Justification and development of a hybrid algorithm for managerial decision-making under the conditions of the AIC digital transformation

Valentina Tkachenko; Vasily Linnik; Elena Chebotareva; Vladimir Griguletsky; Natalia Kovalenko

doi:10.55186/25876740_2025_68_7_921

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JUSTIFICATION AND DEVELOPMENT OF A HYBRID ALGORITHM FOR MANAGERIAL DECISION-MAKING UNDER THE CONDITIONS OF THE AIC DIGITAL TRANSFORMATION Justification and development of a hybrid algorithm for managerial decision-making under the conditions of the AIC digital transformation

АА Аа

Published in INTERNATIONAL AGRICULTURAL JOURNAL · Issue 7 · Pages 921–925 · Rubric: Agrarian reform and forms of managing

DOI: https://doi.org/10.55186/25876740_2025_68_7_921

Received: 09.11.2025 Accepted: 04.12.2025 Published: 14.12.2025

Authors

Valentina Tkachenko

ORCID

Vasily Linnik

ORCID

Elena Chebotareva

ORCID

Vladimir Griguletsky

et al.

Natalia Kovalenko

ORCID

Valentina Tkachenko

Academic degree: doctor of economic sciences

Science rang: professor

Luhansk Voroshilov State Agricultural University head of the department · department of economic theory and economic security · Russian Federation · Lugansk

ORCID

Vasily Linnik

Academic degree: doctor of agricultural sciences

Science rang: professor

Luhansk Voroshilov State Agricultural University head of the department · department of animal nutrition and breeding · Russian Federation · Lugansk

ORCID

Elena Chebotareva

Academic degree: candidate of economic sciences

Luhansk Voroshilov State Agricultural University associate professor of the department · department of economic theory and economic security · Russian Federation · Lugansk

ORCID

Vladimir Griguletsky

Academic degree: doctor of economic sciences

Science rang: professor

I.T. Trubilin Kuban State Agricultural University head of the department · department of higher mathematics · Russian Federation · Krasnodar

Natalia Kovalenko

Academic degree: doctor of economic sciences

Science rang: professor

Donbass State Technical University head of the department · department of economics and management · Russian Federation · Alchevsk

ORCID

ABSTRACT

The article is devoted to the problem of improving the efficiency of managerial decision-making in the agro-industrial complex under the conditions of digital transformation. The current stage of agricultural development is characterized by the intensive implementation of digital technologies, which leads to a sharp increase in the volume and diversity of data available for analysis and forecasting. Under these circumstances, traditional management methods based on retrospective assessments and expert experience demonstrate limited effectiveness and require a fundamental revision. The article substantiates the need to move from static and linear models to adaptive, self-learning management systems that integrate analytical, cognitive, and predictive components. Particular attention is paid to the role of artificial intelligence in ensuring the stability and predictability of production business processes, as well as to maintaining the importance of the human factor in data interpretation and strategic decision-making. The purpose of the study is to develop and substantiate a hybrid algorithm for managerial decision-making that integrates the practical experience of agricultural specialists with the computational capabilities of artificial intelligence. The algorithm is based on the principles of adaptability, cognitive compatibility, and iterative learning, which makes it possible to increase the accuracy, predictability, and resilience of management processes under conditions of high uncertainty in agricultural production. The developed algorithm was tested in a model experiment using production monitoring data, which confirmed its effectiveness and applicability in the practice of digital management of agri-food systems.

KEYWORDS

managerial decision-making, hybrid algorithm, digitalization of the agro-industrial complex, intelligent system

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Tkachenko V. G., Linnik V. S., Chebotareva E. N., Griguletsky V. G., Kovalenko N. V. Justification and development of a hybrid algorithm for managerial decision-making under the conditions of the AIC digital transformation // INTERNATIONAL AGRICULTURAL JOURNAL. 2025. no. 7. pp. 921-925. DOI: https://doi.org/10.55186/25876740_2025_68_7_921. (Date of access 05.11.2026).

MLA

Valentina Tkachenko, Linnik V. S., Chebotareva E. N., Griguletsky V. G., Kovalenko N. V.. "Justification and development of a hybrid algorithm for managerial decision-making under the conditions of the AIC digital transformation." INTERNATIONAL AGRICULTURAL JOURNAL.7 (2025): 921-925. DOI: https://doi.org/10.55186/25876740_2025_68_7_921.

APA

Tkachenko V. G., Linnik V. S., Chebotareva E. N., Griguletsky V. G., Kovalenko N. V. (2025). Justification and development of a hybrid algorithm for managerial decision-making under the conditions of the AIC digital transformation. INTERNATIONAL AGRICULTURAL JOURNAL(7), 921-925. https://doi.org/10.55186/25876740_2025_68_7_921

Chicago

Valentina Tkachenko, Linnik V. S., Chebotareva E. N., Griguletsky V. G., Kovalenko N. V.. "Justification and development of a hybrid algorithm for managerial decision-making under the conditions of the AIC digital transformation." INTERNATIONAL AGRICULTURAL JOURNAL, no. 7 (2025): 921-925. https://doi.org/10.55186/25876740_2025_68_7_921.

WIKI

{{cite journal | author = Tkachenko V. G., Linnik V. S., Chebotareva E. N., Griguletsky V. G., Kovalenko N. V. | title = Justification and development of a hybrid algorithm for managerial decision-making under the conditions of the AIC digital transformation | journal = INTERNATIONAL AGRICULTURAL JOURNAL | year = 2025 | issue = 7 | pages = 921-925 | doi = 10.55186/25876740_2025_68_7_921 }}

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JUSTIFICATION AND DEVELOPMENT OF A HYBRID ALGORITHM FOR MANAGERIAL DECISION-MAKING UNDER THE CONDITIONS OF THE AIC DIGITAL TRANSFORMATION Justification and development of a hybrid algorithm for managerial decision-making under the conditions of the AIC digital transformation

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