Managing Human and Artificial Knowledge
Springer International Publishing (Verlag)
978-3-032-14720-2 (ISBN)
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This edited volume offers a comprehensive framework for understanding the role of artificial intelligence (AI) in knowledge management (KM), providing a new benchmark for scholarly discussion in the field. Through a collection of research papers, it explores the symbiotic relationship between AI and KM, supported by theoretical insights and empirical evidence. The book focuses on the concept of "artificial knowledge," contrasting it with "human knowledge" within modern organizations and management. By examining the differences between human and AI-processed knowledge, it presents a fresh perspective on AI s role in KM. This volume is essential reading for academics, researchers, and professionals in AI, KM, organizational studies, and management who seek to deepen their understanding of these evolving fields.
Ettore Bolisani is an Associate Professor in the Department of Management and Engineering at the University of Padova, Italy, and is also a co-founder and former President of the International Association for Knowledge Management.
Maayan Nakash is an expert in Information Technology and Knowledge Management, serving as a researcher and lecturer at Bar-Ilan University, Israel, and Associate Editor for the journals Knowledge Management Research & Practice and Knowledge and Process Management.
Constantin Bratianu is an Emeritus Professor in the Department of Business Administration at Bucharest University of Economic Studies, Romania, and has also served as President of the International Association for Knowledge Management.
Ruxandra Bejinaru is an expert in Learning Organizations and Knowledge Management, working as an Associated Professor in the Department of Management, Business Administration, and Tourism at Stefan cel Mare University of Suceava, Romania.
Introduction.- Part 1: Emergence of Artificial Knowledge.- Human Knowledge and Artificial Knowledge.- AI and the Changing Landscape of Knowledge: Rethinking KM Core Concepts and Models.- The Evolving World of Enterprise Knowledge Management: History, Implications and Emerging Issues.- Part 2: Impact on Knowledge Management and Processes.- Toward an Artificial Knowing Cycle: A Model for Organizational Sensemaking, Knowledge Creation, and Decision-Making in the Age of AI.- Revisiting the SECI Model: The Impact of Generative AI on Organizational Knowledge Creation.- The impact of AI on knowledge sharing in organizations.- Regenerative AI: A Double-Edged Sword in Tackling Corporate Amnesia.- AI in Higher Education through complex lenses: Bridging Knowledge Management and Faculty Development.- Part 3: Challenges and Risks.- Towards an Understanding of Human Trust in Organizational Generative Artificial Intelligence (GenAI).- The Future of AI Must Drive Wisdom, Otherwise It Has No Future: A Framework Towards AI-Enabled Human Wisdom.- Knowledge Risks Created by the Dynamic Interaction Between Human and Artificial Knowledge.
| Erscheint lt. Verlag | 10.3.2026 |
|---|---|
| Reihe/Serie | Knowledge Management and Organizational Learning |
| Zusatzinfo | X, 240 p. 14 illus., 12 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Schlagworte | AI in Knowledge Management • AI in Modern Organizations • AI-Processed Knowledge • Artificial Knowledge vs Human Knowledge • Redefining AI in Management • Theoretical Insights on AI and KM |
| ISBN-10 | 3-032-14720-4 / 3032147204 |
| ISBN-13 | 978-3-032-14720-2 / 9783032147202 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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