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AI-Oriented Competency Framework for Talent Management in the Digital Economy
Models, Technologies, Applications, and Implementation
von Alex Khang
Verlag: Taylor & Francis
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Speicherplatz: 37 MB
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ISBN: 978-1-04-002225-2
Auflage: 1. Auflage
Erschienen am 29.05.2024
Sprache: Englisch
Umfang: 456 Seiten

Preis: 224,99 €

Klappentext
Biografische Anmerkung
Inhaltsverzeichnis

This book discusses all the points of an AI-Oriented Competency Framework which includes predictive analytics, advisory services, predictive maintenance, and automated processes, which help to make the operations of project management, personnel management, or administration more efficient, profitable, and safe.



Alex Khang is a Professor in Information Technology, IT Workforce Development Consultant, Software industry expert, Software product manager for High-tech Corporations in Vietnam, EU and USA; AI and Data scientist, and Chief of technology officer at the AI and Data Science Research Center, Global Research Institute of Technology and Engineering, North Carolina, United States.



Chapter 1. Future directions and challenges in designing Workforce Management Systems for Industry 4.0. Chapter 2. The significance of Artificial Intelligence in career progression and career pathway development. Chapter 3. The role of Artificial Intelligence in Talent Management and Career Development. Chapter 4. The power of Artificial Intelligence in Talent Recruitment Revolution: Creating a Smarter Workforce. Chapter 5. Challenges of communication with Gen-Z in the era of Artificial Intelligence-Interceded Digital Economy. Chapter 6. Modern work ecosystem and career prospects with Artificial Intelligence Integration. Chapter 7. Artificial intelligence Competency Framework: Navigating the shift to an Artificial Intelligence-Infused World. Chapter 8. Building the perfect match using Artificial Intelligence in Career Development. Chapter 9. Artificial intelligence-Powered Competency Framework for Robo-Advisory Services in the era of Digital Economy. Chapter 10. Future-proofing Talent Management: Anticipating the evolution of AIoCF model in the Digital Economy. Chapter 11. Enrich Skills Recommendation based on Sentiment Analysis using Ensemble Learning. Chapter 12. Revamping the hiring process using WebRTC, AWS Cloud and Gaze Tracking Application. Chapter 13. Conceptual Analysis Study: A paradigm shift transformation in Human Resource Management. Chapter 14. Shaping Artificial Intelligence-Perceived Hybrid Learning Environment at University toward the Global Talent Development Strategy. Chapter 15. The Role of Artificial Intelligence in developing an effective Training Assessment Tool. Chapter 16. Revolutionizing Recruitment: Skill-Based Interview Models in the Artificial Intelligence-Driven Economy. Chapter 17. Design and Modelling of Artificial Intelligence-Oriented Competency Framework for Information Technology Sector. Chapter 18. Workforce Management: An endeavour towards optimizing excellence of Higher Education Institutes. Chapter 19. Accelerating Student's Creativity in writing paragraph through Artificial Intelligence Technology. Chapter 20. Implementation of AIOCF model and Job Assessment Application for Information Technology Sector. Chapter 21. Artificial Intelligence-Centric Applications in Data Privacy and Cybersecurity for Human Resource Systems. Chapter 22. Cybersecurity Techniques in Talent Management and Human Capital Management Systems. Chapter 23. Role of Augmented Reality and Virtual Reality in the Post Covid-19 Scenario of Employees Training. Chapter 24: Designing Artificial Intelligence-Enabled Training Approaches and Models for Physical Disabilities Individuals. Chapter 25: Human-Centered Approach as a Methodological Tendency of Personnel Management in Workplace.


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