How Big Data Governance Meets Financial Decision-Making: Evidence from Banking Sector in Emerging Economies

The integration of big data analytics into the banking sector holds great promise for educated financial decision-making. However, the effective use of this potential requires a comprehensive governance framework tailored to local dynamics. This research proposes a framework supported by empirical evidence on the impact of big data governance on financial decision-making in the Jordanian banking sector. The research was applied to a sample of 168 financial managers in 16 banks operating in Jordan, with a response rate of 76.4%, through a cross-sectional approach designed for this purpose. Structural equation modeling was used to verify the research assumptions and analyze its data. The research reached a result that supports its hypotheses, which indicate that the dimensions of big data governance, i.e., structural governance, procedural governance, and relational governance, had a positive significant impact on financial decision-making. Accordingly, a series of theoretical recommendations centered around developing a tailored governance framework that combines international best practices with Jordan's organizational and cultural nuances. In addition to empirical recommendations, including the experimental implementation of the governance framework in selected banks, to facilitate obtaining experimental insights about the practical application and the challenges it may face.