Purpose This study investigates how supply chain analytics (SCA) contributes to supply chain resilience, emphasizing the mediating roles of supply chain design (SCD) and supply chain risk management. The research aims to clarify how analytics-enabled capabilities support adaptive responses in uncertain and resource-constrained environments by creating an integrated mediation model. Design/methodology/approach A questionnaire-based study was conducted with 309 firms in Thailand’s road-freight logistics sector. This research utilized a structural equation modeling approach to evaluate the research framework and test the mediation effects. Findings The findings demonstrate that SCA does not directly affect resilience. Instead, the influence process functions through two complementary mechanisms: SCD and risk management capabilities. The two mediating capabilities help firms convert analytics insights into concrete structural adjustments and forward-looking risk responses, which in turn enhance their resilience performance. These results demonstrate that firms can systematically incorporate analytics into organizational processes to improve resilience, particularly in resource-limited logistics contexts. Originality/value This study contributes a renewed lens through which to view building resilience in logistics firms by reconceptualizing SCA as an embedded enabler rather than a direct driver. The research extends existing theoretical frameworks and demonstrates how analytics must operate within broader operational systems to deliver value. These findings enhance ongoing discussions on how resource-limited firms can combine digital and organizational capabilities to deal with supply chain disruptions.
Phengsuk et al. (Wed,) studied this question.