The Practice of Enterprise Modeling - 18th IFIP Working Conference, PoEM 2025, Geneva, Switzerland, December 3-5, 2025, Proceedings

This book constitutes the proceedings of the 18th IFIP Working Conference on the Practice of Enterprise Modeling, PoEM 2025, which took place in Geneva, Switzerland, during December 3-5, 2025.
PoEM offers a forum for sharing experiences and knowledge between the academic community and practitioners from industry and the public sector. This year the theme of the conference is  Enterprise Modeling for Sustainable Reindustrialization.
The 15 full papers and 4 short papers included in this book were carefully reviewed and selected from 44 submissions. They were organized in topical sections as follows: Enterprise Modeling for Sustainable Reindustrialization; AI and Model-Driven Approaches for the Next-Generation Enterprise; Human and Cognitive Dimensions of Enterprise Modeling; Contextual and Process-Oriented Modeling; and Intelligent and Secure Digital Transformation.

Inhaltsverzeichnis

Enterprise Modeling for Sustainable Reindustrialization.- AI and Model-Driven Approaches for the Next-Generation Enterprise.- Human and Cognitive Dimensions of Enterprise Modeling.- Contextual and Process-Oriented Modeling.- and Intelligent and Secure Digital Transformation.

Produktdetails

• Mitarbeit: Hans-Georg Fill (Herausgeber), Jolita Ralyté (Herausgeber), Jolita Ralyté et al (Herausgeber), Yves Wautelet (Herausgeber), Jelena Zdravkovic (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erscheint: 07.02.2026
• EAN: 9783032120625
• ISBN: 978-3-0-3212062-5
• Seiten: 317
• Illustration: XVII, 317 p. 69 illus.
• Serie: Lecture Notes in Business Information Processing
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Anwendungs-Software; Künstliche Intelligenz, Software Engineering, Digital Transformation, Artificial Intelligence, Wirtschaftsmathematik und -informatik, IT-Management, Unternehmensanwendungen, Business Process Management, IT in Business, Enterprise Architecture, Computer Application in Administrative Data Processing, Large Language Models, Conceptual modeling, Enterprise modeling, model-driven software engineering, meta modeling, enterprise digital twins