AI-Driven Knowledge Management Assets
portes grátis
AI-Driven Knowledge Management Assets
Strategies for the Modern Business Landscape
Lytras, Miltiades D.; Russ, Meir
Emerald Publishing Limited
03/2026
344
Dura
Inglês
9781836627791
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Part 1. Introduction
Chapter 1. Unveiling the AI-Driven Knowledge Asset Landscape: Foundations, Innovations, and Integration Strategies; Miltiadis D. Lytras and Meir Russ
Part 2. AI-Driven Decision Support Systems in Business
Chapter 2. How Artificial Intelligence Affects the Decision-Making Process in Business: AI-Driven Decision Support Systems; Cem Ufuk Baytar
Chapter 3. AI-Driven Decision Support Systems for Transforming Employee Engagement and Training in Business; Jill Courtney
Part 3. Case Studies on AI-Driven Knowledge Management Systems
Chapter 4. Implementing Artificial Intelligence for Knowledge Management in Small and Medium Enterprises; Kabiru Ishola Genty, Godwin Kaisara, Sulaiman Olusegun Atiku, and Hylton James Villet
Chapter 5. Technology Using Artificial Intelligence (AI) to Enhance Productivity and Sustainability in Atlantic Salmon Production and Challenges from Knowledge Management; Per Harald Rodvei, Knut Ingar Westeren, and Martin Munkeby
Chapter 6. Transforming Knowledge Management through Synergistic AI-Human Collaboration; Viraj Dawarka and Geshwaree Huzooree
Chapter 7. Architectural AI Design Patterns for Knowledge Management Processes; Giovanna Di Marzo Serugendo and Lamia Friha
Chapter 8. Cooperation Between Artificial Intelligence and Lateral Transshipment: Qualitative study; Elleuch Fadoi
Part 4. The Role of AI and KM in Enhancing Employee Relationship and Talent Management
Chapter 9. How AI influences Employees' Organisational Behaviour in Workplaces; Mandy Mok Kim Man, Wong Wan Ting, Lebene Soga, and Maria Fernandez-Muinos
Chapter 10. AI in Action: Decoding the Employee Experience Connection to Boost Engagement; Puneet Kumar and Nayantara Padhi
Chapter 11. Reimagining Talent Management through the AI-Knowledge Nexus; Unnar Theodorsson
Part 5. The Future of AI in Knowledge Management: Challenges and Opportunities
Chapter 12. The Prospective Developments of Artificial Intelligence in the Domain of Knowledge Management: Challenges and Opportunities; Viraj Dawarka, Alisha Hingun Goolam Gukan, and Aisha Bibi Idoo
Chapter 13. AI-Driven Knowledge Management for Development in the Global South: Bridging Digital Divides through Localized Innovation; Nanette Y. Saes, Bruce W. Watson, and Liam R. Watson
Chapter 14. Artificial Intelligence and Knowledge Management Systems: Transforming the Future of Business Operations in the Fourth Industrial Revolution; Rashmi Kumari, Sujata Priyambada Dash, and Rajeshwari Chatterjee
Part 6. Conclusions
Chapter 15. Safeguarding the Future: Addressing Fraud, Misuse, and Ethical Vulnerabilities in AI-Driven Knowledge Management; Meir Russ and Miltiadis D. Lytras
Chapter 1. Unveiling the AI-Driven Knowledge Asset Landscape: Foundations, Innovations, and Integration Strategies; Miltiadis D. Lytras and Meir Russ
Part 2. AI-Driven Decision Support Systems in Business
Chapter 2. How Artificial Intelligence Affects the Decision-Making Process in Business: AI-Driven Decision Support Systems; Cem Ufuk Baytar
Chapter 3. AI-Driven Decision Support Systems for Transforming Employee Engagement and Training in Business; Jill Courtney
Part 3. Case Studies on AI-Driven Knowledge Management Systems
Chapter 4. Implementing Artificial Intelligence for Knowledge Management in Small and Medium Enterprises; Kabiru Ishola Genty, Godwin Kaisara, Sulaiman Olusegun Atiku, and Hylton James Villet
Chapter 5. Technology Using Artificial Intelligence (AI) to Enhance Productivity and Sustainability in Atlantic Salmon Production and Challenges from Knowledge Management; Per Harald Rodvei, Knut Ingar Westeren, and Martin Munkeby
Chapter 6. Transforming Knowledge Management through Synergistic AI-Human Collaboration; Viraj Dawarka and Geshwaree Huzooree
Chapter 7. Architectural AI Design Patterns for Knowledge Management Processes; Giovanna Di Marzo Serugendo and Lamia Friha
Chapter 8. Cooperation Between Artificial Intelligence and Lateral Transshipment: Qualitative study; Elleuch Fadoi
Part 4. The Role of AI and KM in Enhancing Employee Relationship and Talent Management
Chapter 9. How AI influences Employees' Organisational Behaviour in Workplaces; Mandy Mok Kim Man, Wong Wan Ting, Lebene Soga, and Maria Fernandez-Muinos
Chapter 10. AI in Action: Decoding the Employee Experience Connection to Boost Engagement; Puneet Kumar and Nayantara Padhi
Chapter 11. Reimagining Talent Management through the AI-Knowledge Nexus; Unnar Theodorsson
Part 5. The Future of AI in Knowledge Management: Challenges and Opportunities
Chapter 12. The Prospective Developments of Artificial Intelligence in the Domain of Knowledge Management: Challenges and Opportunities; Viraj Dawarka, Alisha Hingun Goolam Gukan, and Aisha Bibi Idoo
Chapter 13. AI-Driven Knowledge Management for Development in the Global South: Bridging Digital Divides through Localized Innovation; Nanette Y. Saes, Bruce W. Watson, and Liam R. Watson
Chapter 14. Artificial Intelligence and Knowledge Management Systems: Transforming the Future of Business Operations in the Fourth Industrial Revolution; Rashmi Kumari, Sujata Priyambada Dash, and Rajeshwari Chatterjee
Part 6. Conclusions
Chapter 15. Safeguarding the Future: Addressing Fraud, Misuse, and Ethical Vulnerabilities in AI-Driven Knowledge Management; Meir Russ and Miltiadis D. Lytras
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Agentic AI; Tacit Knowledge; Data Analytics; Digital Transformation; Strategic Decision-Making; Expert Systems; Supply Chain Management
Part 1. Introduction
Chapter 1. Unveiling the AI-Driven Knowledge Asset Landscape: Foundations, Innovations, and Integration Strategies; Miltiadis D. Lytras and Meir Russ
Part 2. AI-Driven Decision Support Systems in Business
Chapter 2. How Artificial Intelligence Affects the Decision-Making Process in Business: AI-Driven Decision Support Systems; Cem Ufuk Baytar
Chapter 3. AI-Driven Decision Support Systems for Transforming Employee Engagement and Training in Business; Jill Courtney
Part 3. Case Studies on AI-Driven Knowledge Management Systems
Chapter 4. Implementing Artificial Intelligence for Knowledge Management in Small and Medium Enterprises; Kabiru Ishola Genty, Godwin Kaisara, Sulaiman Olusegun Atiku, and Hylton James Villet
Chapter 5. Technology Using Artificial Intelligence (AI) to Enhance Productivity and Sustainability in Atlantic Salmon Production and Challenges from Knowledge Management; Per Harald Rodvei, Knut Ingar Westeren, and Martin Munkeby
Chapter 6. Transforming Knowledge Management through Synergistic AI-Human Collaboration; Viraj Dawarka and Geshwaree Huzooree
Chapter 7. Architectural AI Design Patterns for Knowledge Management Processes; Giovanna Di Marzo Serugendo and Lamia Friha
Chapter 8. Cooperation Between Artificial Intelligence and Lateral Transshipment: Qualitative study; Elleuch Fadoi
Part 4. The Role of AI and KM in Enhancing Employee Relationship and Talent Management
Chapter 9. How AI influences Employees' Organisational Behaviour in Workplaces; Mandy Mok Kim Man, Wong Wan Ting, Lebene Soga, and Maria Fernandez-Muinos
Chapter 10. AI in Action: Decoding the Employee Experience Connection to Boost Engagement; Puneet Kumar and Nayantara Padhi
Chapter 11. Reimagining Talent Management through the AI-Knowledge Nexus; Unnar Theodorsson
Part 5. The Future of AI in Knowledge Management: Challenges and Opportunities
Chapter 12. The Prospective Developments of Artificial Intelligence in the Domain of Knowledge Management: Challenges and Opportunities; Viraj Dawarka, Alisha Hingun Goolam Gukan, and Aisha Bibi Idoo
Chapter 13. AI-Driven Knowledge Management for Development in the Global South: Bridging Digital Divides through Localized Innovation; Nanette Y. Saes, Bruce W. Watson, and Liam R. Watson
Chapter 14. Artificial Intelligence and Knowledge Management Systems: Transforming the Future of Business Operations in the Fourth Industrial Revolution; Rashmi Kumari, Sujata Priyambada Dash, and Rajeshwari Chatterjee
Part 6. Conclusions
Chapter 15. Safeguarding the Future: Addressing Fraud, Misuse, and Ethical Vulnerabilities in AI-Driven Knowledge Management; Meir Russ and Miltiadis D. Lytras
Chapter 1. Unveiling the AI-Driven Knowledge Asset Landscape: Foundations, Innovations, and Integration Strategies; Miltiadis D. Lytras and Meir Russ
Part 2. AI-Driven Decision Support Systems in Business
Chapter 2. How Artificial Intelligence Affects the Decision-Making Process in Business: AI-Driven Decision Support Systems; Cem Ufuk Baytar
Chapter 3. AI-Driven Decision Support Systems for Transforming Employee Engagement and Training in Business; Jill Courtney
Part 3. Case Studies on AI-Driven Knowledge Management Systems
Chapter 4. Implementing Artificial Intelligence for Knowledge Management in Small and Medium Enterprises; Kabiru Ishola Genty, Godwin Kaisara, Sulaiman Olusegun Atiku, and Hylton James Villet
Chapter 5. Technology Using Artificial Intelligence (AI) to Enhance Productivity and Sustainability in Atlantic Salmon Production and Challenges from Knowledge Management; Per Harald Rodvei, Knut Ingar Westeren, and Martin Munkeby
Chapter 6. Transforming Knowledge Management through Synergistic AI-Human Collaboration; Viraj Dawarka and Geshwaree Huzooree
Chapter 7. Architectural AI Design Patterns for Knowledge Management Processes; Giovanna Di Marzo Serugendo and Lamia Friha
Chapter 8. Cooperation Between Artificial Intelligence and Lateral Transshipment: Qualitative study; Elleuch Fadoi
Part 4. The Role of AI and KM in Enhancing Employee Relationship and Talent Management
Chapter 9. How AI influences Employees' Organisational Behaviour in Workplaces; Mandy Mok Kim Man, Wong Wan Ting, Lebene Soga, and Maria Fernandez-Muinos
Chapter 10. AI in Action: Decoding the Employee Experience Connection to Boost Engagement; Puneet Kumar and Nayantara Padhi
Chapter 11. Reimagining Talent Management through the AI-Knowledge Nexus; Unnar Theodorsson
Part 5. The Future of AI in Knowledge Management: Challenges and Opportunities
Chapter 12. The Prospective Developments of Artificial Intelligence in the Domain of Knowledge Management: Challenges and Opportunities; Viraj Dawarka, Alisha Hingun Goolam Gukan, and Aisha Bibi Idoo
Chapter 13. AI-Driven Knowledge Management for Development in the Global South: Bridging Digital Divides through Localized Innovation; Nanette Y. Saes, Bruce W. Watson, and Liam R. Watson
Chapter 14. Artificial Intelligence and Knowledge Management Systems: Transforming the Future of Business Operations in the Fourth Industrial Revolution; Rashmi Kumari, Sujata Priyambada Dash, and Rajeshwari Chatterjee
Part 6. Conclusions
Chapter 15. Safeguarding the Future: Addressing Fraud, Misuse, and Ethical Vulnerabilities in AI-Driven Knowledge Management; Meir Russ and Miltiadis D. Lytras
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
