AI-Oriented Competency Framework for Talent Management in the Digital Economy

Models, Technologies, Applications, and Implementation

Alex Khang

• Editorial: CRC Press
• Año: 2024
• ISBN:
  9781040022269
• Edición: 1
• Categoría: Ciencia de la computación
• Categoría: Inteligencia artificial (IA) y semántica

In the digital-driven economy era, an AI-oriented competency framework (AIoCF) is a collection to identify AI-oriented knowledge, attributes, efforts, skills, and experiences (AKASE) that directly and positively affect the success of employees and the organization. The application of skills-based competency analytics and AI-equipped systems is gradually becoming accepted by business and production organizations as an effective tool for automating several managerial activities consistently and efficiently in developing and moving the capacity of a company up to a world-class level.

AI-Oriented Competency Framework for Talent Management in the Digital Economy: Models, Technologies, Applications, and Implementation discusses all the points of an AIoCF, 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. The book includes the functionality of emerging career pathways, hybrid learning models, and learning paths related to the learning and development of employees in the production or delivery fields. It also presents the relationship between skills taxonomy and competency framework with interactive methods using datasets, processing workflow diagrams, and architectural diagrams for easy understanding of the application of intelligent functions in role-based competency systems. By also covering upcoming areas of AI and data science in many government and private organizations, the book not only focuses on managing big data and cloud resources of the talent management system but also provides cybersecurity techniques to ensure that systems and employee competency data are secure.

This book targets a mixed audience of students, engineers, scholars, researchers, academics, and professionals who are learning, researching, and working in the field of workforce training, human resources, talent management systems, requirement, headhunting, outsourcing, and manpower consultant services from different cultures and industries in the era of digital economy.

Índice

• Cover
• Half Title
• Title Page
• Copyright Page
• Table of Contents
• Preface
• Acknowledgments
• About the Editor
• Contributors
• 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 Modeling of Artificial Intelligence-Oriented Competency Framework for Information Technology Sector
• Chapter 18 Workforce Management: An Endeavour Toward 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 Employee 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
• Index