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Full Description
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.
Contents
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.



