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Rubric: Economy

The impact of modern ERP systems on supply chain management
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Bibliographic description of the article for the citation:

. The impact of modern ERP systems on supply chain management//Science online: International Scientific e-zine - 2025. - №4. - https://nauka-online.com/en/publications/economy/2025/4/19-7/

Annotation: Amid accelerating global digitalization of business processes, the integration of ERP systems into supply chain management has become a key factor in determining the competitiveness of modern enterprises. The aim of this article is to provide a multifaceted analysis of the transformational impact of enterprise resource planning (ERP) platforms on logistics operations, with a focus on identifying and describing mechanisms that enhance the efficiency of material flows. Ongoing academic debates reveal significant contradictions regarding the optimal level of ERP system customization, the role of the human factor in implementation, and the potential for integration with Industry 4.0 technologies. Based on a structured review of relevant publications, it is observed that the comprehensive integration of ERP platforms into supply chain architecture leads not only to quantitative improvements in operational performance—such as inventory reduction and enhanced forecasting accuracy—but also to a qualitative transformation of managerial paradigms. In this context, the author outlines a perspective on the development of workforce competencies within the digital ecosystem. The content presented in this article is valuable for logistics managers, system integrators, and the academic community engaged in research on the digital transformation of business processes.

Keywords: artificial intelligence digital transformation enterprise resource planning ERP systems integration inventory management logistics optimization supply chain synchronization
Categories: Economy
329 Comments off Read online

Methodological approaches to evaluating the effectiveness of digital marketing tools: models, methods
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Bibliographic description of the article for the citation:

. Methodological approaches to evaluating the effectiveness of digital marketing tools: models, methods//Science online: International Scientific e-zine - 2025. - №4. - https://nauka-online.com/en/publications/economy/2025/4/13-17/

Annotation: The article explores methodological approaches to evaluating the effectiveness of digital marketing tools. It analyzes existing evaluation models (including the adaptation of the Balanced Scorecard, conversion attribution models, etc.) and classifies the main methods for measuring digital marketing performance It is concluded that a comprehensive approach combining various models, methods, and metrics is necessary for a thorough measurement of the impact of digital marketing activities on business results. Future research prospects include the development of integrated evaluation systems using big data and artificial intelligence, as well as the adaptation of evaluation methodologies to new digital platforms and tools.

Keywords: digital marketing effectiveness evaluation KPI marketing metrics ROI маркетингова аналітика маркетингові метрики методи оцінювання оцінка ефективності цифровий маркетинг
Categories: Economy
338 Comments off Read online

The role of executive leadership in transforming financial management practices
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Bibliographic description of the article for the citation:

. The role of executive leadership in transforming financial management practices//Science online: International Scientific e-zine - 2025. - №3. - https://nauka-online.com/en/publications/economy/2025/3/13-16/

Annotation: This article investigates the role of executive leadership in transforming financial management practices in global organizations, with a specific focus on the United States and Europe. Drawing on recent academic literature and authoritative consulting reports from the past five years, the study examines how top executives—particularly Chief Financial Officers—drive change through clear vision setting, strategic alignment, technology adoption, process reengineering, and talent development. The comparative analysis highlights common trends, such as a shift toward digital and data-driven financial functions, as well as regional differences in the urgency and methods of transformation. The findings indicate that effective executive leadership is pivotal for overcoming resistance to change, ensuring regulatory compliance, and fostering a culture of continuous improvement. These insights provide both theoretical contributions and practical recommendations for organizations aiming to modernize their financial management in today’s complex business environment.

Keywords: CFO Change Management digital transformation Executive Leadership Financial Management Transformation Global Practices Process Reengineering U.S. and Europe
Categories: Economy
307 Comments off Read online

Application of demand forecasting models in inventory management
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Bibliographic description of the article for the citation:

. Application of demand forecasting models in inventory management//Science online: International Scientific e-zine - 2025. - №3. - https://nauka-online.com/en/publications/economy/2025/3/08-20/

Annotation: The study focuses on improving inventory management efficiency through accurate demand forecasting. It provides an overview of key statistical methods (ARIMA, exponential smoothing) and modern machine learning techniques (decision trees, neural networks), along with their hybrid versions. The impact of forecast accuracy on critical logistics aspects—inventory levels, safety stock, turnover rates, and shortage risks—is examined. Successful implementation practices in leading companies are analyzed, highlighting the economic benefits achieved. The author's contribution includes recommendations on selecting and adapting models to the specifics of logistics processes, as well as proposals for integrating demand forecasting with other elements of supply chain management.

Keywords: ARIMA demand forecasting forecast accuracy inventory management logistics machine learning neural networks supply chain
Categories: Economy
315 Comments off Read online

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