Buch, Englisch, 313 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 668 g
Applications and Challenges in the Romanian and Hungarian Context
Buch, Englisch, 313 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 668 g
Reihe: Contributions to Finance and Accounting
ISBN: 978-3-032-22736-2
Verlag: Springer Nature Switzerland AG
This Open Access book explores the application of artificial intelligence across finance, accounting, and business administration in Romania and Hungary. It provides a comprehensive assessment of the current landscape, including collaboration networks, industry use cases, data analysis and visualization techniques, and future research directions. Emphasizing the regional context, it examines policy frameworks, ecosystem dynamics, and practical case studies from both countries.
The first part of the book presents the state of the art in AI applications within finance, accounting, and business administration. It then analyzes the current state of the digital economy in Romania and Hungary, highlighting business transformations driven by AI integration. Finally, the book turns to future research perspectives, focusing on opportunities for universities and regional collaboration through AI initiatives in Central and Eastern Europe.
This book was developed within the project titled E2U-AI (project Code: ROHU00120). This project is funded under the Interreg VI-A Romania-Hungary Programme. For more information regarding the programme please visit the official website: http://www.interreg-rohu.eu.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensfinanzen Betriebliches Rechnungswesen
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Finanzsektor & Finanzdienstleistungen: Allgemeines
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
Weitere Infos & Material
Chapter 1. State of the Art of Artificial Intelligence Application in Finance, Accounting and Business Administration in Romania and Hungary.- Part I: Artificial Intelligence and the Digital Economy in Romania and Hungary.- Chapter 2. The Current State of The Digital Economy in Romania and Hungary.- Chapter 3. Governmental Initiatives and EU-Funded Projects.- Chapter 4. AI-Enabled Efficiency in Public Sector Processes – Pilot Pro-jects in Local Government.- Chapter 5. The Entrepreneurial Tech Ecosystems and AI Potential.- Chapter 6. The Romanian Labour Market and Its Response to Digital Transformation.- Chapter 7. The Hungarian Labour Market and Its Response to Digital Transformation.- Part II: Artificial Intelligence Solutions for Romanian and Hungarian Companies’ Activities.- Chapter 8. AI-Driven Decision Making in Companies: Opportunities and Barriers.- Chapter 9. From Transaction Processor to Strategic Analyst: Empirical Insights into the Digital Remodelling of The Accounting Func-tion.- Chapter 10. AI in Digital Marketing: Local Platforms and Consumer Behaviour.- Chapter 11. Digital Transformation through AI in a Major Hungarian Bank.- Chapter 12. AI-supported HR Management: Insights from Romanian and Hungarian.- Part III: Data Analysis and Visualisation in the AI Era.- Chapter 13. AI in Data Visualisation.- Chapter 14. AI in Data Analysis – A STATA Guide.- Chapter 15. Artificial Intelligence for Enhanced Integrated Reporting in Romania.- Chapter 16. A Successful Romanian AI-based FinTech Startup.- Chapter 17. A Successful Hungarian AI-based FinTech Startup.- Part IV: Research Perspectives and Future Directions in Romania and Hungary.- Chapter 18. Opportunities for Applied Research in Collaboration with Romanian Universities.- Chapter 19. Opportunities for Applied Research in Collaboration with Hungarian Universities.- Chapter 20. Regional Collaboration: AI Initiatives in Central and East-ern Europe.- Chapter 21. Human Capital Development: Academic Programs and Doc-toral Research In AI.- Chapter 22. AI’s Future Directions in Human Capital Development, Aca-demic Progress and Doctoral Research.




