Academic Journal of Business & Management, 2024, 6(10); doi: 10.25236/AJBM.2024.061036.
Hao Xiwei
ABB China Co., Ltd., Chaoyang District, Beijing, China, 100024
The integration of AI, machine learning, and cloud computing in financial management is enhancing enterprise efficiency and decision quality. This study, through case analysis, examines smart financial systems' roles in optimizing financial processes and supporting decisions. It reveals benefits in efficiency and accuracy alongside challenges in implementation, such as data quality and user acceptance. The paper also discusses future trends and research limitations.
Smart Financial Management Systems, Machine Learning, Cloud Computing, Financial Decision Support, Efficiency Improvement, Data Quality, User Acceptance, System Integration
Hao Xiwei. Digital Transformation of Financial Management: The Evolution and Impact of Smart Financial Systems. Academic Journal of Business & Management (2024) Vol. 6, Issue 10: 247-255. https://doi.org/10.25236/AJBM.2024.061036.
[1] Johnson, L. (2021). "The Evolution of Financial Management in the Age of AI." Harvard Business Review, 99(4).
[2] Davies, A., & Brown, C. (2022). "Machine Learning Applications in Financial Forecasting." Financial Horizons Review, 18(3), 112-120.
[3] Chen, P., & Liu, Y. (2021). "The Impact of Digital Transformation on Financial Management." Journal of Business and Economics, 14(7), 523-540.
[4] Kim, S., & Lee, J. (2023). "Cloud Computing and Financial Data Security." Journal of Financial Cybersecurity, 5(2), 150-158.
[5] Baker, M., & Edwards, D. (2022). "Big Data Analytics in Financial Decision Making." International Journal of Financial Decision Sciences, 12(1), 89-98.
[6] Smith, J., & Doe, M. (2023). "The Integration of Blockchain with Financial Management Systems." Journal of Emerging Technologies.
[7] Zhang, L., & Chen, F. (2021). "Cloud Computing for Financial Services: Opportunities and Challenges." ACM Journal of Financial Technology Solutions, 6(1), 45-55.