Supply chain disruptions and resilience: a major review and future research agenda
By Korina Katsaliaki, Panagiota Galetsi, Sameer Kumar. Annals of Operations Research, 2021
550 citations recorded by the source corpus.
Our study examines the literature that has been published in important journals on supply chain disruptions, a topic that has emerged the last 20 years, with an emphasis in the latest developments in the field. Based on a review process important studies have been identified and analyzed. The content analysis of these studies synthesized existing information about the types of disruptions, their impact on supply chains, resilience methods in supply chain design and recovery strategies proposed by the studies supported by cost–benefit analysis. Our review also examines the most popular modeling approaches on the topic with indicative examples and the IT tools that enhance resilience and reduce disruption risks. Finally, a detailed future research agenda is formed about SC disruptions, which identifies the research gaps yet to be addressed. The aim of this study is to amalgamate knowledge on supply chain disruptions which constitutes an important and timely as the frequency and impact of disruptions increase. The study summarizes and builds upon the knowledge of other well-cited reviews and surveys in this research area.
Subfields: Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/9e9422ed4465ba4c47ff17f39b69f9e9ece2be9a
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In Management Information Systems
In Strategy and Management
Citations in the corpus
- Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review (2022, methodology): “For example, Katsaliaki et al., (2021) conducted a similar investigation and identified some of the most popular modelling techniques and IT tools used for enhancing resilience.”