Digital technologies to capture supply chain resilience: a multi-criteria approach in the Brazilian scenario

Budget constraints compel managers to prioritize digital investments that demonstrably improve supply chain resilience and mitigate vulnerabilities. This study classifies technologies based on the perceived influence over resilience capabilities reported by Supply Chain Decision Makers (SCDM) in context of an emerging economy, Brazil. Applying a quantitative design, a structured questionnaire was employed using linguistic terms. A combined method, utilizing CRITIC for weighting capabilities and Fuzzy TOPSIS Class for prioritizing technologies, developed a practical framework for digitalization investments. Results indicate that Recovery Efficiency, Redundancy, and Knowledge Management are the most important capabilities. Business Intelligence (BI) and Enterprise Resource Planning (ERP) are the most relevant digital technologies for mitigating risks and enabling faster recovery. The study academically contributes to scholars by presenting a practical framework with a methodology that can be applied to different research topics, thus providing a guide that helps SCDM prioritize investments in digital technologies, thereby enhancing Resilience.

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Publication Details

Journal
Production & Manufacturing Research
Published
2025-11-08
DOI
https://doi.org/10.1080/21693277.2025.2576218
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
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article

Digital technologies to capture supply chain resilience: a multi-criteria approach in the Brazilian scenario

Rosley Anholon, Kleber Francisco Espôsto, Lucas Gabriel Zanon, ALBERT ASSIS CARRARA et al.
Production & Manufacturing Research
Supply Chain Resilience and Risk Management
article

Digital technologies to capture supply chain resilience: a multi-criteria approach in the Brazilian scenario

Rosley Anholon, Kleber Francisco Espôsto, Lucas Gabriel Zanon, ALBERT ASSIS CARRARA, Márcio Alexandre Portelinha
article en

Abstract

Budget constraints compel managers to prioritize digital investments that demonstrably improve supply chain resilience and mitigate vulnerabilities. This study classifies technologies based on the perceived influence over resilience capabilities reported by Supply Chain Decision Makers (SCDM) in context of an emerging economy, Brazil. Applying a quantitative design, a structured questionnaire was employed using linguistic terms. A combined method, utilizing CRITIC for weighting capabilities and Fuzzy TOPSIS Class for prioritizing technologies, developed a practical framework for digitalization investments. Results indicate that Recovery Efficiency, Redundancy, and Knowledge Management are the most important capabilities. Business Intelligence (BI) and Enterprise Resource Planning (ERP) are the most relevant digital technologies for mitigating risks and enabling faster recovery. The study academically contributes to scholars by presenting a practical framework with a methodology that can be applied to different research topics, thus providing a guide that helps SCDM prioritize investments in digital technologies, thereby enhancing Resilience.

Production & Manufacturing ResearchVol. 13(1)
Universidade Federal de Ouro Preto (BR), Universidade Federal de São Carlos (BR), Universidade Estadual de Campinas (UNICAMP) (BR), Institute of Physics (PL)
Openalex Percentile: Top 52%
Supply Chain Resilience and Risk Management
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Digital technologies to capture supply chain resilience: a multi-criteria approach in the Brazilian scenario — Rosley Anholon, Kleber Francisco Espôsto, et al. · Production & Manufacturing Research (2025) | TGRS Research Map | TGRS