<![CDATA[Supply chain disruptions have become recurring and interconnected challenges, requiring manufacturing firms to develop resilience through integrated analytical, collaborative, and risk management capabilities. This study examines the effects of Big Data Analytics Capability (BDAC) and Supply Chain Collaboration (SCC) on Supply Chain Resilience (SCRES), with Supply Chain Risk Management (SCRM) as a mediating mechanism and SCC as a moderator. An explanatory quantitative design was employed using survey data from 77 Indonesian manufacturing firms. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that BDAC significantly improves SCRM (β = 0.324), but does not directly affect SCRES (β = 0.031). SCRM has a strong positive effect on SCRES (β = 0.732) and significantly mediates the relationship between BDAC and SCRES (β = 0.237). SCC positively affects SCRM (β = 0.652) and indirectly enhances SCRES through SCRM (β = 0.477). However, SCC does not positively strengthen the proposed relationships. Its interaction with BDAC significantly weakens the effect of BDAC on SCRM, while its interaction with SCRM has no significant effect on SCRES. The model explains 83.2% of the variance in SCRM and 70% of the variance in SCRES. These findings demonstrate that resilience depends on orchestrating analytical and collaborative resources through formal risk management processes. Manufacturing firms should therefore embed analytics and collaboration within systematic risk identification, assessment, mitigation, and control practices rather than treating them as separate investments]]>
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