Irina V. Baranova

The Russian Presidential Academy of National Economy and Public Administration

Papers

Total Citations

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About

Irina V. Baranova is a researcher specializing in the intersection of mathematical modeling, digital transformation, and high-tech enterprise management. Her work focuses on developing practical frameworks and optimization strategies for manufacturing and innovation processes within technologically advanced organizations. Baranova's most influential contribution, "Mathematical Modeling in High Tech Enterprise Innovation and Production Component Enhancing Strategy" (2020), has garnered 11 citations and addresses critical production optimization challenges in high-tech manufacturing. In this work, she proposed a rigorous step-by-step algorithmic mechanism grounded in Johnson's method, providing enterprises with actionable tools to streamline production subdivision performance. Complementing this, her 2019 paper on digital transformation methodology — cited 7 times — outlines a comprehensive concept for enterprise modernization through innovation, targeting improvements across products, technological operations, and organizational structures. Together, these works reflect Baranova's commitment to bridging theoretical rigor with real-world applicability. Her research is particularly valuable for students and practitioners navigating the complexities of industrial digitalization and operational efficiency. Through her combined focus on quantitative modeling and strategic transformation, Baranova contributes meaningfully to the evolving discourse on how high-tech enterprises can adapt and thrive in competitive, technology-driven environments.