IDENTIFICATION AND MANAGEMENT OF PSYCHOSOCIAL RISKS IN WATER SUPPLY ENTERPRISES USING THE MATHEMATICAL CORRELATION METHOD

Abstract

The study presents a novel approach to the assessment and management of psychosocial risks in the water supply sector. The main objective is to improve existing models by integrating mathematical methods to enhance the accuracy, objectivity, and relevance of the evaluation. A multifactorial approach is proposed, incorporating Principal Component Analysis (PCA), correlation analysis, and the Analytic Hierarchy Process (AHP) to identify key risk factors. The developed mathematical model takes into account both external and internal influences that determine the level of employee stress resilience. To quantitatively measure psychosocial risks, an integral indicator was used, based on weighted coefficients obtained through multivariate analysis.The results of the study make it possible not only to diagnose the current level of psychosocial strain but also to forecast its changes over time, which significantly increases the effectiveness of managerial decisions.A strong correlation was found between the quality of emergency response management and the stress resilience of personnel. At the same time, the model requires further testing at enterprises of different types and long-term monitoring to account for dynamic changes in stress-related factors. The practical value of the development lies in the possibility of implementing the results into occupational health and safety management systems to optimize working conditions, reduce psychosocial stress, and improve employee well-being.