Artificial intelligence for optimized routine administrative tasks: Opportunities, challenges and prospects

Abstract

Introduction. Artificial intelligence (AI) is a field of computer science aimed at creating systems to perform tasks that require intellectual abilities. Digital economy combined with AI creates new opportunities, including optimized administrative routine tasks executed by the heads of modern commercial organizations. This gives the relevance to the present research.

Purpose. The purpose is to study trends in AI development for optimized routine administrative tasks, outline perspective areas for its further development.

Methods. The study refers to general traditional scientific methods: deduction, analysis, systematization.

Results. The author explores the trends in the development of artificial intelligence, reviews and describes the technologies and methods of its use in management. The use of AI technologies in the Russian enterprises is also looked at.

Conclusions. The study reveals that the introduction of AI technologies to deal with administrative routine tasks provides an opportunity to simplify and accelerate the work of employees, and improve production efficiency. This causes many Russian companies to start using AI in their activities or further integrate it into the management process.

Keywords: artificial intelligence, digitalization, management, optimization, management solutions, routine tasks, information technology

For citation

Izmaylov M. K. Artificial intelligence for optimized routine administrative tasks: Opportunities, challenges and prospects. Perm University Herald. Economy, 2024, vol. 19, no. 4, pp. 395–408. DOI 10.17072/1994-9960-2024-4-395-408. EDN FCRTKM.

REFERENCES

1. Lyubimov А. P. Main approaches to the definition of “Artificial Intelligence”. Nauchno-tekhnicheskaya informatsiya. Seriya 2. Informatsionnye protsessy i sistemy, 2020, no. 9, pp. 1–6. (In Russ.). DOI 10.36535/0548-0027-2020-09-1. EDN IWYMKN
2. Sekerin A. Blockchain technology development as tool for enhancing security in management and protection of intellectual property rights in additive manufacturing. Revista Gestão Inovação e Tecnologias, 2021, vol. 11, no. 2, pp. 1184–1200. DOI 10.47059/revistageintec.v11i2.1747
3. Dzyaloshinsky I. М. Artificial intelligence: A humanitarian perspective. Vestnik NSU. Series: History and Philology, 2022, vol. 21, no. 6, pp. 20–29. (In Russ.). DOI 10.25205/1818-7919-2022-21-6-20-29. EDN TNLNGV
4. Chandratre A., Pathak A. Blockchain based intellectual property management. SSRN, 31 Mar 2021, 6 p. DOI 10.2139/ssrn.3800734
5. Mamman S. O., Sohag K. Inclusive growth and structural transformation: The role of innovation and digitalization spillover. Ekonomika regiona = Economy of regions, 2023, vol. 19, no. 3, pp. 598–611. DOI 10.17059/ekon.reg.2023-3-1. EDN HPYMPN
6. Izmaylov M. K., Livintsova M. G. Directions of human resources development in the process of digital business transformation. Tendentsii ekonomicheskogo razvitiya v XXI veke (Minsk, 01 marta 2023 goda): v 2 chastyakh, chast' 2 / pod redaktsiei A. A. Korolevoi, Minsk, Belorusskii gosudarstvennyi universitet, 2023, pp. 187–190. (In Russ.). EDN IRTJGB
7. Eskindarov М. А., Gruzina Yu. М., Kharchilava Kh. P., Melnichuk М. V. The role of human capital in the digital economy at the institutional and regional levels. Ekonomika regiona = Economy of Regions, 2022, vol. 18, no. 4, pp. 1105–1120. (In Russ.). DOI 10.17059/ekon.reg.2022-4-10. EDN CRJZYS
8. Gromova E. A. Otsenka urovnya organizatsionnoi gibkosti predpriyatiya. Horizons of Economy, 2023, no. 5 (78), pp. 23–30. (In Russ.). EDN MGCZZB
9. Tsenzharik М. K., Krylova Yu. V., Steshenko V. I. Digital transformations in companies: Strategic analysis, drivers and models. St Petersburg University Journal of Economic Studies, 2020, vol. 36, no. 3, pp. 390–420. (In Russ.). DOI 10.21638/spbu05.2020.303. EDN LJLLJT
10. Kuzmina Е. Yu., Zhernakova М. B. Organizational aspects of digitalization of management. Economic Systems, 2020, vol. 13, no. 1, pp. 95–101. (In Russ.). DOI 10.29030/2309-2076-2020-13-1-95-101. EDN MJRNLL
11. Mugaeva Е. V. Digital transformation as a modern vector of management development. Natural-Humanitarian Studies, 2021, no. 36 (4), pp. 194–197. (In Russ.). DOI 10.24412/2309-4788-2021-11298. EDN XDCGZC
12. Ermolaev D. А. Analysis of application and development of different types of artificial intelligence for the Russian economy. Scientific Works оf the Free Economic Society of Russia, 2021, vol. 229, no. 3, pp. 382–390. (In Russ.). DOI 10.38197/2072-2060-2021-229-3-382-390. EDN EMXEIP
13. Laptev V. А. Artificial intelligence and liability for its work. Law. Journal of Higher School of Economics, 2019, no. 2, pp. 79–102. (In Russ.). DOI 10.17323/2072-8166.2019.2.79.102. EDN GQATHO
14. Burgess E. Iskusstvennyi intellekt – dlya vashego biznesa. Rukovodstvo po otsenke i primeneniyu. Moscow, Intellektual'naya literatura, 2021. 232 p. (In Russ.).
15. Krivoshein D. I. Iskusstvennyi intellekt. Dostizheniya nauki i tekhnologii-DNiT-2021 (Krasnoyarsk, 10–11 dekabrya 2021 goda / otvetstvennyi redactor I. V. Kovalev. Kranoyarsk, Krasnoyarskii kraevoi Dom nauki i tekhniki, 2021, pp. 259–264. (In Russ.). EDN ZJZZPC
16. Kanareikin I. L. Rol' iskusstvennogo intellekta v ekonomike. Сollected Рapers LIII International Scientific-Practical conference «Russian Science in the Modern World». Moscow, Aktual'nost'.RF, 2023, pp. 76–78. (In Russ.). EDN OZHNHE
17. Sapunov А. V., Sapunova Т. V. The relevance of the introduction of artificial intelligence in production management at the enterprise. Economy and Business: Theory and Practice, 2022, no. 5-3 (87), pp. 47–50. (In Russ.). DOI 10.24412/2411-0450-2022-5-3-47-50. EDN CPFEDK
18. Bonnet M., Teuteberg F. Impact of blockchain and distributed ledger technology for the management of the intellectual property life cycle: A multiple case study analysis. Computers in Industry, 2023, vol. 144, Article 103789. DOI 10.1016/j.compind.2022.103789
19. Buklemishev О. V. Artificial intelligence in the public sector. Voprosy ekonomiki, 2022, no. 6, pp. 91–109. (In Russ.). DOI 10.32609/0042-8736-2022-6-91-109. EDN RBQKNV

Show full text