AI-Driven Knowledge Management Processes
portes grátis
AI-Driven Knowledge Management Processes
Strategies for the Modern Business Landscape
Russ, Meir; Lytras, Miltiades D.
Emerald Publishing Limited
03/2026
376
Dura
Inglês
9781805923923
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Part 1. Introduction
Chapter 1. The New Era of Artificial Intelligence in Knowledge Management: Framing the Foundations of Intelligent Processes; Meir Russ and Miltiadis D. 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 D. Lytras and Meir Russ
Chapter 1. The New Era of Artificial Intelligence in Knowledge Management: Framing the Foundations of Intelligent Processes; Meir Russ and Miltiadis D. 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 D. Lytras and Meir Russ
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Generative AIs; Tacit Knowledge; Data Analytics; Digital Transformation; Strategic Decision-Making; Healthcare Supervision
Part 1. Introduction
Chapter 1. The New Era of Artificial Intelligence in Knowledge Management: Framing the Foundations of Intelligent Processes; Meir Russ and Miltiadis D. 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 D. Lytras and Meir Russ
Chapter 1. The New Era of Artificial Intelligence in Knowledge Management: Framing the Foundations of Intelligent Processes; Meir Russ and Miltiadis D. 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 D. Lytras and Meir Russ
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
