Business management in the context of digital transformation based on artificial intelligence and big data: international experience and prospects for Russian management

Smetanin A.S.¹
¹ Волгоградский государственный технический университет

Journal paper

Informatization in the Digital Economy ^{(РИНЦ, ВАК)}
опубликовать статью | оформить подписку

Volume 5, Number 4 (October-December 2024)

Citation:

Indexed in Russian Science Citation Index: https://elibrary.ru/item.asp?id=80401070

Abstract:
The article examines the contribution of artificial intelligence and big data to the effectiveness of business management in the context of digital transformation and identifies opportunities for increasing the effectiveness of management in Russia based on these technologies. To this end, based on regression analysis, economic and mathematical modeling of business management in the context of digital transformation using artificial intelligence and big data was carried out. The author of the article summarizes the international experience of the top 30 countries in the world, business structures in which the technologies in question are most actively used in 2023. The main author's conclusion is that the data of artificial intelligence and big data technologies open new opportunities for improving the effectiveness of management in the context of digital transformation. The article substantiates the advantages of business management automation in the context of digital transformation, including increasing the flexibility of Russian business,growth of the added value of domestic business, and improvement of the effectiveness of innovation management in business. Based on the projection of international best practices on the Russian digital economy, the author made a forecast, which showed that due to the massive spread of artificial intelligence and big data and their application in management, the effectiveness of Russian business management will significantly increase. The forecast revealed the prospects of improving business management in Russia through the management automation of using artificial intelligence and big data.

Keywords: management, digital transformation, artificial intelligence, big data, business management in Russia

JEL-classification: G34, L26, M15, O32

Highlights:

Технологии искусственного интеллекта и больших данных обеспечивают рост гибкости менеджмента российского бизнеса.
Автоматизацию менеджмента в контексте цифровой трансформации целесообразно осуществлять с опорой на большие данные и искусственный интеллект, так как они увеличивают сгенерированную бизнесом добавленную стоимость.
Использование искусственного интеллекта и больших данных в менеджменте повышает результативность управления инновациями в бизнесе.
Перспектива совершенствования управления бизнесом в России в контексте цифровой трансформации связана с автоматизацией менеджмента с помощью искусственного интеллекта и больших данных.

References:

Ashal N., Morshed, A. (2024). Balancing data-driven insights and human judgment in supply chain management: The role of business intelligence, big data analytics, and artificial intelligence Journal of Infrastructure, Policy and Development. (8). 3941. doi: 10.24294/jipd.v8i6.3941.

Gasanov A.M., Kuzina E.L., Kuzina M.A., Nadolinskiy P.V. (2024). Algoritm i etapy vnedreniya tsifrovyh tekhnologiy i ikh vliyanie na sistemu menedzhmenta kachestva predpriyatiya [The algorithm and stages of the digital technologies introduction and their impact on the enterprise quality management system]. Transport business in Russia. (3). 105-109. (in Russian).

Global Innovation Index 2023: Innovation in the face of uncertaintyWipo. Retrieved August 29, 2024, from https://www.wipo.int/edocs/pubdocs/en/wipo-pub-2000-2023-en-main-report-global-innovation-index-2023-16th-edition.pdf

Kazachenko K.V. (2024). Evolyutsiya primeneniya iskusstvennogo intellekta i bolshikh dannyh v upravlenii innovatsiyami [The evolution of the use of artificial intelligence and big data in innovation management]. Innovation and Investment. (4). 10-13. (in Russian).

Lugert N.E. (2024). Kontseptsiya prinyatiya upravlencheskikh resheniy v kontekste tsifrovoy transformatsii biznesa [The concept of managerial decision-making amidst digital business transformation]. Informatizatsiya v tsifrovoy ekonomike. 5 (1). 75-90. (in Russian). doi: 10.18334/ide.5.1.120559.

Matkovskaya Ya.S., Berezhnova A.I. (2013). Mobilnye platezhnye sistemy: put k rynochnomu ravnovesiyu i blagosostoyaniyu ili k disbalansu i krizisu? [Mobile payment systems: the path to market equilibrium and prosperity or to imbalance and crisis?]. Financial Analytics: Science and Experience. (28). 31-36. (in Russian).

Morozova I.A., Smetanin A.S., Smetanina A.I. (2024). Upravlenie konkurentosposobnostyu biznesa na osnove iskusstvennogo intellekta i bolshikh dannyh dlya ego ustoychivogo razvitiya [Management of business competitiveness based on artificial intelligence and big data for its sustainable development]. Modern competition. 18 (1). 29-40. (in Russian). doi: 10.37791/2687-0657-2024-18-1-29-40.

Morozova I.A., Smetanina A.I., Smetanin A.S. (2023). ESG-menedzhment kachestva: rol tsifrovoy transformatsii biznesa [Esg quality management: the role of digital business transformation]. Vestnik Sankt-Peterburgskogo universiteta. Menedzhment. 22 (4). 530-555. (in Russian). doi: 10.21638/11701/spbu08.2023.404.

Murzin R.I. (2024). Rol tsifrovyh tekhnologiy v sovremennom menedzhmente: perspektivy i vyzovy [The role of digital technologies in modern management: prospects and challenges]. Simvol nauki: mezhdunarodnyy nauchnyy zhurnal. 2 (3-2). 182-184. (in Russian).

Ozhiganova M.I., Kalita A.O., Tischenko E.N. (2019). Postroenie adaptivnyh sistem zashchity informatsii [Building adaptive information security systems]. NBI tekhnologii. 13 (4). 12-21. (in Russian). doi: 10.15688/NBIT.jvolsu.2019.4.2.

Pasynkov D.V., Yarullina Zh.A. (2023). Ispolzovanie tsifrovyh tekhnologiy v menedzhmente [The use of digital technologies in management]. Science and business: development ways. (6). 119-123. (in Russian).

Samoylenko D.A. (2024). Primenenie iskusstvennogo intellekta i bolshikh dannyh v strategicheskom upravlenii kompaniey [Application of artificial intelligence and big data in strategic company management]. Science of the XXI Century: actual development directions. (1-2). 167-172. (in Russian).

Wu A. (2024). Improving realty management ability based on big data and artificial intelligence decision-making PLoS ONE. (19). e0307043. doi: 10.1371/journal.pone.0307043.

Yakovleva M.V., Morokhotova D.E., Kargina Yu.S. (2023). Transformatsiya kompetentsiy menedzherov v usloviyakh vnedreniya tekhnologiy iskusstvennogo intellekta [Transformation of managers' competencies in the context of the introduction of artificial intelligence technologies]. Informatizatsiya v tsifrovoy ekonomike. 4 (3). 207-224. (in Russian). doi: 10.18334/ide.4.3.118577.

Страница обновлена: 09.04.2025 в 13:15:03

Подробнее об авторе: