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AI-Driven Knowledge Management Assets, Volume 1 : Strategies for the Modern Business Landscape
AI-Driven Knowledge Management Assets, Volume 1 : Strategies for the Modern Business Landscape
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ISBN No.: 9781805923923
Pages: 376
Year: 202603
Format: Trade Cloth (Hard Cover)
Price: $ 157.38
Dispatch delay: Dispatched between 7 to 15 days
Status: Available (Forthcoming)

Part 1. Introduction Chapter 1. The New Era of Artificial Intelligence in Knowledge Management: Framing the Foundations of Intelligent Processes; Meir Russ and Miltiadis Lytras Part 2. The Role of AI in Enhancing Knowledge Management Processes Chapter 2. The Role of AI in Enhancing Knowledge Management Processes; Tamer Fahmy, Richa Minda, and Stephen Pak Chapter 3. The Ethical and Managerial Implications of Integrating Generative Artificial Intelligence into Knowledge Management Processes; James Osabuohien Odia Chapter 4. Artificial Intelligence-Based Risk Identification in Supervision Reports of the Ministry of Health; Avital Zadok and Daphne Ruth Raban Part 3. AI and Knowledge Discovery: Techniques and Applications Chapter 5.


Effectively Informing Policies with Digital Twins, AI and Digital Technologies; Giovanna Di Marzo Serugendo Chapter 6. The Complementary Roles of AI and Human Intelligence (HI) in Business Knowledge Management; Khoon Chin Chapter 7. AI and Knowledge Management: Navigating the Misinformation Maze; Liz Kheng and Mark D. Schriml Chapter 8. Transforming Knowledge Management with AI: Leveraging Retrieval-Augmented Generation (RAG) in Business Strategy; Yiyuan Ava Liu and Wanxi Li Part 4. Machine Learning for Organizational Learning and Knowledge Sharing Chapter 9. Learning and Development (L&D) Units and Organizational Culture: Impacts on GenAI Adoption in Israeli Organizations; Gila Kurtz, Eran Gal, Einav Yehilaviz, and Shachar Mahalal Chapter 10. Enhancing Business Education with the Knowledge Management Mesosystem Model: A Framework for Active Learning, AI Integration, and Knowledge Sharing; Shanzhen Gao and Weizheng Gao Part 5.


Ethical Considerations in AI-Driven Knowledge Management Chapter 11. Ethical Considerations in AI-Driven Knowledge Management: Navigating Challenges in the Modern Business Landscape; Theophilus Kofi Anyanful Chapter 12. Who Can? AI Can! Enhancing Firms' Knowledge Management Capabilities Through an Ethical Implementation of Artificial Intelligence; Soode Vaezinejad, Christopher Michael Starkey, and Dara Schniederjans Chapter 13. Biases and Ethical Considerations in AI-Driven Knowledge Management; Ruti Gafni, Boris Kantsepolsky, and Sofia Sherman Part 6. Conclusions Chapter 14. The Way Forward: A Roadmap for the Effective Adoption of AI-Driven Knowledge Management Strategies in Business; Miltiadis Lytras and Meir Russ.


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