The Impact of Big Data Analytics on Investment Efficiency and Financial Performance: Evidence from Saudi Stock Market

The paper investigates the determinants of adopting big data analytics (BDA) in the Saudi environment according to vision 2030, in addition to the impact of BDA on both investment efficiency and financial performance, we analyzed the academic accounting literature and provide a theoretical framework for each variable. Furthermore, to achieve our research objectives we developed three hypotheses and tested them through an empirical study based on three statistical models; our sample consisted of the largest 50 companies operating in the Saudi stock market for five years (2017-2021). Going further, our findings illustrated that (1) Firm Size, Cash Flows, Growth Opportunities, and Dividend Policy have a positive significant impact on the adoption of big data analytics (2) Leverage and Working Capital have a positive significant impact on the adoption of big data analytics (3) There is a positive impact of the adoptions of big data analytics on investment efficiency (4) There is a positive impact of the adoptions of big data analytics on the financial performance