Work

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

Year: 2025

Type: article

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.

Source: Production & Manufacturing Research

DOI: 10.1080/21693277.2025.2576218

Authors: Márcio Alexandre Portelinha, Albert Carrara, Lucas Gabriel Zanon, Kleber Francisco Esposto, Rosley Anholon

Institutions: Universidade de São Paulo, Universidade Federal de Ouro Preto, Universidade Estadual de Campinas (UNICAMP)

Language: English

Topic: Supply Chain Resilience and Risk Management

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,165