USAGE OF ARTIFICIAL INTELLIGENCE IN MANAGEMENT OF MODERN ENTERPRISE
Abstract
The article is devoted to topical issues of determining the directions of application of artificial intelligence (AI) in the management of a modern enterprise. The study uses the methods of grouping, deduction, abstraction and analysis to summarise the theoretical provisions on the study of the areas of application of AI technologies in the activities and management of an enterprise. It is substantiated that in the future, the management of a modern enterprise will be associated with artificial intelligence technologies. In the context of further digitalisation of society, their breakthrough innovation potential can provide sustainable competitive advantages both in the domestic market and when entering foreign markets. The author analyses the main components of AI, such as machine learning, deep learning, natural language processing, computer vision, robotics, expert systems, recommender systems, autonomous systems, intelligent agents, and the areas of their application in a modern enterprise. The author describes AI technologies that can improve management processes at an enterprise, in particular, production management, investment management, marketing and sales management, financial management, and human resource management. It has been proven that AI is increasing its impact on various aspects of modern enterprise management. However, despite the advantages provided to modern enterprises by the implemented AI technologies, their use remains insignificant. The article presents the results of a McKinsey study on the use of AI in the activities of enterprises, which showed that only 22% of enterprises regularly use it in their work. The respondents identified the areas of management in which AI is already used in their companies. The largest share of respondents indicated that AI is used in marketing and sales management - 14%, in the development of new products and services - 13%, and in service operations - 10%. It was also found that 40% of organisations plan to increase investments in AI in the near future. The study proves that companies that want to remain competitive need to consider the possibilities of applying AI technologies in their operations, as well as formulate their own strategy for implementing AI in the company's business processes. It is crucial for organisations to approach the introduction of AI with careful planning, continuous evaluation, and a commitment to the responsible use of AI technologies, ensuring its harmonious integration into the enterprise structure. This requires an increase in investment in the field of AI, creation of a team that should understand both the peculiarities of management processes and AI technologies. The practical value of the article lies in determining the prospects for the application of AI in enterprise management.
References
Wang H. Analysis of the Impact of Artificial Intelligence on Modern Enterprise Management. Modern Economics & Management Forum. 2024. №5(3). pp.495-498. DOI: 10.32629/memf.v5i3.2370
Daroń M., Górska M. Enterprises development in context of artificial intelligence usage in main processes. Procedia Computer Science. 2023. Vol. 225, рр. 2214-2223. DOI: 10.1016/j.procs.2023.10.212.
Use of artificial intelligence in enterprises. Eurostat data basis. URL: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Use_of_artificial_intelligence_in_enterprises (дата звернення: 27.07.2024)
Sandeep S.R., Shahanawaj A., Divya S., Kingshuk S., Sushma J., Ashim B. To understand the relationship between Machine learning and Artificial intelligence in large and diversified business organisations. Materials Today: Proceedings. 2022. № 56 (4). pp. 2082-2086, DOI:10.1016/j.matpr.2021.11.409
Olan F., Arakpogun Emmanuel O., Suklan J., Nakpodia F., Damij N., Jayawickrama U. Artificial intelligence and knowledge sharing: Contributing factors to organizational performance. Journal of Business Research. 2022. №145. pp. 605-615. DOI:10.1016/j.jbusres.2022.03.008.
Malik A., Budhwar P., Kazmi B. A. Artificial intelligence (AI)-assisted HRM: Towards an extended strategic framework. Human Resource Management Review. 2023. № 33 (1). pp.100940. DOI:10.1016/j.hrmr.2022.100940.
Perifanis N.-A., Kitsios F. Investigating the Influence of Artificial Intelligence on Business Value in the Digital Era of Strategy: A Literature Review. Information. 2023. № 14. DOI:10.3390/ info14020085
Chen K. Innovation of Enterprise Management in the Era of Artificial Intelligence. International Journal of Global Economics and Management. 2024. № 2(2). pp. 281-285. DOI:10.62051/ijgem.v2n2.35
Машлій Г., Мосій О., Пельчер М. Дослідження управлінських аспектів використання штучного інтелекту. Галицький економічний вісник. Т. : ТНТУ, 2019. Том 57. № 2. С. 80–89. DOI: 10.33108/galicianvisnyk_tntu2019.02.080
Хмара М., Гуменюк Я., Аль-Хаялі Д. Впровадження штучного інтелекту в бізнес-практику. Цифрова економіка та економічна безпека. 2023. №9. С.42–50. DOI:10.32782/dees.9-8
Кузьомко В., Бурангулова В., Бурангулова В. Можливості використання штучного інтелекту в діяльності сучасних підприємств. Економіка та суспільство. 2021. №32. DOI:10.32782/2524-0072/2021-32-67
Богом’я В., Гудзь А. Штучний інтелект: сучасний стан і перспективи застосування Сучасні інформаційні технології у сфері безпеки та оборони. 2023. Т. 46. № 1. С.13–17. DOI: 10.33099/2311-7249/2023-46-1-13-17
Хаустова В. Є., Решетняк О. І., Хаустов М. М., Зінченко В. А. Напрямки розвитку технологій штучного інтелекту в забезпеченні обороноздатності країни. Бізнес Інформ. 2022. №3. C. 17–26. DOI:10.32983/2222-4459-2022-3-17-26
Хаустова В. Є., Решетняк О. І., Хаустов М. М. Перспективні напрямки розвитку IT-сфери в світі. Проблеми економіки. 2022. №1. C. 3–19. DOI:10.32983/2222-0712-2022-1-3-19
Вербівська Л. В. Застосування інструментів штучного інтелекту при управлінні конкурентоспроможністю підприємства. Проблеми сучасних трансформацій. Серія: економіка та управління. 2023. № 10. DOI:10.54929/2786-5738-2023-10-04-06
Краєвська, А., Шварц, І., Краєвський, А., & Кондратенко, Б. Тенденції та чинники управління конкурентоспроможністю бізнесу в сучасних умовах. Modeling the development of the economic systems. 2023. № 2. pp.173–178. DOI:10.31891/mdes/2023-8-23
Yevsieieva-Severyna I., Skopenko N. Artificial intelligence as a driver of the development of modern business. Теоретичні та прикладні питання економіки : збірник наукових праць. Київ : ЦП Компринт. 2022. Вип. 2 (45). С. 68–79. https://dspace.nuft.edu.ua/handle/123456789/39361
The state of AI in 2023: Generative AI’s breakout year. McKinsey & Company . URL: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year#/ (дата звернення: 27.07.2024)
Wang H. (2024) Analysis of the Impact of Artificial Intelligence on Modern Enterprise Management. Modern Economics & Management Forum, vol. 5(3), pp.495–498. DOI: 10.32629/memf.v5i3.2370
Daroń M., Górska M. (2023) Enterprises development in context of artificial intelligence usage in main processes. Procedia Computer Science, vol. 225, рр. 2214–2223. Available at: https://doi.org/10.1016/j.procs.2023.10.212.
Use of artificial intelligence in enterprises. Eurostat data basis. Available at: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Use_of_artificial_intelligence_in_enterprises (accessed July 27, 2024)
Sandeep S.R., Shahanawaj A., Divya S., Kingshuk S., Sushma J., Ashim B. (2022) To understand the relationship between Machine learning and Artificial intelligence in large and diversified business organisations. Materials Today: Proceedings, vol. 56 (4), pp. 2082–2086. Available at: https://doi.org/10.1016/j.matpr.2021.11.409
Olan F., Arakpogun Emmanuel O., Suklan J., Nakpodia F., Damij N., Jayawickrama U. (2022) Artificial intelligence and knowledge sharing: Contributing factors to organizational performance. Journal of Business Research, vol. 145, pp. 605–615. Available at: https://doi.org/10.1016/j.jbusres.2022.03.008.
Malik A., Budhwar P., Kazmi B. A. (2023) Artificial intelligence (AI)-assisted HRM: Towards an extended strategic framework. Human Resource Management Review, vol. 33 (1), pp. 100940. Available at: https://doi.org/10.1016/j.hrmr.2022.100940.
Perifanis N.-A., Kitsios F. (2023) Investigating the Influence of Artificial Intelligence on Business Value in the Digital Era of Strategy: A Literature Review. Information, vol. 14, pp. 85. Available at: https://doi.org/10.3390/ info14020085
Chen K. (2024). Innovation of Enterprise Management in the Era of Artificial Intelligence. International Journal of Global Economics and Management, vol. 2(2), pp. 281–285. Available at: https://doi.org/10.62051/ijgem.v2n2.35
Mashliy G., Mosiy O., Pelcher M. (2019) Doslidzhennia upravlinskykh aspektiv vykorystannia shtuchnoho intelektu [Information provided for labor relationship management as compositional social responsibility of enterprises]. Galician economic bulletin (Tern.), vol. 57, no 2, pp. 80–89. (in Ukrainian).
Khmara M., Humenyuk YA., Alʹ-Khayali D. (2023) Vprovadzhennya shtuchnoho intelektu v biznes-praktyku [Implementation of artificial intelligence in business practice]. Digital economy and economic security, vol 9, pp. 42–50. DOI:10.32782/dees.9-8. (in Ukrainian)
Kuzʹomko V., Buranhulova V., Buranhulova V. (2021) Mozhlyvosti vykorystannya shtuchnoho intelektu v diyalʹnosti suchasnykh pidpryyemstv [Possibilities of using artificial intelligence in the activities of modern enterprises]. Economy and society, vol. 32. DOI:10.32782/2524-0072/2021-32-67. (in Ukrainian)
Bohomіa V., Hudz A. (2023). Shtuchnyi intelekt: suchasnyi stan i perspektyvy zastosuvannia [Artificial intelligence: current state and prospective applications]. Suchasni informatsiini tekhnolohii u sferi bezpeky ta oborony - Modern Information Technologies in the Sphere of Security and Defence, vol. 1(46), pp. 13–17. DOI: https://doi.org/10.33099/2311-7249/2023-46-1-13-17 (in Ukrainian)
Khaustova V. Y., Reshetnyak O. I., Khaustov M. M., Zinchenko V. A. (2022) Napryamky rozvytku tekhnolohiy shtuchnoho intelektu v zabezpechenni oboronozdatnosti krayiny [Development directions of artificial intelligence technologies in ensuring the country's defense capability]. Business Inform, vol. 3. pp. 17–26. DOI:10.32983/2222-4459-2022-3-17-26. (in Ukrainian)
Khaustova V. Y., Reshetnyak O. I., Khaustov M. M. (2022) Perspektyvni napryamky rozvytku IT-sfery v sviti [Prospective directions of development of the IT sphere in the world]. Problems of the economy, vol.1. pp. 3–19. DOI:10.32983/2222-0712-2022-1-3-19. (in Ukrainian)
Verbivska L. V. (2023) Zastosuvannya instrumentiv shtuchnoho intelektu pry upravlinni konkurentospromozhnistyu pidpryyemstva [Application of artificial intelligence tools in managing the competitiveness of the enterprise]. Problems of modern transformations. Series: Economics and Management, vol. 10. DOI:10.54929/2786-5738-2023-10-04-06. (in Ukrainian)
Kraevska А., Shvarts І., Kraevskyi А., Kondratenko B. (2023). Tendentsii ta chynnyky upravlinnia konkurentospromozhnistiu biznesu v suchasnykh umovakh [Trends and Factors of Business Competitiveness Management in Modern Conditions]. Modeling the Development of the Economic Systems – Modeling the Development of the Economic Systems, vol. 2, pp. 173–178. DOI: https://doi.org/10.31891/mdes/2023-8-23. (in Ukrainian).
Yevsieieva-Severyna I., Skopenko N. (2022) Artificial intelligence as a driver of the development of modern business. Theoretical and applied issues of economics: a collection of scientific papers, vol. 2 (45), pp. 68–79. Available at: https://dspace.nuft.edu.ua/handle/123456789/39361. (in Ukrainian)
The state of AI in 2023: Generative AI’s breakout year. McKinsey & Company . Available at: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year#/. (accessed July 27, 2024)
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