RESILIENCE ENGINEERING PARADIGMS FOR FINANCIAL SYSTEM UPTIME DURING VOLATILITY: A SOCIO-TECHNICAL SYSTEMS PERSPECTIVE

• Dr. Mateo Alvarez-Santos

  Universidad de Chile, Santiago, Chile

  Author

The accelerating digitization and global interconnection of financial markets have dramatically increased both the efficiency and fragility of modern financial systems. Volatile market conditions, cyber-physical interdependencies, algorithmic trading, and globally distributed infrastructures have created environments in which even minor disturbances can propagate rapidly into systemic disruptions. Within this context, the concept of resilience engineering—originally developed in safety-critical domains such as aviation, nuclear power, and aerospace—has emerged as a powerful analytical and design framework for ensuring sustained operational performance under conditions of stress, surprise, and uncertainty. This study develops a comprehensive resilience-engineering-based model for understanding and improving uptime in financial systems during periods of extreme volatility. Drawing on socio-technical systems theory, organizational safety science, and risk management scholarship, it situates financial infrastructures within a broader landscape of adaptive capacity, organizational culture, technological complexity, and human decision-making (Hollnagel, 2004; Woods, 2006).

Methodologically, the research employs an interpretive, literature-driven analytical design that synthesizes insights across engineering, cognitive science, organizational theory, and risk analysis. Instead of quantitative modeling, the study uses conceptual triangulation to identify recurring patterns of resilience erosion and recovery, drawing on documented experiences from complex engineered systems (Pate-Cornell, 1990; Pate-Cornell & Fischbeck, 1994). Through this approach, the article reveals that financial system uptime during volatility is shaped less by isolated technical safeguards and more by the coherence of organizational sense-making, the flexibility of control structures, and the capacity to reconfigure resources in real time (Mendoça & Wallace, 2006).

Ultimately, this article contributes a theoretically grounded, interdisciplinary model of financial resilience that extends beyond conventional notions of stability and robustness. By embedding financial infrastructures within a socio-technical resilience framework, it offers both scholars and practitioners a deeper understanding of how sustained uptime can be engineered, governed, and cultivated in an era of unprecedented volatility

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