References
Berg, T., & Meggison, W. L. (2021). Machine learning in financial risk management: A survey.
Journal of Financial Data Science.
Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big
data to big impact. MIS Quarterly, 36(4), 1165-1188. https://doi.org/10.2307/41703503
Chen, J., Zhou, X., & Li, Y. (2021). Real-time data analytics and risk management. Financial
Analysts Journal.
Chen, L., & Wang, M. (2024). Survey of risk management practices: The role of big data analytics
in financial institutions. International Journal of Financial Risk, 29(1), 98-115.
Cheng, H., Zhang, J., & Wang, X. (2022). Incorporating alternative data for credit risk assessment.
Journal of Risk Finance.
Gomez, A., & Rodriguez, T. (2023). The impact of real-time big data analysis on market risk
management. Financial Data Science Quarterly, 7(4), 112-130.
Ghosh, D., & Reilly, S. (2023). Anomaly detection and risk management with big data.
International Journal of Financial Engineering.
Gupta, R., & Kumar, S. (2022). The impact of big data analytics on operational risk management:
A quantitative analysis. International Journal of Financial Studies, 10(4), 112-129.
Guan, Y., Wang, H., & Zhang, M. (2023). Adaptive risk assessment models in big data
environments. Computational Economics.
Janssen, M., van der Voort, H., & Wahyudi, A. (2012). Factors influencing the use of data analytics
in public sector organizations. Journal of Information Technology & Politics, 9(1), 68-84.
https://doi.org/10.1080/19331681.2012.636176
Kim, S., & Choi, J. (2023). Longitudinal analysis of big data analytics in financial risk
management. Risk Management Journal, 22(2), 167-184.
Kara, A., & Petrescu, M. (2018). Self-employment and its relationship to subjective well-being.
International Review of Entrepreneurship, 16(1).
Ko?tuniuk, A., Witczak, I., M?ynarska, A., Czajor, K., & Uchmanowicz, I. (2021). Satisfaction
with life, satisfaction with job, and the level of care rationing among Polish nurses—A
cross-sectional
study.
Frontiers
in
Psychology,
https://doi.org/10.3389/fpsyg.2021.634814
Lapa, T. Y. (2013). Life satisfaction, leisure satisfaction, and perceived freedom of park recreation
participants. Procedia-Social and Behavioral Sciences, 93, 1985-1993.
Larsson, J. P., & Thulin, P. (2019). Independent by necessity? The life satisfaction of necessity
and opportunity entrepreneurs in 70 countries. Small Business Economics, 53(4), 921-934.
Lee, B., & Kim, Y. E. (2021). Factor structure and validation of the 12-item Korean version of the
General Health Questionnaire in a sample of early childhood teachers. Education Sciences,
11(5), 243. https://doi.org/10.3390/educsci11050243
Li, J., & Chen, Z. (2023). Enhancing risk management in financial institutions through big data
analytics: A case study approach. Journal of Financial Risk Management, 15(2), 234-250.
Park, M., & Lee, H. (2021). Machine learning in risk prediction: Insights from financial
institutions. Journal of Financial Technology, 9(3), 98-115.
Patel, R., & Kumar, S. (2022). Comparative analysis of risk management strategies: Traditional
vs. big data-driven approaches. Risk Management Review, 18(2), 77-89.
Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: A literature review and application
framework.
Computers
&
Operations
Research,
64,
87-97.
https://doi.org/10.1016/j.cor.2015.05.005
Zhang, Y., & Li, J. (2023). Machine learning models for enhancing credit risk assessment using
financial transaction data. Journal of Financial Analytics, 12(3), 45-62.
