Volume 2 - Issue 1, January - February 2026

Organizations continue to invest heavily in big data analytics, yet many struggle to translate these investments into improved organizational culture, learning capability, and agility due to the absence of actionable development frameworks. This study develops and tests a structural equation model to examine organizational culture, agility, and learning capability shape firms’ Big Data Analytics Capability (BDAC). Drawing from dynamic capabilities theory and organizational learning perspectives, the model proposes that supportive cultural values, agile structures, and strong learning mechanisms enhance a firm’s ability to acquire, process, and utilize big data for strategic decision-making. Using survey data collected from firms across diverse industries, the analysis evaluates both direct and indirect relationships among the constructs. The results indicate that organizational culture and learning capability are significant predictors of BDAC, while agility serves as a mediating mechanism that strengthens the impact of culture and learning on analytics capability. The study contributes to the growing body of research on big data by offering an integrated framework that highlights the complementary role of behavioral, structural, and knowledge-based factors. Practical implications suggest that firms seeking to improve their analytics capacity should invest not only in technology but also in cultivating adaptive cultures, nurturing continuous learning, and enhancing organizational agility.

Demi C. Sevilla, Christian Paul S. Moyon,"A Structural Equation Model of Big Data Analytics Capability of Firms Within the Context of Organizational Culture, Agility and Learning Capability" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(1): Page(724-728) Jan-Feb 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.