SYSTEMATIZATION OF FACTORS INFLUENCING THE FORMATION OF LOGISTICS RISK MANAGEMENT SYSTEMS IN THE CONTEXT OF ORGANIZATIONAL TRANSFORMATIONS
Abstract
The aim of the study is to evaluate and systematize the factors influencing the formation of logistics risk management systems under conditions of organizational restructuring. Special attention is given to the impact of economic, technological, organizational, social, market, and regulatory factors on the effectiveness of logistics risk management. Research methodology. The study employs a multi-level approach to analysis, including factor analysis, correlation analysis, and the principal component method. An expert survey conducted through a questionnaire collected data from 157 respondents meeting qualification criteria in logistics, risk management, and organizational restructuring. To ensure comparability of assessments, data normalization was applied. The integrated impact of factors was assessed through weight coefficients and their significance in the context of logistics risk management. Results. The analysis revealed that economic factors (particularly government support with an integral indicator of 0.120), organizational factors, and social factors have the greatest impact on logistics risk management. Factors related to technological infrastructure have relatively less influence but are crucial for the long-term stability of systems. Correlation analysis demonstrated an almost complete dependence between the level of logistics risk management and the assessment of key factors. The principal component method identified the most significant factors explaining 100% of the variance in influence. Practical significance of the research results. The results can be used by enterprises to improve logistics risk management systems, especially under restructuring conditions. Practical recommendations include strengthening government support, attracting investments to implement innovative solutions, fostering an internal culture of innovation, and enhancing staff qualifications. The findings can also serve as a basis for developing policies aimed at optimizing risk management in the logistics sector.
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