2 research outputs found

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

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    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

    The effect of financial technology on the financial performance of national Saudi banks

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    Fintech, characterized by the intersection of finance and technology, has globally transformed the financial landscape, reshaping traditional banking models as its innovations continue to unfold. The current study seeks to provide a comprehensive examination of the impact of fintech on the financial performance of Saudi banks. Nine Saudi national banks were investigated. The data were gathered from the annual reports from 2017 to 2022. The study followed multiple regression to test the relationship between factors. The study found that there was no notable impact of FinTech tools, such as Banking messages, Internet banking, Mobile applications, and Digital transfers, on return on assets (ROA) and return on equities (ROE) when looking at each tool individually. Nevertheless, when considering all these tools collectively, there is a considerable influence of 93.2% on ROA, and 84.2%, on ROE
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