[
Chhillar, D., Aguilera, R.V. (2022). An Eye for Artificial Intelligence: Insights into the Governance of Artificial Intelligence and Vision for Future Research. Business & Society, 61(5), 1197-1241. https://doi.org/10.1177/00076503221080959
]Search in Google Scholar
[
Darwiesh, A., El-Baz, A.H., Abualkishik, A.Z., Elhoseny, M. (2023). Artificial Intelligence Model for Risk Management in Healthcare Institutions: Towards Sustainable Development. Sustainability, 15(1), 420. https://doi.org/10.3390/su15010420
]Search in Google Scholar
[
El Qadi, A., Trocan, M., Díaz-Rodríguez, N. et al. (2023). Feature contribution alignment with expert knowledge for artificial intelligence credit scoring. SIViP, 17, 427–434. https://doi.org/10.1007/s11760-022-02239-7
]Search in Google Scholar
[
EU Legislation in Progress. Artificial intelligence act (2023). https://www.europarl.europa.eu/RegData/etudes/BRIE/2021/698792/EPRS_BRI(2021)698792_EN.pdf.
]Search in Google Scholar
[
Feras, Mi Alnaser, Samar, Rahi, Mahmoud, Alghizzawi, Abdul, Hafaz Ngah. (2023). Does artificial intelligence (AI) boost digital banking user satisfaction? Integration of expectation confirmation model and antecedents of artificial intelligence enabled digital banking. Research Article, 9(8), E18930. https://doi.org/10.1016/j.heliyon.2023.e18930
]Search in Google Scholar
[
Lăzăroiu, G., Bogdan, M., Geamănu, M., Hurloiu, L., Luminița, L., & Ștefănescu, R. (2023). Artificial intelligence algorithms and cloud computing technologies in blockchain-based fintech management. Oeconomia Copernicana, 14(3), 707–730. https://doi.org/10.24136/oc.2023.021
]Search in Google Scholar
[
Marhasova, V., Rudenko, O., Popelo, O., Kosach, I., Sakun, O., Klymenko, T. (2024). Mechanisms of State Management of the Development of Digital Technologies in the National Security System. Journal of the University of Zulia, 15(42), 389-406. https://doi.org/10.46925//rdluz.42.22
]Search in Google Scholar
[
Mhlanga, D. (2021). Financial Inclusion in Emerging Economies: The Application of Machine Learning and Artificial Intelligence in Credit Risk Assessment. International Journal of Financial Studies, 9(3), 39. https://doi.org/10.3390/ijfs9030039
]Search in Google Scholar
[
Nikiforov, P., Zhavoronok, A., Marych, M., Bak, N., Marusiak, N. (2022). Conceptual principles of state policy of regulation of development of public-private partnerships. Cuestiones Políticas, 40(73), 417-434. https://doi.org/10.46398/cuestpol.4073.22
]Search in Google Scholar
[
OECD. (2019). Better Regulation Practices across the European Union. OECD Publishing. https://doi.org/10.1787/9789264311732-en
]Search in Google Scholar
[
On the Principles of Regulatory Policy in Economic Activity, Law of Ukraine on September 11, 2003 № 1160-IV. https://zakon.rada.gov.ua/laws/show/1160-152000.
]Search in Google Scholar
[
Process model for the digital transformation of SMEs. Cofunded the Erasmus+Programme of the European Union.
]Search in Google Scholar
[
Shaposhnykov, K., Filyppova, S., Krylov, D., Ozarko, K., Yudin, M., & Biliaze, O. (2023). Innovative Development of Enterprises in the Context of Digital Transformations of the Institutional Environment of the National Economy. Management Theory and Studies for Rural Business and Infrastructure Development, 45(3), 233–241. https://doi.org/10.15544/mts.2023.23
]Search in Google Scholar
[
Sharbek, N. (2022). How Traditional Financial Institutions have adapted to Artificial Intelligence, Machine Learning and FinTech? Proceedings of the International Conference on Business Excellence, 16(1) 837-848. https://doi.org/10.2478/picbe-2022-0078
]Search in Google Scholar
[
The Artificial Intelligence Index 2023 Annual Report: AI Index Steering Committee (2023). Institute for Human-Centered AI, Stanford University.
]Search in Google Scholar
[
Uzun, M. (2020). Artificial Intelligence and State Economic Security. In: M. Bilgin, H. Danis, E. Demir, U. Tony-Okeke (eds.), Eurasian Economic Perspectives. Eurasian Studies in Business and Economics, 15/1. Springer, Cham. https://doi.org/10.1007/978-3-030-48531-3_13
]Search in Google Scholar
[
Yonghu, Yang, Hong-Mei, Dai, Chung-Hsing, Chao, Sufen, Wei, Cheng-Fu, Yang. (2023). Training a Neural Network to Predict House Rents Using Artificial Intelligence and Deep Learning. Sens. Mater., 35(10), 4671-4680. https://doi.org/10.18494/SAM4594
]Search in Google Scholar
[
Zhavoronok, A., Chub, A., Yakushko, I., Kotelevets, D., Lozychenko, O., Kupchyshynа, O. (2022). Regulatory Policy: Bibliometric Analysis Using the VOSviewer Program. International Journal of Computer Science and Network Security, 22(1), 39-48. https://doi.org/10.22937/IJCSNS.2022.22.1.7
]Search in Google Scholar