Organizational Risk Management Under Global Uncertainty: A Structural Equation Modeling Approach to Economic Security and Resilience

Recent financial crises, heightened geopolitical instability, sustained financial volatility, and broader global uncertainty have increased the exposure of private sector organizations to emerging and interconnected economic risks. In this context, systematic and sustainable approaches to organizational risk management are becoming increasingly important for maintaining organizational resilience and economic security. Given the persistent instability of markets and the prospect of structural economic changes toward 2030, this study examines how key organizational and risk-related factors influence perceived economic security under crisis conditions. The empirical investigation was conducted on a sample of 205 employees from private sector organizations. Exploratory factor analysis (EFA) was used to validate the structure of the constructs, while structural equation modeling (SEM) was applied to test the relationships among the variables and provide a model-driven assessment of the determinants of perceived economic security. The findings show that all factors included in the proposed model have a significant influence on perceived economic security during periods of crisis. The results highlight the importance of systematic risk identification, assessment, monitoring, and management, as well as organizational learning from previous crises, in responding to a changing and uncertain economic environment. Under conditions of continued global uncertainty, volatility, and structural transformation, the development and continuous improvement of organizational risk management systems can strengthen organizational resilience and support economic security over time.