Preview

Architecture, Construction, Transport

Advanced search

The task of developing an intelligent automated recruitment system for a "smart" company in the building industry

https://doi.org/10.31660/2782-232X-2022-2-86-94

Abstract

The work of the personnel department of the company largely determines the effectiveness of its activities. Planning, organizing, accounting, and controlling the staff work are management functions that can and should be automated in the era of digital transformation. The authors have assessed the functionality of the HR-service of the construction firm; they have carried out the decomposition of first and second level of recruitment and data processing tasks to assess the possible priority of automation of personnel processes in the intelligent system of personnel planning of the construction enterprise.

About the Authors

O. F. Danilov
Industrial University of Tyumen
Russian Federation

Oleg F. Danilov, Doctor of Engineering, Professor, Head at the Department of Automobile Transport, Construction and Road Machines

Tyumen



D.  R. Nikolaeva
Industrial University of Tyumen
Russian Federation

Darya R. Nikolaeva, Candidate of Engineering, Associate Professor at the Department of Automobile Transport, Construction and Road Machines

Tyumen



V. O. Domansky
Industrial University of Tyumen
Russian Federation

Vladimir O. Domansky, Senior Lecturer at the Department of Automobile Transport, Construction and Road Machines

Tyumen



M. O. Zakharova
JSC "Mostostroy-11"
Russian Federation

Maria O. Zakharova, Design Engineer

Tyumen



References

1. Blokhina, O. A., & Petrova, E. S. (2009). HRM-sistemy v upravlenii personalom. Sistemnoe upravlenie, (2(5)), pp. 1-8. (In Russian). Available at: http://sisupr.mrsu.ru/2009-2/pdf/9.9_Blocina.pdf (accessed 25.06.2021).

2. Tikhonov, A. I., Fedotova, M. A., & Chekan, A. A. (2019). The problems and peculiarities of automation of recruitment. Moscow Economic Journal, (10), p. 29. (In Russian).

3. Baranovskaya, T. P., Vostroknutov, A. E., & Berezovsky, V. S. (2016). The study of HRM systems: market analysis, selection and implementation for medium-sized and large businesses. Polythematic Online Scientific Journal of Kuban State Agrarian University, (115), pp. 707-729. (In Russian).

4. Bazarov, T. Yu., Eremin, B. L., Aksenova, E. A., Malinovskiy, P. V., & Malinovskaya, N. M. (2017). Upravlenie personalom. Moscow, YuNITI-DANA Publ., 560 p. (In Russian).

5. Zabrodin, Yu. M. (2016). Psikhologiya lichnosti i upravleniya chelovecheskimi resursami. Moscow, Delo Publ., 299 p. (In Russian).

6. Sotnikova, D. A. (2016). Methods of search of personnel. New University, (8(66)), pp. 57-67. (In Russian). Available at: https://cyberleninka.ru/article/n/metody-poiska-personala (accessed 21.04.2020).

7. Karatygin, D. A., Fomicheva, O. E., & Kharakhan, O. G. (2016). Intellectual system for support specialist personnel management staff, based on fuzzy sets. Mining Informational and Analytical Bulletin (Scientific and Technical Journal), (6), pp. 171-178. (In Russian).

8. Kupriyanovsky, V., Akimov, A., Pokusaev, O., Alenkov, V., Namiot, D., & Sinyagov, S. (2017). Intellectual mobility and mobility as a service in smart cities. International Journal of Open Information Technologies, 5(12), pp. 77-122. (In Russian).

9. Kolesov, V. I. & Danilov, O. F. (2018). Strategiya ustoychivogo innovatsionnogo razvitiya goroda v ramkakh kontseptsii Smart City. Sovremennye trendy razvitiya stran i regionov – 2018: Materialy mezhdunarodnoy nauchno-prakticheskoy konferentsii: v 2 tomakh, December, 07. Tyumen, Industrial University of Tyumen Publ., 2, pp. 78-83. (In Russian).

10. Danilov, O. F., & Nikolaeva, D. R. (2020). How to build a smart city? Tsifrovizatsiya kak drayver rosta nauki i obrazovaniya, pp. 170-188. (In Russian).


Review

For citations:


Danilov O.F., Nikolaeva D.R., Domansky V.O., Zakharova M.O. The task of developing an intelligent automated recruitment system for a "smart" company in the building industry. Architecture, Construction, Transport. 2022;(2):86-94. (In Russ.) https://doi.org/10.31660/2782-232X-2022-2-86-94

Views: 22


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2782-232X (Print)
ISSN 2713-0770 (Online)