Magni AI-Driven Business Models

Theoretical Foundations and Implications for Strategy, Innovation and Management
Erscheinungsjahr 2026
ISBN: 978-3-032-35262-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 165 Seiten

Reihe: Business and Management

This monograph offers an analysis of how AI is reshaping core business functions, from strategy formulation to operational execution. Structured in five parts, the book frames AI not just as a technological tool but as a transformative institutional logic that redefines how firms create value. Part I reconceptualizes business models in the AI era by exploring the shift from linear value chains to a business as an adaptive learning system. Part II then analyzes the strategic tensions inherent in AI adoption, including the balance between efficiency, innovation, and data governance.  Part III highlights new modes of human-AI collaboration, the challenges of algorithmic risk, and the enduring role of human creativity and judgment as strategic assets. Part IV and V address societal and international business perspectives, as well as future directions for research. This book is appropriate for scholars, executives, and policymakers seeking analytical frameworks and insights to navigate the transformations AI brings to strategy, innovation and management.

Zielgruppe

Research

Autoren/Hrsg.

Magni, Domitilla

Inhaltsverzeichnis

Part I: Reconceptualizing Business Models in the AI Era.- Chapter 1: The firm as an Intelligent System.- Chapter 2: From Value Chains to Value Constellations.- Chapter 3: Business Models as Adaptive Learning Systems.- Part II: Strategic Tensions in AI Driven Organizations.- Chapter 4: Efficiency and Innovation The Dual Strategic Logic of AI.- Chapter 5: Data as Strategic Resource.- Chapter 6: Revisiting Competitive Advantage in the Age of AI.- Part III: The Intelligent Organization.- Chapter 7: Architectures of Human AI Collaboration.- Chapter 8: Managing Risk, Bias, and Algorithmic Uncertainty.- Chapter 9: Preserving Human Creativity and Judgment in AI Driven Firms.- Part IV: Societal and International Business Perspectives.- Chapter 10: Opportunities and Barriers in Global AI Adoption.- Chapter 11: AI and International Business Strategies.- Chapter 12: Global Implications of AI-Driven Business Models.- Part V: Managerial Implications and Future Directions.- Chapter 13: Strategic Patterns in AI-Driven Enterprises An Illustrative Synthesis.- Chapter 14: From Research Gaps to Strategic Guidance.- Chapter 15: The Future of Business Models in the AI Economy.

Über Autor(innen)

Domitilla Magni is an Associate Professor at the Department of Economics and Business Management Sciences at Catholic University of the Sacred Heart in Milan, Italy. She has previously served as a Visiting Professor at international institutions such as Bayes Business School at City St. George's, University of London, Universidad Panamericana in Mexico City and New York University’s Stern School of Business. Dr. Magni’s research focuses on international business, knowledge management, digital transformation, and sustainability. She has published extensively in scholarly journals, including  , , and the . In addition to her journal publications, Dr. Magni has authored and contributed to several books, including (Palgrave Macmillan, 2019).