Open Access 10 January 2022

Predictors of successful professional activity of Ukrainian civil service specialists in emergency situations

Received 10.01.2022
Revised 10.01.2022
Accepted 10.01.2022

Abstract

The article presents the results of an empirical study to establish predictors of successful (effective) professional activity of emergencies specialists. The study was conducted in several stages. At the first stage, its participants were 25 ordinary citizens aged 18 to 65 and 15 professionals with experience in emergencies and representing the age group 22-45. Two focus groups were conducted: the first – with ordinary citizens (90 minutes), the second – with specialists (120 minutes). As a result, a list of professional competencies of a specialist in the extreme field of activity was formed. This list also contained competencies (as some respondents did not distinguish between competencies and competencies due to low level of awareness) and consisted of 27 items. A semi-structured interview was conducted with each expert (20 minutes). The group of experts consisted of 12 people (police, military, rescuers, psychologists). The selection of experts was carried out taking into account the following criteria: experience of at least five years, participation in the elimination of the consequences of emergencies (floods, fires, hostilities, accidents). In the end, erroneously included competencies were removed from the list, and some were combined into competencies. Subsequently, the experts were asked to identify the essential competencies for predicting successful professional activity. Each professional competence had to be assessed on a five-point scale. The frequency of representation of a certain competence was calculated based on the obtained data. This made it possible to determine the predictors of successful professional activity of emergencies specialists, in particular, such competencies as tolerance for uncertainty and risk competence. The article also presents the results of a review of theoretical and empirical research on the phenomena of «tolerance for uncertainty» and «risk-taking». It offers psychological tools for studying these phenomena. The main conclusion of our analysis is that attempts to understand better the phenomena of tolerance for uncertainty and risk-taking are not currently effective enough to achieve a single conceptual definition or an adequate empirical measure covering the full range of tolerances and uncertainties. This significantly complicates the practical acquisition of competencies necessary for the successful (effective) professional activity of emergencies specialists. And questionnaires, which are the main psychological tools, are too subjective

professional success predictors of success tolerance for uncertainty risk competence

References

[1] Blatn, M., Millov, K., Jelnek, M., & Oseck, T. (2015). Personality Predictors of Successful Development: Toddler Temperament and Adolescent Personality Traits Predict Well-Being and Career Stability in Middle Adulthood. Retrieved from https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0126032&type=printable. (in English)

[2] Blicke, G. (1996). Personality traits, learning strategies, and performance. European Journal of Personality, 10, 337–352. (in English)

[3] Bovin, B. G., Kokurin, A. V., & Krasov, D. A. (2010). Prognozirovaniye professionalnoy uspeshnosti sotrudnikov otdelov spetsialnogo naznacheniya Federalnoy sluzhby ispolneniya nakazaniy Rossii [Forecasting the professional success of the employees of the special-purpose departments of the Federal Penitentiary Service of Russia]. Voprosy psikhologii ekstremalnykh situatsiy, 2, 18–47. (in Russian)

[4] Budner, S. (1962). Intolerance of ambiguity as a personality variable. Journal of Personality, 30, 29– 50. (in English)

[5] Connor-Smith, J. K., & Flaschbart, C (2007). Relations between personality and coping: A metaanalysis. Journal of Personality and Social Psychology, 93, 1080–1107. (in English)

[6] Costa, P. T. Jr., & McCrae, R. R. (1980). Influence of extraversion and neuroticism on subjective well-being: Happy and unhappy people. Journal of Personality and Social Psychology, 38, 668–678. (in English)

[7] De-Juan-Ripoll, C., Soler-Domнnguez, J. L., Guixeres, J., Contero, M., Gutiйrrez, N. Б., & Alcaсiz, M. (2017). Virtual Reality as a New Approach for Risk Taking Assessment. Retrieved from https://doi.org/10.1016/j.socscimed.2017.03.024. (in English)

[8] Eid, M., & Larsen, R. J. (Еds.) (2008). The science of subjective well-being. New York, London: The Guilford Press. (in English)

[9] Ganzach, Y. (2011). A dynamic analysis of the effects of intelligence and socioeconomic background on job-market success. Intelligence, 39 (2-3), 120–129. (in English)

[10] Gottfredson, G. D., Jones, E. M., & Holland, J. L. (1993). Personality and vocational interests: The relation of Holland’s six interest dimension to five robust dimensions of personality. Journal of Counseling Psychology, 40, 518–524. (in English)

[11] Han, P. K. J., Klein, W. M. P. P., & Arora, N. K. (2011). Varieties of uncertainty in health care: a conceptual taxonomy. Medical Decision Making, 31, 828–838. (in English)

[12] Hillen, M. A., Gutheil, C. M., Strout, T. D., Smets, E. M. A., & Han, P. K. J. (May 2017). Tolerance of uncertainty: Conceptual analysis, integrative model, and implications for healthcare. Social Science and Medicine,180, 62–75. (in English)

[13] Huppert, F. A., Baylis, N., & Kaverne, B. (Еds.) (2005). The science of well-being. Oxford: Oxford University Press. (in English)

[14] Judge, T., Higgins, C., Thoresen, C., & Barrick, M. (1999). The big five personality traits, general mental ability, and career success across the life span. Personnel Psychology, 52, 621–652. (in English)

[15] Kolesnichenko, O. S., Matsehora, Yа. V., Vorobiova, I. V., Prykhodko, I. I., Timchenko O. V., Horelyshev, S. A. … Penkova, N. Ye. (2019). Psykholohichna hotovnist do ryzyku viіskovosluzhbovtsiv Natsionalnoi hvardii Ukrainy [Psychological readiness for risk of servicemen of the National Guard of Ukraine]. Kharkiv: NANHU. (in Ukrainian).

[16] McCrae, R. R., & Costa, P. T. Jr. (1991). Adding Liebe and Arbeit: The full five-factor model and well-being. Personality and Social Psychology Bulletin, 17, 227–232. (in English)

[17] McLain, D. L. (1993). The MSTAT-I: a new measure of an individual’s tolerance for ambiguity. Educational and Psychological Measurement, 53, 183–189. (in English)

[18] Ng, T. W. H., & Feldman, D. C. (2014). Community embeddedness and work outcomes: The mediating role of organizational embeddedness. Human Relations, 67, 71–103. (in English)

[19] Pavot, W., & Diener, E. (2011). Personality and happiness: Predicting the experience of subjective wellbeing. In T. Chamorro-Premuzic, S. von Stumm, A. Furnham (Еds.), The Wiley-Blackwell handbook of individual differences (pp. 699–717). Oxford: Blackwell Publishing Ltd. (in English)

[20] Rodygina, Yu. K., Deryagina, L. Ye., & Solovyev, A. G. (2005). Psikhofiziologicheskiye markery professionalnoy uspeshnosti sotrudnikov podrazdeleniy organov vnutrennikh del [Psychophysiological markers of professional success of employees of departments of internal affairs bodies]. Ekologiya cheloveka, 10, 33–38. (in Russian)

[21] Rybnikov, V. Yu. (2000). Psikhologicheskoye prognozirovaniye nadezhnosti deyatelnosti spetsialistov ekstremalnogo profilya: dis. dokt. psikhol. nauk [Psychological forecasting of the reliability of the activities of extreme specialists: PhD thesis in Psychology]. St. Petersburg. (in Russian)

[22] Rybnikov, V. Yu., & Ashanina, Ye. N. (2012). Psikhologiya koping-povedeniya spetsialistov opasnykh professiy [Psychology of coping behavior of specialists in dangerous professions]. St. Petersburg: Politekhnika-servis. (in Russian)

[23] Rybnikov, V., Dubinskaya, A., & Bulygina, V. Individualno-psikhologicheskiye prediktory adaptatsii i dezadaptatsii spetsialistov ekstremalnogo profilya deyatelnosti [Individual psychological predictors of adaptation and maladjustment of specialists with an extreme profile of activity]. https://cyberleninka.ru/article/n/individualno. (in Russian)

[24] Swider, B. W., & Zimmerman, R. D. (2010). Born to burnout: A meta-analytic path model of personality, job burnout, and work outcomes. Journal of Vocational Behavior, 76, 487–506. (in English)

[25] Weber, E. U., Blais, A.-R., & Betz, E. (2002). A Domainspecific risk-attitude scale: Measuring risk perceptions and risk behaviors. Journal of Behavioral Decision Making, 15, 263–290. (in English)

Suggested citation

Sivers, Z. (2021). Predictors of successful professional activity of Ukrainian civil service specialists in emergency situations. Scientific Studios on Social and Political Psychology, 27(2), 44-54. https://doi.org/10.61727/sssppj/2.2021.44

Type to search...