Methods for Assessing and Mitigating Risks in Logistics and Transportation

Mykyta Khytsiuk
Additional contact information
Mykyta Khytsiuk: Global Commercial Director, Carolina Logistics INC, United States; Boiling Springs, SC, United States

Post-Print from HAL

Abstract: The research is devoted to the systematization and critical analysis of contemporary methods for assessing and reducing risks in the field of logistics and transportation. The purpose of the article is to describe an integrative risk-management methodology that combines traditional tools and innovative digital technologies. As its methodological basis, the study employs a systems analysis of scientific publications with an emphasis on predictive analytics, digital twins, and models of supply-chain resilience. The results of the investigation made it possible to classify key risks and their corresponding mitigation methods—from insurance mechanisms and inventory management to crisis response based on real-time operational data. The main achievement is the formation of a conceptual integrated model of logistics risk management that illustrates the synergistic interaction of proactive and reactive strategies. The scientific novelty of the work lies in proposing a comprehensive approach that unites predictive analytics and digital twins with traditional methods, which markedly enhances the adaptability and resilience of logistics systems under conditions of high uncertainty. A conclusion is formulated regarding the need to transition from static to dynamic, data-driven risk management to ensure long-term competitiveness. The materials obtained are of interest to academic researchers, managers of logistics companies, and supply-chain management professionals.

Keywords: digital transformation; predictive analytics; geopolitical risks; crisis management; risk mitigation; risk assessment; supply-chain resilience; transportation; logistics; risk management (search for similar items in EconPapers)
Date: 2026-06-22
References: Add references at CitEc
Citations:

Published in European Journal of Management, Economics and Business, 2026, 3 (3), pp.311-317. ⟨10.59324/ejmeb.2026.3(3).20⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05702927

DOI: 10.59324/ejmeb.2026.3(3).20

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().