The agriculture industry needs resilience beyond the traditional reactive measures due to increasing disruptions. This study investigates social-ecological resilience capabilities and big data analytics (BDA) micro-foundations in the agri-food supply chain (AFSC) using a multiple-criteria decision analysis approach. Relying on the dynamic capabilities view, first, a fuzzy DANP approach was employed to validate and weight 19 key resilience capabilities, and, second, fuzzy VIKOR was used to rank the 14 BDA micro-foundations that most effectively support them. By consulting resilience experts to evaluate resilience capabilities on three levels of organizational, supply chain, and industry and testing the final model in one large food retailers, this study provides a framework for managers to devise actionable plans to develop resilience using BDA. The findings suggest risk-aware culture, adaptability, and collaboration as the most important capabilities and agility, adaptability, and compliance flexibility as capabilities with the most influence on other capabilities. Finally, using BDA micro-foundations to sense the market and devise data-driven solutions were the most critical for the case of the large food retailer.