The Impact of Institutional Ownership on the Nexus Between Big Data Analytics and Financial Reporting Quality

The purpose of this study is to investigate the relationship between characteristics of big data analytics (speed, diversity, volume, and accuracy) and the quality of financial reporting (relevance and faithful representation) in Jordanian banks. Additionally, the influence of institutional ownership on this relationship was examined as a moderator variable. Senior and middle management from all 13 Jordanian banks were included in the study population. A sample of 137 participants was selected, and a questionnaire was distributed electronically. The data was analyzed using path analysis and structural equation modelling techniques. The findings reveal a significant relationship between big data analytics and both the relevance and faithful representation of financial data in these banks. However, institutional ownership did not significantly moderate these relationships. The results suggest that integrating big data analytics into financial evaluation processes can be beneficial for investors, lenders, and decision-makers. The study also recommends further comparative research in different sectors and countries to deepen the understanding of big data's impact