Big Data Analytics Adoption and Implementation in Saudi Banks: A Dynamic Capabilities and Microfoundations Perspective

This study examines the adoption and implementation of Big Data Analytics (BDA) in the Saudi banking sector, a highly regulated and rapidly evolving industry undergoing significant transformation under Saudi Vision 2030. Using a qualitative, interpretive, exploratory case study approach, the research investigates how banks develop the organizational capabilities needed to successfully adopt and operationalize BDA. Drawing on the Dynamic Capabilities View (DCV), the study highlights the capabilities and underlying microfoundations that enabled Saudi banks to navigate adoption challenges, respond to contextual dynamics, and progress toward advanced stages of Big Data Analytics adoption. The research contributes to both theory and practice by deepening the understanding of how dynamic capabilities operate in an underexplored regional and institutional context and by offering insights that may inform managerial strategies and policy initiatives aimed at accelerating data-driven transformation in the financial sector.