Buch, Englisch, 278 Seiten, Format (B × H): 155 mm x 235 mm
ISBN: 978-981-9276-62-2
Verlag: Springer
This important new book explores how AI drives sustainable digital transformation, offering expert insights on strategy, innovation, governance, and value creation. With its integrated and sustainability-centered framework, the book creates a holistic perspective rarely addressed in existing AI and digital transformation literature. The focus is on how intelligent technologies are driving fundamental changes in the way organizations operate, compete, and create value. Its 13 chapters, from leading academics and industry specialists, offer a comprehensive and timely perspective on the sustainable impact of artificial intelligence on digital transformation. The information provided here goes beyond technological hype to explain how AI is reshaping responsible strategies, innovation processes, organizational structures, and managerial decision making. Through a combination of conceptual insights and applied perspectives, the chapters highlight practical approaches to implementing AI while addressing critical challenges such as governance, ethics, and workforce transformation. Readers gain a deeper understanding of how organizations can harness intelligent technologies to improve performance, build competitive advantage, and support sustainable growth. Designed for researchers, graduate students, executives, and policy professionals, this book serves both as a strategic resource and a scholarly reference. By bridging theory and practice, the text provides essential insights for those seeking to navigate complexity and lead effectively in an era of rapid technological change.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Betriebliches Energie- und Umweltmanagement
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
Weitere Infos & Material
Part 1. Foundations and Strategic Perspectives.- Chapter 1. Understanding Artificial Intelligence and Responsible Business Impact: Capturing and Assetizing Human Intent and Collaboration (Sunagawa).- Chapter 2. Strategic Power Intelligence as a Leadership Capability: A Conceptual Framework for Organizational Effectiveness in the AI Era (Hong and Wittmer).- Chapter 3. Financial Architecture of AI-Driven Digital Transformation: Strategy, Governance, and Value Creation (Hong and Kim).- Part 2. Innovation and Organizational Transformation.- Chapter 4. Innovation and Design of Organizations in the Digital Era: A Perspective on Human Resource Development for the Sustainable Growth of Japanese Companies (Toma).- Chapter 5. Artificial Intelligence in Education and Society: A Complex Societal Problem and Challenge (DeTombe).- Chapter 6. Beyond Technological Determinism: Labor Markets, Productivity, and Institutions of AI Governance (Lee and Ji).- Part 3. AI-Driven Transformation in Business and Operations.- Chapter 7. Why AI-Driven Supply Chains Outperform Traditional Supply Chain Operations (Lee et al).- Chapter 8. How AI Capability Drives Sustainable Supply Chain Performance: The Sequential Roles of Supply Chain Visibility and Agility (Zhao and Lee).- Chapter 9. Managing with Intelligence: The AI Era in Construction Project Management (Kim and Shayan).- Chapter 10. AI-Driven Transformation in Chemical Manufacturing (Park).- Part 4. Responsible and Sustainable AI-Enabled Transformation.- Chapter 11. Designing AI-Enabled Customer Experience in the Banking Environment: From Transactions to Relationships (Tulcanaza-Prieto and Lee).- Chapter 12. Critical Minerals and AI-Driven Digital Transformation: A Responsible Nexus Framework (Hong).- Chapter 13. Artificial Intelligence-Driven Digital Transformation for Smarter and More Sustainable Cities (Sadanoglu).




