MODERN METHODS FOR ASSESSING ECONOMIC EFFICIENCY UNDER CONDITIONS OF DIGITAL TRANSFORMATION
DOI:
https://doi.org/10.5281/zenodo.20971508Abstract
The study examines the scientific, theoretical, and practical foundations of modern methods for assessing
economic efficiency in the context of digital transformation. The impact of digital technologies on economic processes, as well
as traditional and innovative approaches to efficiency measurement, is analyzed, and a comprehensive model for economic
efficiency assessment is proposed. Particular attention is given to the application of modern tools, including Big Data,
artificial intelligence, machine learning, digital analytics, the Balanced Scorecard, Activity-Based Costing (ABC), Economic
Value Added (EVA), Return on Investment (ROI), and Key Performance Indicators (KPI). In addition, dynamic approaches
to efficiency assessment based on simulation modeling, scenario analysis, and econometric models are developed. The
findings have significant scientific and practical value for improving the management of digital transformation processes,
enhancing the quality of strategic decision-making, and ensuring the long-term economic sustainability of enterprises and
organizations.
Keywords
digital transformation, economic efficiency, assessment methods, digital analytics, Big Data, artificial intelligence, machine learning, KPI, Balanced Scorecard, EVA, ROI, ABC, simulation modeling, scenario analysis, econometric models, strategic management, innovative assessment, competitivenessReferences
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