Transforming Physical Assets to Cognitive Enterprises With Digital Twins - Couverture souple

Couverture souple

ISBN 13 : 9798337399997

Editeur : Business Science Reference, 2026

Synopsis

The rapid advancement of digital transformation, artificial intelligence (AI), and cyber-physical systems is fundamentally changing the way organizations design, operate, and optimize their processes and assets. Among the most influential technological and managerial concepts driving this transformation is the digital twin, which has evolved from a technical monitoring tool to a strategic enabler of intelligent decision-making, predictive analytics, and adaptive business models. As data availability and computational capabilities continue to grow, digital twins are progressing toward cognitive and intelligent models capable of learning, adapting, and supporting autonomous or semi-autonomous decision-making. The concept of the cognitive enterprise represents the next stage of this evolution. Despite the growing importance of these developments, there remains a need for comprehensive academic and applied research that connects digital twin technologies with enterprise transformation, business intelligence, and more. Transforming Physical Assets to Cognitive Enterprises With Digital Twins brings together diverse perspectives to explore how digital twins can transform physical assets, operational systems, and organizational structures into intelligent, adaptive, and cognitive enterprises. It investigates managerial, organizational, and strategic implications of digital twin adoption, as well as the challenges related to implementation, governance, ethics, trust, and human-AI collaboration. Covering topics such as agentic intelligence, crisis management, and organizational transformation, this book is an excellent resource for researchers, academicians, graduate and doctoral students, industry professionals, consultants, policymakers, engineers, technology specialists, and more.

A propos du livre

À propos des auteurs

Zornitsa Yordanova is an Associate Professor of Business Information Systems and Innovation at the University of National and World Economy (UNWE), Sofia, Bulgaria, and guest lecturer at WU Vienna, New Bulgarian University, and CITY College (University of York Europe Campus). Her research focuses on digital transformation, innovation management, open innovation, and process automation. She is PMP® certified and also consults multinational companies on digital transformation initiatives.

Hamed Nozari is a distinguished researcher at University of National and World Economy (UNWE), Sofia, Bulgaria, and innovator in industrial engineering, supply chain optimization, and artificial intelligence applications. Holding a Ph.D. in Industrial Engineering, he has made significant contributions to the fields of multi-objective decision-making, smart supply chains, and digital twin technologies. His research spans various interdisciplinary areas, including predictive maintenance in green supply chains, AI-driven marketing optimization, cybersecurity in smart economies, Digital twin, and autonomous AI for sustainable last-mile delivery.

Détails de l'édition

• Éditeur: Business Science Reference
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798337399997
• Reliure: Broché
• Nombre de pages: 468
• Éditeur: Yordanova Zornitsa, Nozari Hamed
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne