emanagE-ManagementE-Management2658-34452686-8407State University of Management10.26425/2658-3445-2023-6-1-17-28emanag-352Research ArticleТЕХНОЛОГИИ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В МЕНЕДЖМЕНТЕArtificial intelligence technologies in managementТрансформация систем менеджмента предприятий в контексте цифровизацииTransformation of enterprise management systems in the context of digitalizationhttps://orcid.org/0000-0002-8680-627XБеловаЕ. Ю.BelovaE. Yu.

Белова Елена Юрьевна - Ст. преп. каф. информационных систем

Москва

Elena Yu. Belova - Senior Lecturer at the Department of Information Systems

Moscow

ey_belova@guu.ruhttps://orcid.org/0000-0003-0410-7529ШевченкоМ. О.ShevchenkoM. O.

Шевченко Марина Олеговна - Канд. экон. наук, доц. каф. информатики и управления

Москва

Marina O. Shevchenko - Cand. Sci. (Econ.), Assoc. Prof. at the Department of Computer Science and Management

Moscow

mo_shevchenko@mail.ruГосударственный университет управленияРоссияState University of ManagementRussian FederationВоенный университет имени князя Александра Невского Министерства обороны Российской ФедерацииРоссияMilitary University of the Ministry of Defense of the Russian FederationRussian Federation202322042023611728Copyright © Белова Е.Ю., Шевченко М.О., 20232023Белова Е.Ю., Шевченко М.О.Belova E.Y., Shevchenko M.O.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://e-management.guu.ru/jour/article/view/352

В статье рассматриваются вопросы качественного преобразования систем менеджмента предприятий в условиях цифровой экономики, влияния внедрения цифрового интеллекта в рыночное пространство на совершенствование технологий выстраивания бизнес-процессов. Актуальность рассматриваемой проблемы обусловлена гигантской конкуренцией в существующем бизнес-пространстве, а также необходимостью повышения эффективности функционирования предприятий в условиях цифровизации, адаптации их бизнес-моделей к новой цифровой среде. Цель исследования состоит в разработке такой методологии трансформации систем менеджмента предприятий, которая позволила бы повысить эффективность всех бизнес-процессов на практике. К задачам исследования отнесены следующие: нахождение инструментария определения уровня цифрового интеллекта российских предприятий; установление зависимостей рентабельности предприятий от уровня цифровизации последних; определение характера и путей трансформации систем управления в условиях цифровизации. В работе широко используются социологические и эмпирические методы исследования. Основными результатами исследования можно считать введение интегрального показателя уровня цифрового интеллекта бизнес-систем; формирование бизнес-модели предприятия в условиях цифровизации; выведение зависимости интегрального показателя уровня цифрового интеллекта и рентабельности предприятий; установление корреляции между ростом валового дохода крупных предприятий России и ее ВВП.

The article deals with the issues of qualitative transformation of enterprise management systems in the digital economy, the impact of the introduction of digital intelligence in the market space on the improvement of technologies for building business processes. The relevance of the problem under consideration is due to the huge competition in the existing business space, as well as the need to improve the efficiency of enterprises in the conditions of digitalization, adaptation of their business models to the new digital environment. The purpose of the study is to develop a methodology for the transformation of enterprise management systems that would improve the efficiency of all business processes in practice. The objectives of the study include the following: finding tools for determining the level of digital intelligence of Russian enterprises; establishing dependencies of profitability of enterprises on the level of digitalization of the latter; determining the nature and ways of transformation of management systems in the conditions of digitalization. Sociological and empirical research methods are widely used in the work. The main results of the study can be considered the introduction of an integral indicator of the level of digital intelligence of business systems; the formation of an enterprise business model in the context of digitalization; the derivation of the dependence of the integral indicator of the level of digital intelligence and profitability of enterprises; the establishment of a correlation between the growth of gross income of large enterprises in Russia and its GDP.

бизнес-модель предприятияцифровой интеллектсистема управления человеческими ресурсамиавтоматизированная система управлениясистема автоматического управленияцифровизация менеджментаинтегральный показательсистема управленияискусственный интеллектпредприятиеbusiness model of the enterprisedigital intelligencehuman resource management systemautomatized management systemautomatic control systemdigitalization of managementintegral indicatormanagement systemartificial intelligenceenterpriseReferencesДелягин М. (2020). Конец эпохи: осторожно: двери открываются. Специальная теория глобализации. Т. 2. М.: Книжный мир, Политиздат.816 с.Delyagin M. (2020), The End of an Era: Caution: The Doors Are Opening. Special theory of globalization, vol. 2, Knizhny Mir, Politizdat, Moscow, Russia (In Russian).Al Mansoori S., Salloum S. A., Shaalan K. (2021). The impact of artificial intelligence and information technologies on the efficiency of knowledge management at modern organizations: a systematic review // Recent advances in intelligent systems and smart applications. V. 295, pp. 163–182. https://doi.org/10.1007/978-3-030-47411-9_9Al Mansoori S., Salloum S. A., Shaalan K. (2021), “The impact of artificial intelligence and information technologies on the efficiency of knowledge management at modern organizations: a systematic review”, Recent advances in intelligent systems and smart applications, pp. 163–182. https://doi.org/10.1007/978-3-030-47411-9_9Applegate L. M., Collura M. (2020). Crafting business models. Boston: Building E-Businesses, HBS Publishing. 22 p.Applegate L. M., Collura M. (2000), Crafting business models. Building E-Businesses, HBS Publishing. Boston, GB.Autio E., Zander I. (2016). Lean internationalization // Academy of Management Proceedings. V. 2016, no. 1. Art. 17420. https://doi.org/10.5465/ambpp.2016.81Autio E., Zander I. (2016), “Lean internationalization”, Academy of Management Proceedings, vol. 2016, no. 1, art. 17420, https://doi.org/10.5465/ambpp.2016.81Draper P. (2013). The shifting geography of Global Value Chains: Implications for developing countries, trade policy, and the G20 // Global Summitry Journal, V. 1, no.1. Pp. 1–40.Draper P. (2013), “The shifting geography of Global Value Chains: Implications for developing countries, trade policy, and the G20”, Global Summitry Journal, vol. 1, no.1, pp. 1–40.Hogg P. (2019). Artificial intelligence: HR friend or foe? // Strategic HR Review. V. 18, no. 2. Pp. 47–51.Hogg P. (2019), “Artificial intelligence: HR friend or foe?”, Strategic HR Review, vol. 18, no.2, pp. 47–51.Nambisan S. (2017). Digital entrepreneurship: Toward a digital technology perspective of entrepreneurship // Entrepreneurship Theory and Practice. V. 41, no.6. Pp. 1029–1055.Nambisan S. (2017), “Digital entrepreneurship: Toward a digital technology perspective of entrepreneurship”, Entrepreneurship Theory and Practice, vol. 41, no.6, pp. 1029–1055.Pallathadka H., Ramirez-Asis E. H., Loli-Poma T. P., Kaliyaperumal K., Ventayen R. J. M., Naved M. (2021). Applications of artificial intelligence in business management, e-commerce and finance // Materials Today: Proceedings. In press. https://doi.org/10.1016/j.matpr.2021.06.419Pallathadka H., Ramirez-Asis E. H., Loli-Poma T. P., Kaliyaperumal K., Ventayen R. J. M., Naved M. (2021), “Applications of artificial intelligence in business management, e-commerce and finance”, Materials Today: Proceedings. [In press]. https://doi.org/10.1016/j.matpr.2021.06.419Peña-López I. (2015). OECD digital economy outlook 2015. // OECD Publishing. P. 15. https://doi.org/10.1787/9789264232440-enPeña-López I. (2015), “OECD digital economy outlook 2015”, OECD Publishing, p. 15. https://doi.org/10.1787/9789264232440-enRibeiro J., Lima R., Eckhardt T., Paiva S. (2021). Robotic process automation and artificial intelligence in industry 4.0–a literature review // Procedia Computer Science. V. 181. Pp. 51–58.Ribeiro J., Lima R., Eckhardt T., Paiva S. (2021), “Robotic process automation and artificial intelligence in industry 4.0–a literature review”, Procedia Computer Science, vol. 181, pp. 51–58.Saniuk S., Caganova D., Saniuk A. (2021). Knowledge and skills of industrial employees and managerial staff for the Industry 4.0 implementation // Mobile Networks and Applications. Pp. 1–11. https://doi.org/10.1007/s11036-021-01788-4Saniuk S., Caganova D., Saniuk A. (2021), “Knowledge and skills of industrial employees and managerial staff for the Industry 4.0 implementation”, Mobile Networks and Applications, pp. 1–11. https://doi.org/10.1007/s11036-021-01788-4Strange R., Zucchella A. (2017). Industry 4.0, global value chains and international business // Multinational Business Review. V. 25, no.3. Pp. 174–184.Strange R., Zucchella A. (2017), “Industry 4.0, global value chains and international business”, Multinational Business Review, vol. 25, no.3, pp. 174–184.Subramanian A. M., van de Vrande V. (2019). The role of intellectual capital in new product development: Can it become a liability? // Journal of Operations Management. V. 6. Pp. 517–535.Subramanian A. M., van de Vrande V. (2019), “The role of intellectual capital in new product development: Can it become a liability?”, Journal of Operations Management, vol. 6, pp. 517–535.Tulaganovich H. Z. (2021). The role of technical equipment in the automation of production processes in enterprises // Innovative Technologica: Methodical Research Journal. V. 2, no.11. Pp. 116–121.Tulaganovich H. Z. (2021), “The role of technical equipment in the automation of production processes in enterprises”, Innovative Technologica: Methodical Research Journal, vol. 2, no.11, pp. 116–121.Vadana I. I., Kuivalainen O., Torkkeli L., Saarenketo S. (2021). The role of digitalization on the internationalization strategy of born-digital companies // Sustainability. V. 13, no. 24. Art. 14002. https://doi.org/10.3390/su132414002Vadana I. I., Kuivalainen O., Torkkeli L., Saarenketo S. (2021), “The role of digitalization on the internationalization strategy of born-digital companies”, Sustainability, vol. 13, no. 24, art. 14002, https://doi.org/10.3390/su132414002Verhoef P. C., Broekhuizen T., Bart, Y., Bhattacharya A., Dong J. Q., Fabian N., Haenlein M. (2021). Digital transformation: A multidisciplinary reflection and research agenda // Journal of Business Research. V. 122. Pp. 889–901.Verhoef P. C., Broekhuizen T., Bart Y., Bhattacharya A., Dong J. Q., Fabian N., Haenlein M. (2021), “Digital transformation: A multidisciplinary reflection and research agenda”, Journal of Business Research, vol. 122, pp. 889–901.Zebec A. (2019). Cognitive BPM: Business process automation and innovation with artificial intelligence // BPM. Pp. 51–59.Zebec A. (2019), “Cognitive BPM: Business process automation and innovation with artificial intelligence”, BPM, pp. 51–59.

The authors declare that there are no conflicts of interest present.