Advanced risk management models for supply chain finance
Abstrak
This review paper delves into the transformative potential of advanced risk management models in enhancing the resilience and efficiency of supply chain finance (SCF). By examining the application and development of Artificial Intelligence (AI), Machine Learning (ML), Big Data analytics, and blockchain technology, the paper highlights their role in transitioning from traditional reactive strategies to proactive and predictive risk management approaches. Despite the promising advantages, the paper also addresses the significant implementation challenges, model limitations, and regulatory and ethical considerations accompanying these technological advancements. Recommendations for effective deployment and areas for future research, particularly in overcoming existing hurdles and exploring emerging technologies, are also discussed. This comprehensive analysis aims to guide academics, industry professionals, and policymakers in harnessing advanced risk management models for a more robust SCF ecosystem.
Penulis (4)
Uzoma Okwudili Nnaji
Lucky Bamidele Benjamin
Nsisong Louis
Emmanuel Augustine Etukudoh
Akses Cepat
- Tahun Terbit
- 2024
- Bahasa
- en
- Total Sitasi
- 54×
- Sumber Database
- Semantic Scholar
- DOI
- 10.30574/wjarr.2024.22.2.1444
- Akses
- Open Access ✓