An information management approach for supply chain disruption recovery

Dario Messina, Ana Cristina Barros, António Soares, Aristides Matopoulos*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Purpose: To study how supply chain decision makers gather, process and use the available internal and external information when facing supply chain disruptions. Design/methodology/approach: The paper reviews relevant supply chain literature to build an information management model for disruption management. Afterwards, three case studies in the vehicle assembly sector, namely cars, trucks and aircraft wings, bring the empirical insights to the information management model. Findings: This research characterises the phases of disruption management and identifies the information companies use to recover from a variety of disruptive events. It presents an information management model to enhance supply chain visibility and support disruption management at the operational level. Moreover, it arrives at two design propositions to help companies in the redesign of their disruption discovery and recovery processes. Originality/value: This research studies how companies manage operational disruptions. The proposed information management model allows to provide visibility to support the disruption management process. Also, based on the analysis of the disruptions occurring at the operational level we propose a conceptual model to support decision makers in the recovery from daily disruptive events.

Original languageEnglish
Pages (from-to)489-519
Number of pages31
JournalInternational Journal of Logistics Management
Issue number3
Early online date7 Aug 2020
Publication statusPublished - 1 Sept 2020

Bibliographical note

© 2020 Emerald Publishing. This AAM is deposited under the CC BY-NC 4.0 licence. Any reuse is allowed in accordance with the terms outlined by the licence. To reuse the AAM for commercial purposes, permission should be sought by contacting


  • Information management
  • Supply chain disruption managemet
  • Supply chain visibility


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