Sultanova Faniya R.

Relevance. Recruitment and organizational culture can be important strategic resources for retaining the most promising employees and reducing organizational turnover.

The purpose of the work is to search for predictors of the organizational culture' attractiveness among individual factors of personnel with access to forecasting staff turnover.

Methods and sampling. A comprehensive study of employees of three industrial enterprises was conducted. A total of 131 people, 105 men and 26 women, took part in the study. The package of standardized methods included: "Questionnaire for assessing subjectively important performance characteristics", "Career anchors", "Diagnostics of the motivational structure", "Attractiveness of organizational culture”, "Assessment of the subjective attitude to organizational culture" .

Results. The result of statistical analysis was received four factor structure of the organizational culture' attractiveness: motivational factor, communicative interaction, stable operation and the uncertainty. The contribution of employees' individual factors for assessing the organizational culture' attractiveness of industrial enterprises was revealed. In order to reduce the potential employees' turnover, it is necessary to select personnel with attitudes to the balance of personal and professional life and without a motivation for management. The organizational culture should be focused on providing conditions for sustainable functioning – working hours, wages, working conditions. These factors are crucial for making a decision to leave the organization.

Conclusions. The data obtained in our study can be useful for HR managers and managers of industrial organizations. They can influence the employees' turnover by changing the organizational culture or selecting personnel with certain motivation.

Relevance. Professional reliability is a complex multidimensional construct that is used to predict the professional success of specialists working in extreme conditions. Such forecasting is possible in large-scale studies using complex multi-stage modeling, but the forecast will be abstract, not applicable to individual cases. An alternative is to predict certain aspects of success. At the same time, the components of “personal reliability” have the greatest predictive value, since with the development of civilization and changes in the “man-machine” relationship, the internal content of professional reliability shifted from a predominantly functional component to motivational, moral and socio-psychological, including the phenomenon of self-regulation. 

The purpose of the research is to study the components of personal reliability as possible predictors of certain aspects of professional success of rescuers. 

Sample:31 specialists (men), rescuers of one of the Subdivision Ministry of Emergency Situations AQUASPASS, aged 24 to 45 years. 

Research methods: expert assessment of professional success; self-assessment of the level of professionalism; case method; test questionnaire A.V. Zverkova and E.V. Eydman “Research of volitional self-regulation”; “11 personality factors”; test “Motivational Profile” by Ritchie S., Martin P.; Rosenzweig frustration test; “Express methodology” for studying the social and psychological climate in a team (OS Mikhalyuk and A.Yu. Shalyto); diagnostics of the attractiveness of labor (V.M. Snetkov). 

Conclusions (briefly): a) it is possible to use the indicator of success in a training situation as a predictor of professional success; b) the influence of each of the components of personal reliability on different aspects of professional success is differentiated, therefore, forecasting is more optimal also in differentiated options; c) the effectiveness of socio-psychological interaction makes an important contribution to professional success, and the components of the socio-psychological climate play different roles in this. 

Acknowledgments: The study was carried out with funding from grant 19-013-00799 A “Predictive model of adaptability and reliability of professionals in extreme working conditions”.