923dd9c2-6990-487d-b063-367aa21ce0f520250120043945072wseas:wseasmdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS2224-28991109-952610.37394/23207http://wseas.org/wseas/cms.action?id=40161320241320242110.37394/23207.2024.21https://wseas.com/journals/bae/2024.phpNasareldeen Hamed AhmedAlnorAccounting Department of Accounting, College of Business, Jouf University, SAUDI ARABIAOrganizations are progressively using modern technology in the present corporate climate, such as artificial intelligence (AI) and blockchains, to redesign their management accounting systems and aid in justifying decisions. This study evaluates the significant effects of modern technical advancements on accounting and financial performance by examining their application in the creation of management accounting systems. This study explores how management accounting techniques are changing due to a variety of technological tools and platforms, including cloud computing, AI, big data analytics, and advanced software. This study examines how real-time data analysis, predictive modeling, and task automation enabled by modern technologies are transforming traditional management accounting procedures. This affects how well businesses can make decisions, how cost-effective they are, and how well they plan strategically. The difficulties and possibilities of incorporating contemporary technology into management accounting frameworks are covered in this essay, along with their effects on performance and data security, skills gaps, and managing organizational change. Based on an analysis of the study data, the findings presented in this article demonstrate that automating routine tasks with technology such as robotic process automation (RPA) and AI improves organizational performance, lowers the risk of errors, and frees up accountants’ time to work on strategic projects. Predictive analytics and enhanced organizational performance go hand in hand, and management accountants can forecast future patterns and outcomes with more accuracy by utilizing machine-learning algorithms. Can foresee possible hazards and openings, enabling preventive management techniques.122320241223202425912601212https://wseas.com/journals/bae/2024/e345107-3101.pdf10.37394/23207.2024.21.212https://wseas.com/journals/bae/2024/e345107-3101.pdf10.46281/ijafr.v4i2.355Teru, S.P., I.F. Idoko, and L. Bello, The impact of E-accounting in modern businesses. International Journal of Accounting & Finance Review, 2019. 4(2): p. 1-4. 10.1016/j.mar.2020.100725Hadid, W. and M. 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