EVOLUTION OF ACCOUNTING-ANALYTICAL PARADIGMS IN THE DEVELOPMENT OF ACCOUNTING SYSTEMS FOR EXTRACTIVE INDUSTRY ENTERPRISES
Abstract
The article is dedicated to the evolution of accounting and analytical paradigms in the development of financial condition assessment systems for extractive industry enterprises. The study analyzes the gradual transition from the classical static paradigm, focused primarily on monitoring compliance with plans, standards, and reporting requirements, to dynamic, information-technological, institutional, strategic, and nature-oriented paradigms. It is shown that contemporary financial analysis has become a multiparadigmatic system, integrating both financial and non-financial indicators, considering long-term investment cycles, production risks, resource limitations, and regulatory influences. The research highlights the role of information-technological paradigms in enabling continuous monitoring, automated processing of accounting and operational data, and the application of advanced analytical tools, thereby increasing the efficiency and timeliness of management decisions. Institutional paradigms emphasize the interaction of enterprises with state authorities, investors, and other stakeholders, ensuring transparency, regulatory compliance, and social accountability, which is particularly relevant for resource-based industries. Strategic paradigms focus on long-term sustainability, risk assessment, scenario forecasting, and the alignment of financial analysis with enterprise strategic goals. Nature-oriented paradigms address the interconnection between financial performance and resource usage, environmental obligations, and sustainable development principles, integrating environmental and economic indicators into the evaluation of enterprise financial condition. The scientific novelty of the study lies in the conceptualization of a comprehensive multiparadigmatic model for financial analysis that simultaneously addresses managerial, strategic, institutional, and environmental dimensions. The proposed approach enhances the prognostic value of financial assessments, supports informed decision-making, and contributes to the optimization of accounting and analytical systems in extractive industries operating under conditions of high uncertainty and significant operational, financial, and ecological risks. The findings are relevant for scholars, practitioners, and regulators seeking to improve the reliability, efficiency, and strategic relevance of enterprise financial analysis in complex and resource-intensive sectors.
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