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Leveraging supply chain reaction time: : The effects of big data analytics capabilities on organizational resilience enhancement in the auto-parts industry .
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Administrative Sciences, v. 14, n. 8, p. 1-25, 2024.
BRONZO, Marcelo; BARBOSA, Marcelo Werneck; SOUSA, Paulo Renato de; TORRES JUNIOR, Noel; OLIVEIRA, Marcos Paulo Valadares de.
Artigo
Bronzo, Marcelo
BRONZO, Marcelo; BARBOSA, Marcelo Werneck; SOUSA, Paulo Renato de; TORRES JUNIOR, Noel; OLIVEIRA, Marcos Paulo Valadares de.
Big data analytics capabilities (BDACs) are strategic capabilities that expedite decisionmaking processes, empowering organizations to mitigate the impacts of supply chain disruptions.
These capabilities enhance the ability of companies to be more proactive in detecting and predicting
disruptive events, increasing their resilience. This study analyzed the effects BDACs have on firms’
reaction time and the effects companies’ reaction time has on their resilience. The research model
was assessed with 263 responses from a survey with professionals of auto-parts companies in Brazil.
Data were analyzed with the Partial-Least-Squares—Structural Equation Modeling method. Cluster
analysis techniques were also applied. This study found that BDACs reduce reaction time, which, in
turn, improves firms’ resilience. We also observed greater effects in first-tier and in companies with
longer Industry 4.0 journeys, opening further perspectives to investigate the complex mediations
of digital readiness, reaction time, and organizational resilience performance of firms and supply
chains. Our research builds upon the dynamic capabilities theory and identifies BDACs as dynamic
capabilities with the potential to enhance resilience by reducing data, analytical, and decision latencies,
which are recognized as core elements of the reaction time concept, which is particularly crucial
during disruptive supply chain events.
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