The Impact of Innovations in Enterprise Accounting and Control Systems on Optimizing the Analysis of Financial Reporting in the Transition to IFRS

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Abstract

The relevance of the research topic is determined by the rapid development of digital technologies and the need to harmonize accounting standards at the international level. The transition to International Financial Reporting Standards (IFRS) requires enterprises to adapt their accounting systems and analytical methods, opening the way for innovations. The study aims to identify the impact of innovative accounting systems on the optimization of financial reporting. It focuses on the accounting and control processes at enterprises that adapt to IFRS. The article employs a theoretical approach based on the formation of conceptual provisions on IFRS and the assessment of innovative accounting technologies’ impact on financial information quality. It has been found that automation of accounting processes and integration of systems with IFRS improve data accuracy and optimize decision-making processes. The implementation of artificial intelligence and Big Data analysis technologies allows for a deeper analysis of financial indicators and the identification of trends and potential risks. Therefore, they increase the information value of reporting for investors and other stakeholders. Research findings have practical implications for companies’ management seeking to improve administrative performance and increase transparency for external users of financial statements. Innovations in accounting can serve as a catalyst for optimizing analytical procedures and contribute to the unification of international reporting. They open up new opportunities for effective management of enterprise resources.

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APA

Akimova, T., Pryymak, S., Kostyakova, A., Usatenko, O., & Lytvynenko, V. (2024, February 1). The Impact of Innovations in Enterprise Accounting and Control Systems on Optimizing the Analysis of Financial Reporting in the Transition to IFRS. Economic Affairs (New Delhi). AESSRA. https://doi.org/10.46852/0424-2513.1.2024.39

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