System of end-to-end internal control based on artificial intelligence in agrosphere organizations
https://doi.org/10.28995/2782-2222-2024-4-18-31
Abstract
In the study, the author’s team considers the issues of developing and testing a system of end-to-end internal control in agricultural organizations using artificial intelligence (AI). In the dynamically changing market environment, such a system becomes a necessary stage for the successful development of agricultural organizations. It allows for effective risk management and adaptation to unpredictable external and internal factors characteristic of the agricultural sector. The proposed system of end-to-end internal control based on AI covers all aspects of the organization’s activities and ensures continuous control throughout the entire technological cycle. It helps to identify and eliminate issues related to product quality, safety and compliance with standards in a timely manner. The use of modern information technologies in the control activities of agrosphere organizations, proposed in the article, allows for a proactive launch of a mechanism for leveling risks associated with the human factor and continuously monitor the impact of factors of the external and internal business environment of an economic entity on the basis of operational information and analytical mechanisms.
About the Authors
Yu. N. KatkovRussian Federation
Yuriy N. Katkov, Cand. of Sci. (Economics), associate professor
bld. 6, Miusskaya Square, Moscow, 125047
A. A. Romanova
Russian Federation
Anastasia A. Romanova, Cand. of Sci. (Economics)
bld. 6, Miusskaya Square, Moscow, 125047
S. I. Smychkov
Russian Federation
Semyon I. Smychkov
bldg. 3, bld. 18, Pyatnitskaya Street, Moscow, 115035
P. D. Shalaev
Russian Federation
Pavel D. Shalaev
bldg. 3, bld. 18, Pyatnitskaya Street, Moscow, 115035
References
1. Bootle, R. (2023), Iskusstvennyi intellekt i ekonomika: Rabota, bogatstvo i blagopoluchie v epokhu myslyashchikh mashin [Artificial Intelligence and Economics. Work, Wealth and Welfare in the Age of the Robot], Alpina PRO, Moscow, Russia.
2. Friedman, A. (2022), Kontrol’ v regulyarnom menedzhmente: moshchnyi resurs povysheniya effektivnosti upravleniya [Control in regular management. A powerful resource for improving management efficiency], Dobraya kniga, Moscow, Russia.
3. Kasyuk, E.A. (2015), “Internal control in management system of a business entity: modern methods and approaches to assessment and improvement its effectiveness”, Herald of Omsk University, Series “Economics”, no. 4, pp. 38–45.
4. Kolesov, E.S., Pronina, A.M. and Sakharov, G.V. (2016), Vnutrennii kontrol’ effektivnosti deyatel’nosti kommercheskoi organizatsii: sistemnyi podkhod; monografiya [Internal control of a commercial organization performance. System approach. Monograph], Rusains, Moscow, Russia.
5. Kryshkin, O. (2021), Nastol’naya kniga po vnutrennemu auditu: Riski i biznes-protsessy [Internal Audit Handbook. Risks and Business Processes], 5 th ed., Alpina Publisher, Moscow, Russi
Review
For citations:
Katkov Yu.N., Romanova A.A., Smychkov S.I., Shalaev P.D. System of end-to-end internal control based on artificial intelligence in agrosphere organizations. Science and art of management. 2024;(4):18-31. (In Russ.) https://doi.org/10.28995/2782-2222-2024-4-18-31