Efficient self-regulation of human functional states as a predictor of work success under long-term innovation stress

INTRODUCTION: Research data indicate the necessity of efficient human functional states’ (HFS) self-regulations for successful work execution, and not only for those professionals, who work under extreme work conditions; efficient HFS self-regulation is discussed as one of the key professional competences in socionomic jobs as well (Friedman, 2003; Landy & Conte, 2021). Moreover, ability of efficient HFS self-regulation could be viewed as a differentiative competence for separation of professionals with normal and high work achievements (Spencer L. & Spencer S., 1993). OBJECTIVES: The empirical study was targeted to investigate HFS self-regulation efficiency as a predictor of work success under long-term innovation stress. METHODS: The longitudinal research was conducted in college teachers (n=50) during the period of organizational innovations. The empirical data were obtained by the diagnostic set of methods for self-assessment of attitudes towards innovations as a factor of long-term work strain, coping strategies and self-regulation means, chronic fatigue and burnout as the main consequences of long-term stress manifestations (Hobfoll, Dunahoo, Ben-Porath & Monnier, 1994; Leonova, 2012). RESULTS: The significant diversity in the level of HFS self-regulation efficiency in teachers with different work success has been found (p<0,05). Teachers with the highest level of work results have a well-developed system of self-regulation means, which allows them to cope with innovation stress. CONCLUSIONS: The empirical data revealed patterns of effective self-regulation means, which are adequate to situational requirement, professional norms and rules of organizational behavior. Obtained results formed the basis for the elaboration of training course for HFS self-regulation skills development. DISCLOSURE: No significant relationships.