Vol. 8 No. 22 (2019)
Articles

Competency-based approach to the assessment of specialists using the theory of fuzzy sets

Lev Isakovitch Ushvitskiy
Russian Federation, North Caucasus Federal University (NCFU)
Author Biography

Russian Federation, North Caucasus Federal University (NCFU)

Tat’yana Anatol’evna Kulagovskaya
Russian Federation, North Caucasus Federal University (NCFU)
Author Biography

Russian Federation, North Caucasus Federal University (NCFU)

Anna Alexandrovna Ter-Grigor'yants
Russian Federation, North Caucasus Federal University (NCFU)
Author Biography

Russian Federation, North Caucasus Federal University (NCFU)

Natalia Vladimirovna Maslennikova
Russian Federation, North Caucasus Federal University (NCFU)
Author Biography

Russian Federation, North Caucasus Federal University (NCFU)

Ekaterina Evgenevna Puchkova
Russian Federation, North Caucasus Federal University (NCFU)
Author Biography

Russian Federation, North Caucasus Federal University (NCFU)

Published 2019-09-26

Keywords

  • Competency units, corporate culture, linguistic variables of a qualification competency unit, a qualification portrait of an employee.

How to Cite

Ushvitskiy, L. I., Kulagovskaya, T. A., Ter-Grigor'yants, A. A., Maslennikova, N. V., & Puchkova, E. E. (2019). Competency-based approach to the assessment of specialists using the theory of fuzzy sets. Amazonia Investiga, 8(22), 31–39. Retrieved from https://amazoniainvestiga.info/index.php/amazonia/article/view/25

Abstract

Corporate culture is one of the main factors of the inner environment of an organization that forms prerequisites for the effective use of labor resources. The concept of corporate culture, its significance, composition and properties were studied by many Russian and foreign scientists. However, the methods of modeling the qualification portrait of a specialist in the process of forming the corporate culture of an organization are still to be studied. The article considers such properties of corporate culture as dynamics, systemic character, heterogeneity, structuredness of elements, relativity, commitment and adaptability. In the process of using qualification competency units in the formation of the corporate qualification portrait of a specialist, the authors offer a methodological toolkit that allows receiving detailed assessment data, the apparatus of fuzzy sets in particular. Further, a typical assessment model of qualification competency units of employees of an economic entity can be specified taking into account the data about the profile of a particular position or the content of an aggregate qualification matrix in the structural parts of an organization.

Downloads

Download data is not yet available.

References

Armstrong M., Taylor S. (2014). Handbook of Human Resource Management Practice 13th ed. Kogan Page. 880 p.

Groshev, I.V. Krasnoslobodtsev, A.A. (2015). Organizational culture: textbook for students of management and economics. M.: UNITY-DANA, 2015, 535.

Isachenko, I.I., Yelizarova, O.I., Kondrus, Ye.A., Mashinskaya, I.S. (2013). Managing human resources. Available at: http://hi-edu.ru/e-books/xbook962/01/part-008.htm

Kozlov, V.V., Kozlova, A.A. (2000). Corporate culture: costume of successful business. Personnel management. Moscow: Focus, 514 p.

Makarchenko, M.A. (2004). Methodology and methodology of designing the company's culture in the process of creating flexible organizational structures. SPb., 215 p.

Pirog, Ya. Yu. (2012). Corporate culture: sources, traditions, modern condition, development tendencies. M.: Laboratoriya knigi, 105.

Sandler, U., Tsitolovsky, L. (2008). Neural cell behavior and fuzzy logic. Springer, 478. ISBN 978-0-387-09542-4.

Shapiro, S.A. (2015). The concepts of managing human resources: textbook. Moscow-Berlin: Direct-Media, 342.

Tomilov, V.V. (2003). Management Moscow: Yurayt-Izdat, 591 p.

Yermolov, Yu.A. (2012). Subject-content relationship definitions of “organizational culture” and “corporate culture”. Tambov University Review. Series Humanities, 9 (113), 78-85.

Zadeh, L.A. (1976). The concept of a linguistic variable and its application to approximate reasoning. M.: Mir, 166.