Buch, Englisch, 614 Seiten, Format (B × H): 174 mm x 246 mm
Artificial Intelligence and the Transformation of Organizations
Buch, Englisch, 614 Seiten, Format (B × H): 174 mm x 246 mm
ISBN: 978-1-041-30568-2
Verlag: Taylor & Francis
Algorithmic Management: Artificial Intelligence and the Transformation of Organizations is the first comprehensive textbook designed to prepare management students to engage critically and responsibly with artificial intelligence in organizations. Bringing together classical management theory, contemporary AI applications, and systematic power analysis, the book equips future managers to both harness AI’s potential and confront its risks.
Structured in three parts, the book begins with foundational frameworks—socio-technical systems theory, technology and society perspectives, and core management theories reinterpreted for the AI era. It then examines applications across all major management functions—Marketing, HR, Finance, Operations, Supply Chain, and Strategy—using over 30 real-world case studies drawn from different industries, parts of the world, and types of organizations from multinational corporations to nonprofits and social ventures. The final section addresses organizational design, leadership, governance, and the future of algorithmic organizations. Throughout, pedagogical features—learning objectives, vignettes, discussion questions, toolkits, and ethical dilemmas—make the book classroom-ready and adaptable across MBA, undergraduate, and executive education settings. The text advances an approach of pragmatic criticality: AI is neither celebrated uncritically nor rejected outright but treated as a socio-technical phenomenon requiring managerial judgment, ethical reflection, and contextual awareness.
By bridging management theory, functional practice, and critical perspectives, this book fills a critical market gap and is positioned to become the definitive teaching resource on AI and management for business education worldwide.
Zielgruppe
Postgraduate, Professional Practice & Development, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Medien-, Informations und Kommunikationswirtschaft Informationstechnik, IT-Industrie
- Wirtschaftswissenschaften Betriebswirtschaft Management
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
Weitere Infos & Material
Part I — Foundations of Algorithmic Management Chapter 1. Introduction to Algorithmic Management Chapter 2. Organizations as Socio-Technical Systems Chapter 3. Understanding Power in Algorithmic Management Chapter 4. How Technologies Take Shape in Organizations Chapter 5. Adopting and Scaling Algorithmic Systems Chapter 6. Revisiting Management with Algorithms Part II — The Transformation of Managerial Functions Chapter 7. AI in Marketing Chapter 8. AI in Human Resources Chapter 9. AI in Finance Chapter 10. AI in Operations Management Chapter 11. AI in Supply Chain Management Chapter 12. AI in Strategic Management Chapter 13. AI in Information Technology and Digital Infrastructure Chapter 14. AI in Design Part III — Governing Algorithmic Organizations Chapter 15. Designing Organizations for AI Chapter 16. Leading with AI Chapter 17. Managing Skills, Roles, and Careers with AI Chapter 18. AI Governance and Regulation Chapter 19. The Future of Algorithmic Management
