Let’s talk about bad experiences instead of forgetting them: An empirical study on the importance of memory for supply chain disruption management

Murilo Zamboni Alvarenga, Marcos Paulo Valadares de Oliveira and Tiago Oliveira

International Journal of Production Economics, 2023, vol. 261, issue C

Abstract: Few studies have been concerned about the role of previous knowledge in supply chain disruption management. Based on the premise that supply chain resilience and robustness impact supply chain performance, this paper aims to expand this knowledge by conceptually and empirically establishing the role of supply chain memory for supply chain disruption management performance. A survey receiving 290 valid responses was conducted with supply chain managers. Quantitative data were analyzed with structural equation modeling. In addition, a mixed-methods approach was conducted to validate and explore the quantitative results. This paper contributes to theory and practice showing that experience, familiarity, and knowledge about dealing with disruptions improve supply chain resilience and robustness efficiency. The moderation effect of memory reveals that high memory leverages the impact of supply chain resilience on supply chain performance. Moreover, it brings important insights into the impact of robustness on supply chain performance since it is conditional to memory levels. The full model was able to explain 37.19% of supply chain performance.

Keywords: Supply chain resilience; Supply chain robustness; Supply chain memory; Disruption management; Supply chain performance; Mixed-methods approach (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925527323001044
Full text for ScienceDirect subscribers only

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:eee:proeco:v:261:y:2023:i:c:s0925527323001044

DOI: 10.1016/j.ijpe.2023.108872

Access Statistics for this article

International Journal of Production Economics is currently edited by Stefan Minner

More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().