Logarithmic risk-matrix model in the risk management system of light industry enterprises

the purpose of the study is to develop and substantiate a methodological approach to constructing a risk matrix for light industry enterprises using logarithmic scaling. Methods: the research methodology includes expert evaluation techniques, logarithmic transformation of scales, and data visualization methods. Findings: The study proposes a methodology for constructing a 5?5 risk matrix adapted to the operational specifics of light industry enterprises. It demonstrates that the use of a linear scale under conditions of wide variation in the parameters of “probability” and “impact severity” leads to distortions and reduces classification accuracy. A logarithmic model of the risk matrix is developed, ensuring correct visualization of risk zone boundaries. An expert survey was conducted, on the basis of which critical risks included in the red zone were identified. Conclusions: the adapted methodological approach shows clear advantages of logarithmic scaling over linear scaling, significantly improving visualization accuracy and the validity of managerial decision-making. The expert assessment confirmed the effectiveness of the logarithmic risk matrix for identifying risks that require priority response.

risk matrix, logarithmic scaling, light industry enterprises, risk visualization, integrated risk indicator, risk management, uncertainty