Перегляд за Автор "Tetiana Dluhopolska"

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    Forecasting Demand for Eco-Friendly Vehicles Using Machine Learning Technologies in the Era of Management 5.0
    (MDPI AG Switzerland, 2025-05-13) Serhii Kozlovskyi; Tetiana Kulinich; Taras Popovskyi; Tetiana Dluhopolska; Artur Kornatka; Yurii Popovskyi
    Management 5.0 represents a new paradigm in business strategy and leadership that integrates sustainability, advanced digital technologies, and human-centered decision-making. The article explores the application of machine learning technologies for forecasting demand for eco-friendly vehicles as a key tool for enhancing manufacturers’ competitiveness. This research supports key UN Sustainable Development Goals (SDGs), including SDG 7 (Clean Energy), SDG 9 (Innovation and Infrastructure), SDG 11 (Sustainable Cities), and SDG 12 (Responsible Consumption). Based on an analysis of the European market from 2019 to 2023 and forecasting through 2027, a comprehensive approach was developed using ARIMA, Prophet, and Random Forest models. Empirical findings indicate that implementing predictive analytics can reduce inventory costs by 18–25% and optimize working capital by 15–20%. Model performance varied by market type: Random Forest excelled in smaller markets, while Prophet delivered strong results in trend-stable environments. The results confirm that accurate demand forecasting, supported by machine learning technologies, creates significant competitive advantages in the era of management 5.0 through production process optimization and improved market positioning.
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    Документ
    IMPACT OF ENERGY INNOVATIONS ON THE UKRAINE’S ECONOMY: STRATEGIC DIRECTION AND MANAGERIAL PRACTICES
    (Бієліна: Інститут Ойкос - дослідницький центр, 2022-09-30) Olena Trofymenko; Olha Ilyash; Serhii Voitko; Tetiana Dluhopolska; Serhii Kozlovskyi; Svitlana Hrynkevych
    Diversification of energy sources and innovative development of the energy sector are one of the main directions for ensuring sustainable development and decarbonization of the economy. The aim of the article is to identify connections and interactions between the parameters of energy innovation development and economic growth. Factor analysis was used for this purpose. The results and conclusions determine the most influential factors among the 5 components identified in accordance with the functional areas of innovative development of the national economy in energetics. The analysis allowed to identify the main trends in the development of factors, which allowed to identify positive and negative changes. The egularities of the influence of certain factors on energy innovations have been determined, which has allowed to provide recommendations for their further development and regulation