مجلة البشائر الاقتصادية

Business Intelligence As A Strategic Risk Manager In Supply Chain Transportation: A Risk Engineering Framework

Auteurs : Meniai Ines . Brahimi Assia .

Résumé

The present paper develops a Strategic Risk Engineering Framework that combines BI and transportation risk management to transform reactive practices into proactive, data-driven strategic capabilities. Using a pragmatic approach and an exploratory case study of DHL, the research analyses secondary data through thematic analysis, within-case examination, pattern matching, and triangulation. The studied model comprises five phases: risk identification, assessment and prioritization, mitigation and optimization, real time monitoring and response, and continuous learning. The articles results demonstrate that DHL’s digital ecosystem supports these processes and delivers operational benefits, including reduced demurrage costs, improved on time delivery and customs performance, higher productivity, and lower CO2 emissions. The paper proposes several implications to the literature by extending risk engineering to transportation logistics and provides managers with a framework for increasing supply chain resilience and producing strategic value through BI, while identifying the existing challenges of fully transforming risks into opportunities.

Mots clés

Business Intelligence ; Supply Chain Risk Management ; Strategic Risk Engineering ; Transportation Logistics ; DHL Case Study