DIGITAL TRANSFORMATION MANAGEMENT OF LOGISTICS PROCESSES AS A TOOL FOR IMPROVING SUPPLY CHAIN RESILIENCE
Abstract
The article is devoted to the study of digital transformation management of logistics processes as a strategic tool for improving supply chain resilience. The purpose of the study is to develop a conceptual model of the relationship between logistics digitalization and supply chain resilience, taking into account the typology of risks. The theoretical and methodological foundations of digital transformation of logistics systems are substantiated. The authors developed an original conceptual model that establishes cause-and-effect relationships between the level of digital maturity of logistics processes and the ability of the supply chain to withstand external and internal destabilizing factors. The study proposes a comprehensive framework that integrates key dimensions of digital transformation including information systems integration, process automation, and data-driven decision-making capabilities. A mathematical model for predicting the impact of digitalization on key resilience indicators is proposed. The research methodology combines systematic literature review with conceptual modeling approach, analyzing peer-reviewed publications from 2020-2025. The practical significance of the results lies in the formation of a methodological approach to assessing the effectiveness of digital investments in logistics infrastructure. The study identifies critical success factors for digital transformation implementation and provides recommendations for logistics service providers seeking to enhance their operational resilience. The novelty of this research consists in the development of an integrated assessment framework that links specific digital tools (ERP, WMS, TMS systems) with measurable resilience outcomes across different risk categories. The findings also create a foundation for future empirical research aimed at quantifying the long-term impact of logistics digitalization on supply chain adaptability and competitiveness in volatile market conditions.
References
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