READINESS FOR RISK AS A FACTOR IN THE PROFESSIONAL FULFILMENT OF EMPLOYEES IN HIGH-RISK OCCUHATIONS

Abstract

The article emphasises that the professional fulfilment of rescuers of the SES, employees of the National Police of Ukraine and the Security Service of Ukraine, as well as other professionals whose activities often involve a threat to their own life and health, directly depends on their willingness to make risky decisions.

To achieve the objectives of the article, the author examines the key

concepts of ‘risk’, ‘risk readiness’, and ‘professional implementation’. It is noted that risk can be associated with professional activity, the need to make a decision, the desire to preserve or obtain a certain benefit, in particular, positive emotions. But, in any of these cases, to take a risk means to act in conditions of insufficient information, uncertainty about the positive outcome of one's activities, and awareness of the possibility of losses as a result of the decision.

The article also presents the results of an empirical study of the relationship between the risk-taking behaviour of SESU employees and their professional performance.

This study was carried out with the help of: the author's questionnaire, which made it possible to collect socio-demographic data of the respondents; the methodology ‘Diagnostics of the degree of risk readiness’ (H. Schubert), which is designed to assess the individual level of risk readiness, in particular, in conditions of physical danger or uncertainty (in the study it was used to study the tendency of SES employees to risky behaviour as an element of professional activity); and the methodology ‘Type and level of professional self-realisation’ (K. Gavrilova), the purpose of which is to identify the main trends and patterns in the professional development of SES employees. To identify the main trends and patterns, as well as to summarise and describe the results of the empirical study, methods of mathematical data processing were used: descriptive statistics and non-parametric statistics (Shapiro-Wilk test, correlation analysis by Spearman and Pearson).