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Data-Centric Business and Applications
Details
This book presents real-world applications across sectors, focusing on economic security, energy transitions, digital agriculture, ESG reporting, and investment strategiesall informed by the Ukrainian experience of transformation and uncertainty. Comprising 20 comprehensive chapters, this book provides methodologies for risk assessment, performance evaluation, and decision-making in the fields of finance, enterprise management, and innovation ecosystems. It introduces tools such as logistic regression for assessing the health of banks, microgrid strategies for renewable energy, and transistor-based microsensors for biomedical monitoring. This book is ideal for researchers, analysts, and policy advisors, providing a framework for applying data-centric approaches to modern challenges in business, sustainability, and regional development.
Explores problems and trends in the development of financial and investment innovation processes Covers various aspects of business information processing for effective enterprise management Provides strategies for developing digital businesses and information security
Inhalt
.- Innovative Potential in Ensuring Sustainable Development of the Enterprise.- RWA Tokenization Mechanisms as a Tool for Sustainable Economic Development of Local Hromadas in Ukraine.- Methodology for Assessing the State of Business Processes in Terms of Their Impact on the Economic Security of the Enterprise.- The Strategic Potential of Renewable Energy Microgrids: Global Transformations and Determinants of Sustainable Development, etc.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783032101525
- Anzahl Seiten 473
- Lesemotiv Verstehen
- Genre Technology
- Editor Andrii Semenov, Iryna Yepifanova, Jana Kajanová
- Sprache Englisch
- Herausgeber Springer-Verlag GmbH
- Untertitel Modern Trends in Financial and Innovation Data Processes 2025. Volume 1
- Größe H235mm x B155mm
- Jahr 2026
- EAN 9783032101525
- Format Kartonierter Einband
- ISBN 978-3-032-10152-5
- Titel Data-Centric Business and Applications