Research on financial innovation and Risk Management in the digital Economy Era

[1] Bogachov, S., Pluhatar, T., Plakhotnik, O., Alieksieieva, O., & Bondar, V. (2021). Innovative business development in the digital economy. Entrepreneurship and Sustainability Issues, 8(4), 682. Search in Google Scholar

[2] Tashtamirov, M. (2023). Financial Innovation and Digital Technology in the Banking System: An Institutional Perspective. In SHS Web of Conferences (Vol. 172, p. 02004). EDP Sciences. Search in Google Scholar

[3] Bao, W., Xiao, J., Deng, T., Bi, S., & Wang, J. (2024). The Challenges and Opportunities of Financial Technology Innovation to Bank Financing Business and Risk Management. Financial Engineering and Risk Management, 7(2), 82-88. Search in Google Scholar

[4] Akkaya, M. (2021). Disruptive Financial Innovation and Big Data Implications in Digital Finance. In Big Data for Entrepreneurship and Sustainable Development (pp. 69-90). CRC Press. Search in Google Scholar

[5] Yu, W., Zhang, L., & Yang, C. (2023). The impact of the digital economy on enterprise innovation behavior: Based on CiteSpace knowledge graph analysis. Frontiers in Psychology, 14, 1031294. Search in Google Scholar

[6] Xie, J. (2024). Research on Innovation and Practice of Corporate Economic Management in the Digital Economy Era. Advances in Economics and Management Research, 10(1), 107-107. Search in Google Scholar

[7] Peng, S., Jiang, X., & Li, Y. (2023). The impact of the digital economy on Chinese enterprise innovation based on intermediation models with financing constraints. Heliyon, 9(3). Search in Google Scholar

[8] Boukherouaa, E. B., Shabsigh, M. G., AlAjmi, K., Deodoro, J., Farias, A., Iskender, E. S., ... & Ravikumar, R. (2021). Powering the digital economy: Opportunities and risks of artificial intelligence in finance. International Monetary Fund. Search in Google Scholar

[9] Hu, X., & Wang, K. (2020, October). Bank financial innovation and computer information security management based on artificial intelligence. In 2020 2nd international conference on machine learning, Big Data and Business Intelligence (MLBDBI) (pp. 572-575). IEEE. Search in Google Scholar

[10] Yousaf, Z., Radulescu, M., Sinisi, C. I., Serbanescu, L., & Păunescu, L. M. (2021). Towards sustainable digital innovation of SMEs from the developing countries in the context of the digital economy and frugal environment. Sustainability, 13(10), 5715. Search in Google Scholar

[11] Zhang, M. L., & Chen, M. S. (2019). China’s digital economy: Opportunities and risks. International Monetary Fund. Search in Google Scholar

[12] Ren, G. (2024). Research on the Innovation of Enterprise Digital Marketing Model in the Era of Digital Economy. Financial Engineering and Risk Management, 7(1), 5-10. Search in Google Scholar

[13] Xiong, X., Zhang, J., Jin, X., & Feng, X. (2016). Review on financial innovations in big data era. Journal of Systems Science and Information, 4(6), 489-504. Search in Google Scholar

[14] Glinkina, O. V., Ganina, S. A., Maslennikova, A. V., Solostina, T. A., & ViktorovnaSoloveva, M. (2020). Digital changes in the economy: advanced opportunities for digital innovation. Int. J. Manag, 11(3). Search in Google Scholar

[15] Yuqi, D., & Siwei, W. (2023). A Brief Discussion on the Impact of the Digital Economy on the Development of Retail Financial Innovation. Information Systems and Economics, 4(3), 26-32. Search in Google Scholar

[16] Zhou, Y. (2022). The application trend of digital finance and technological innovation in the development of green economy. Journal of Environmental and Public Health, 2022(1), 1064558. Search in Google Scholar

[17] Hacioglu, U., & Aksoy, T. (Eds.). (2021). Financial Ecosystem and Strategy in the Digital Era: Global Approaches and New Opportunities. Springer Nature. Search in Google Scholar

[18] Longworth, D. (2020). The Era of Digital Financial Innovation: Lessons from Economic History on Regulation. CD Howe Institute Commentary, 568. Search in Google Scholar

[19] Chen, Y., Kumara, E. K., & Sivakumar, V. (2021). Invesitigation of finance industry on risk awareness model and digital economic growth. Annals of Operations Research, 1-22. Search in Google Scholar

[20] Khalatur, S., Pavlova, H., Vasilieva, L., Karamushka, D., & Danileviča, A. (2022). Innovation management as basis of digitalization trends and security of financial sector. Entrepreneurship and Sustainability Issues, 9(4), 56. Search in Google Scholar

[21] Mishchenko, S., Naumenkova, S., Mishchenko, V., & Dorofeiev, D. (2021). Innovation risk management in financial institutions. Investment Management and Financial Innovations, 18(1), 191-203. Search in Google Scholar

[22] Brătăşanu, V. (2017). Digital innovation the new paradigm for financial services industry. Theoretical & Applied Economics, 24. Search in Google Scholar

[23] Abbasov, A., Mamedov, Z., & Kovalenko, V. (2020). Financial innovation in the conditions of digitalization of the economy. Economic and Social Development: Book of Proceedings, 515-524. Search in Google Scholar

[24] Gerrit Brandes,Christian Sieg,Marcel Sander & Roman Henze.(2024).Driving Domain Classification Based on Kernel Density Estimation of Urban Land Use and Road Network Scaling Models.Urban Science(2),48-. Search in Google Scholar

[25] Guolian Hou,Junjie Wang,Yuzhen Fan,Jianhua Zhang & Congzhi Huang.(2024).A novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation.Renewable Energy120360-. Search in Google Scholar

[26] Zhu Jun,Shan Yingchi,Li Yihua,Xu Xuxu,Wu Xiang,Xue Yajun & Gao Guoyi.(2024).Random forest-based prediction of intracranial hypertension in patients with traumatic brain injury.Intensive Care Medicine Experimental(1),58. Search in Google Scholar

[27] Sirong He,Shuang Wang,Jue Wang,Zeshan Abbas,Beibei Yan,Guanyi Chen & Zhanjun Cheng.(2024). Study on synergistic effect and reaction pathway in the co-hydrothermal liquefaction of cattle manure and corn cob based on principal component analysis.Biomass and Bioenergy107264-. Search in Google Scholar

[28] Daniel P Armstrong & Steven L Fischer.(2024).Sensitivity of principal component analysis outcomes to data pre-processing conditions when quantifying trial-to-trial variability in whole-body kinematics. Computer methods in biomechanics and biomedical engineering11-13. Search in Google Scholar