intelligence, Cloud Librarianship, and Infopreneurship Initiatives for Inclusiveness

Artificial intelligence (AI) is a broad and complex area of study, which can be difficult for non-specialists to understand. Yet, its ultimate promise is to create computer systems that manifest human intelligence. This chapter coins “Machinzation” for the application of literary machine (computer) to human operations. This clearly has major implications for library and information science profession. In principle and practice, AI has penetrated virtually all walks of human life. Many authors have previously provided in-depth overviews of AI technologies. Service is the vocal point of librarianship and particularly in the era where information is the fifth and most important factor of production. Cloud computing stems from the principle of AI while when applied into the operations and routines in libraries and information center gives a brand new concept “CloudLibrarianship.” The new concept is dealt with in this work. Emergence of this concept opens up the entrepreneur opportunities in the information sector of the economy-inforpreneurship. This chapter therefore examines certain key aspects of AI that determine its potential utility as a tool for enhancing and supporting library operations.