Review of International Supply Chain Risk within Banking Regulations in Asia, US and EU Including Cost Efficiency Proposals

Abstract

Major financial institutions operate in different regions of the world facing different regulatory landscapes for Supply Chain risks. In this environment, the optimization issue arises how to best comply with the different regulations and reaching cost efficiency at the same time. In this research, the international regulatory landscape for Supply Chain risks of Financial Institutions is introduced and compared internationally. It is understood as an integral part of Supply Chain Risk Management of Financial Institutions, yet the latter is analysed as the research background. Additionally, expert interviews are conducted in order to link the regulation analysis to the current challenges that Financial Institutions face. Finally, recommendations are developed on how banks can be cost efficient, while remaining regulatory compliant, facing increased international regulation in the area of Supply Chain Risk Management. The outcome of the underlying research shows that banking regulation in the area of Supply Chain risks is an important lever in the banking sector to secure customers and financial markets. However, the regulatory landscape is heterogeneous and not consistent on an international scale. Regulation in Asia is highly diverse across different countries due to different states of economic development. The US applies a rather pragmatical approach towards supply chain risk regulation applying different standards of standard setting institutions. Lastly, the EU is very restrictive and strives to unify regulation across member states. Banks should follow a consistent management approach keeping in mind international locations and the strictest regulatory environment they are operating in, to improve cost ef

Supply Chain Risk Prevention and Control Based on Fuzzy Influence Diagram and Discrete Hopfield Neural Network

“…0.0 0.6 (7,10) 1 (7.10) 0.6 (4,11,12) ; 0.8 (7,10) 0.4 (5,10,14,15,16) ; 1 (4,11,12) 0.2 (2,4.8,10,11,12) ; 1 (5,14,15,16) 0.4 (5,14,15,16) ; 1 (2,8,10) 0.6 (8,10) ; 0.8 (2) 0.4 (1,3) ; 1 (2) 0.6 2 ; 0.7 (1,3) 0.9 (1,3) 1 (1,3) 0 0 0 0.1 0.486 (10) ; 0.54 (7) 0.81 (10) ; 0.9 (7) 0.148 (10) ; 0.54 (4,11,12) ; 0.72 (7) 0.324 (10) ; 0.36 (5,14,15,16) ; 0.9 (4,11,…”

“…1 (1) 0 0 0 0.3 0.15 (10) ; 0.3 (7) 0.25 (10) ; 0.5 (7) 0.12 (6) ; 0.2 (10) ; 0.3 (4,11,12) ; 0.4 (7) 0.08 (3) ; 0.1 (10) ; 0.12 (1) ; 0.2 (5,6,7,14,15,16) ; 0.5 (4,11,12) 0.04 (6) ; 0.1 (2,4,8,10,11,12) ; 0.2 (1,3,7) ; 0.5 (5,14,15,16) 0.08 (3,7,11) ; 0.12 (1) ; 0.2 (4,5,6,14,15,16) ; 0.5 (2,8,10) 0.04 (12) ; 0.12 (4,...…”

“…1 (4,6,15,16) 0.2 (12) ; 0.6 (4,6,15,16) ; 0.8 (8,10,11) 0.4 (15) ; 0.6 (12) ; 1 (8,10,11) 0.6 (8,10,11) ; 0.7 (15) ; 0.9 (12) 0.9 (15) ; 1 (12) 1 (15) 1 (9,13) 0.3 (9,13) 1 (9,13) 0.6 0 0 0.48 (6) 0.32 (3,7) ; 0.48 (1) ; 0.8 (6) 0.16 (4.6,15,16) ; 0.8 (1,3,7) 0.32 (3,7,8,10) ; 0.48 (1) ; 0.8 (4,6,15,16) 0.16 (12) ; 0.48 (4,6,15,16) ; 0.64…”

“…e joint frequency matrices of F (17) , F (18) , F (19) , F (20) , F (21) , and F (22) are calculated from equation (3). F (17A) � F (1) ∪ F (2) ∪ F (3) ∪ F (4) ; F (18A) � F (5) ∪ F (6) ∪ F (7) ∪ F (8) ∪ F (9) ; F (19A) � F (10) ∪ F (11) ; F (20A) � F (12) ∪ F (13) ∪ F (14) ; F (21A) � F (15) ∪ F (16) ; and F (22A) � F (17) ∪ F (18) ∪ F (19) ∪ F (20) ∪ F (21) . e associated frequency matrix union is as follows: 10 Discrete Dynamics in Nature and Society…”

“…Some scholars believe that uncertainty and supply disruption caused by external factors are vital to supply chain risks, which should be included in supply chain security-management systems [12,13]. Some researchers such as Harland et al [14], Muntaka et al [15], Seipp et al [16], Hezla et al [17], Collier and Sarkis [18], and Nazifa and Ramachandran [19] studied supply chain risk from different perspectives. Jiang and Liu [20] considered supply chain scheduling optimization as a multiobjective optimization problem from the perspective of supply chain optimization to analyze the problem of risk prevention and control.…”