JOURNAL OF REGIONAL AND INTERNATIONAL COMPETITIVENESS JOURNAL OF REGIONAL AND INTERNATIONAL COMPETITIVENESS Журнал региональной и международной конкурентоспособности 2782-1927 106057 10.52957/2782-1927-2025-6-3-66-74 COMPANY COMPETITIVENESS COMPANY COMPETITIVENESS COMPANY COMPETITIVENESS Modern company management based on AI: a holistic and forecasting approaches Управление современной компанией в условиях цифровой трансформации на основе искусственного интеллекта: холистический и прогностический подходы https://orcid.org/0000-0001-8007-4381 Секисов Александр Николаевич Sekisov Aleksandr Nikolaevich alnikkss@gmail.com

кандидат экономических наук;

candidate of economic sciences;

 Кубанский государственный технологический университет Краснодар Россия Kuban State Technological University Krasnodar Russian Federation ФГБОУ ВО Кубанский государственный аграрный университет имени И.Т. Трубилина Krasnodar Россия Kuban State Agrarian University named after I.T. Trubilin Krasnodar Russian Federation 10 09 2025 10 09 2025 6 3 66 74 24 05 2025 30 06 2025 https://jraic.com/en/nauka/article/106057/view

В статье исследуются многогранные проблемы управления современной организацией в условиях неуклонно нарастающей динамики цифровой трансформации, уделяя особое внимание интеграции искусственного интеллекта (ИИ) в качестве ключевого элемента, обеспечивающего гибкость, адаптивность и проактивность. Представлена разработанная нами холистическая иерархическая экономико-математическая модель, органично синтезирующая стратегическое планирование, оперативное управление и предиктивную аналитику, опирающуюся на сложные алгоритмы машинного и глубокого обучения. Модель учитывает динамические взаимосвязи между внутренними и внешними факторами, оказывающими влияние на деятельность компании. Подробно рассматриваются практические аспекты имплементации ИИ в критически важные бизнес-процессы, включая анализ воздействия ИИ на ключевые показатели эффективности организации за ретроспективный период 2020-2024 гг. с учетом отраслевых особенностей, макро- и микроэкономических тенденций, а также социокультурных аспектов. Обосновывается, что целенаправленное внедрение ИИ не только интенсифицирует процессы принятия решений за счет минимизации когнитивных искажений и оптимизации временных затрат, но и оказывает влияние на оптимизацию операционных процессов, адаптацию к постоянно изменяющимся рыночным условиям, повышение уровня персонализации взаимодействия с клиентами и, как следствие, существенное увеличение конкурентоспособности компании в долгосрочной перспективе. Особое внимание уделяется этическим аспектам использования ИИ и необходимости разработки механизмов контроля и регулирования, обеспечивающих прозрачность, справедливость и ответственность при принятии решений.

The article examines the challenges of managing a modern company in increasing dynamics of digital transformation. Moreover, the integration of artificial intelligence (AI) is a key element ensuring company management flexibility, adaptability, and proactivity. The development of a holistic hierarchical economic-mathematical model synthesises strategic planning, operational management, and predictive analytics. The model is based on machine and deep learning algorithms, and considers dynamic interrelationships between internal and external factors influencing the company's activities. The research considers practical aspects of AI implementation in critical business processes, analyses its on companies key performance indicators, 2020-2024. It also studies industry specifics, macro- and microeconomic trends, and socio-cultural aspects. The implementation of AI intensifies decision-making, minimises cognitive biases, optimises time costs, affects the operational processes, increases both the level of customer interaction personalisation and the company's competitiveness. Moreover, the article concerns with AI ethical aspects, development of control and regulatory mechanisms to provide transparency, fairness, and responsible decision-making.

 цифровая трансформация; искусственный интеллект; экономико-математическое моделирование; холистический подход; прогностический подход digital transformation; artificial intelligence; economic and mathematical modeling; holistic approach; prognostic approach

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