Big Data Analytics in Saudi Arabian Higher Education: Technological and Human Perspectives

This study investigates the effects of Technological and Human Factors for Big Data Analytics (THFFBDA) on Technological Improvements of (BDA) towards improving decision making by top management in Saudi Higher Education. In this study, Technological factors revolve around Big Data Analytical Tasks (BDATs), where Human factors focus on Big Data Analytics Performers (BDAPs). This paper seeks to enhance our understanding of how these factors impact on the implementation of big data analytics to improve the decisions by exclusives in Higher Education Context. The study draws on the Socio- Technological Theory to define and investigate social technical components for BDA, and the Delone & McLean IS Success Model to highlight the technological improvements of BDA. The study hypothetically presents a model on the potential effects of THFFBDA on decision making among universities' top management, and proposes a mixed methods approach to study the above phenomenon.