International Journal of Multidisciplinary Research and Growth Evaluation  |  ISSN (Online): 2582-7138  |  Double-Blind Peer Review  |  Open Access  |  CC BY 4.0

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International Journal of Multidisciplinary Research and Growth Evaluation

ISSN (Online): 2582-7138 | Open Access

Resilience and Continuity Model for Global Payment Infrastructure Under Geopolitical Risks 

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Volume: 6 | Issue: 4 | Pages: 1467-1482

Subject: Political Science

Country: United States

DOI: https://doi.org/10.54660/IJMRGE.2025.6.4.1467-1482

License: CC BY 4.0

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Abstract

The global payment infrastructure faces unprecedented challenges from escalating geopolitical tensions, economic sanctions, cyber warfare, and technological disruptions that threaten the stability and continuity of cross-border financial transactions. This study presents a comprehensive resilience and continuity model designed to enhance the robustness of global payment systems against geopolitical risks while maintaining operational efficiency and regulatory compliance. Through systematic analysis of existing payment infrastructure vulnerabilities and emerging risk factors, this research develops a multi-layered framework incorporating distributed ledger technologies, artificial intelligence-driven risk assessment, and adaptive governance mechanisms to ensure payment system continuity during geopolitical crises.
The proposed model integrates blockchain-based interoperability protocols, real-time threat intelligence systems, and dynamic routing algorithms that enable automatic rerouting of payment flows when traditional channels are compromised. Key innovations include a geopolitical risk scoring system that continuously monitors political stability indicators, regulatory changes, and sanctions regimes across jurisdictions, providing early warning capabilities for payment service providers. The framework also incorporates federated learning approaches for cross-border fraud detection while preserving data sovereignty requirements mandated by different regulatory jurisdictions.
Implementation analysis reveals that the proposed resilience model can reduce payment disruption incidents by 67% during moderate geopolitical tensions and maintain 85% operational capacity even during severe international crises. The system's adaptive architecture enables real-time reconfiguration of payment routes based on geopolitical risk assessments, ensuring compliance with evolving sanctions regimes while minimizing transaction delays. Cost-benefit analysis demonstrates that implementing this resilience framework reduces operational losses from payment disruptions by approximately $2.4 billion annually across major financial institutions.
The research methodology employed mixed-methods approaches, combining quantitative analysis of historical payment disruption data from 2015-2024 with qualitative assessment of expert opinions from central banks, payment processors, and fintech institutions across 15 countries. Validation testing using Monte Carlo simulations and stress testing scenarios confirms the model's effectiveness in maintaining payment continuity under various geopolitical crisis scenarios including trade wars, financial sanctions, and regional conflicts.
This study contributes to the literature by providing the first comprehensive framework specifically designed to address geopolitical risks in global payment infrastructure, offering practical implementation guidelines for financial institutions, central banks, and payment service providers seeking to enhance their operational resilience in an increasingly volatile geopolitical environment.
 

How to Cite This Article

Michael Olumuyiwa Adesuyi, Olawole Akomolafe, Babajide Oluwaseun Olaogun, Victor Ukara Ndukwe, Joy Kweku Sakyi (2025). Resilience and Continuity Model for Global Payment Infrastructure Under Geopolitical Risks  . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 6(4), 1467-1482. DOI: https://doi.org/10.54660/IJMRGE.2025.6.4.1467-1482

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Journal: International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE)

Publisher: Anfo Publication House

ISSN: 2582-7138 (Online)

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Language: English

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