Abstract
Background: Mandatory application of IFRS for a specified list of entities brings about additional costs in terms of material, financial and labour resources. Consequently, this encourages the search for ways to minimise costs related to the transition to IFRS adoption, that is, its formalisation. Under such conditions, the need to improve the methodological toolkit for evaluating the process of transformation of financial statements in accordance with the requirements of the IFRS is actualised. This article aims to develop a methodological toolkit for assessing the quality of the financial reporting transformation process per IFRS requirements, using Ukrainian dairy industry enterprises as a case study.
Methods: The assessment of the impact of the transition to IFRS reporting on changes in the financial status of entities was carried out using statistical methods of comparison, generalisation, grouping, and coefficients. Conclusions were drawn based on the research findings employing the method of logical generalisation.
Results and Conclusions: The method of assessing the impact of the application of IFRS on the financial condition of enterprises in the dairy industry of Ukraine has been improved, particularly in terms of accounting for changes in financial statements as a result of transformational adjustments before and after the date of transition to IFRS. This refinement involves employing financial coefficients as a means of assessment, facilitating the determination of the quality assessment of the process of drawing up the first financial statements of enterprises in accordance with IFRS.
New methodological aspects and recommendations for assessing the quality of the transformation process in the context of the application of IFRS will ensure effective management of enterprises in the dairy industry of Ukraine, leading to an increase in the attraction of foreign investments amidst the conditions of European integration processes and the post-war period.
Publisher
East-European Law Research Center
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