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An information management approach for supply chain disruption recovery

Dario Messina (INESC TEC and Faculty of Engineering, University of Porto, Porto, Portugal)
Ana Cristina Barros (INESC TEC, Porto, Portugal)
António Lucas Soares (INESC TEC and Faculty of Engineering, University of Porto, Porto, Portugal)
Aristides Matopoulos (Department of Engineering Systems and Management, Aston University School of Engineering and Applied Science, Birmingham, UK)

The International Journal of Logistics Management

ISSN: 0957-4093

Article publication date: 6 August 2020

Issue publication date: 3 September 2020




To study how supply chain decision makers gather, process and use the available internal and external information when facing supply chain disruptions.


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.


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.


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.



This work is financed by the FCT – Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project CMUP-ERI/TPE/0011/2013 of the CMU Portugal Program and by the project "TEC4Growth–Pervasive Intelligence, Enhancers and Proofs of Concept with Industrial Impact" (NORTE-01–0145-FEDER-000020) financed by the North Portugal Regional Operational Programme (NORTE 2020), under the Portugal 2020 Partnership Agreement and through the European Regional Development Fund (ERDF).


Messina, D., Barros, A.C., Soares, A.L. and Matopoulos, A. (2020), "An information management approach for supply chain disruption recovery", The International Journal of Logistics Management, Vol. 31 No. 3, pp. 489-519.



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