1st Edition
AI-Oriented Competency Framework for Talent Management in the Digital Economy Models, Technologies, Applications, and Implementation
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.
Chapter 1 Future Directions and Challenges in Designing Workforce Management Systems for Industry 4.0
Alex Khang, Kali Charan Rath, Brojo Kishore Mishra, Revati Ramrao Rautrao, and Lakshmi Prasad Panda
Chapter 2 The Significance of Artificial Intelligence in Career Progression and Career Pathway Development
Sathish A. S., Samuel Rajkumar V., Vihas Vijay, and Chinnadurai Kathiravan
Chapter 3 The Role of Artificial Intelligence in Talent Management and Career Development
Shivakumar Kagi, Balamurugan R., Sampath Dakshina Murthy A., Surrya Prakash DilliBabu, and Nidhya M. S.
Chapter 4 The Power of Artificial Intelligence in Talent Recruitment Revolution: Creating a Smarter Workforce
Arpita Nayak, Atmika Patnaik, Ipseeta Satpathy, Alex Khang, and B. C. M. Patnaik
Chapter 5 Challenges of Communication with Gen‑Z in the Era of Artificial Intelligence‑Interceded Digital Economy
Zakia Tasmin Rahman, Ruhi Lal, and Ravinder Rena
Chapter 6 Modern Work Ecosystem and Career Prospects with Artificial Intelligence Integration
Sugandha Chebolu and Sakthi Srinivasan K.
Chapter 7 Artificial Intelligence Competency Framework: Navigating the Shift to an Artificial Intelligence‑Infused World
Bharathithasan S. and Sakthi Srinivasan K.
Chapter 8 Building the Perfect Match Using Artificial Intelligence in Career Development
Arpita Nayak, Alex Khang, Ipseeta Satpathy, Sasmita Samanta, and B.C.M. Patnaik
Chapter 9 Artificial Intelligence‑Powered Competency Framework for Robo‑Advisory Services in the Era of Digital Economy
Debanjalee Bose and Sakthi Srinivasan K.
Chapter 10 Future‑Proofing Talent Management: Anticipating the Evolution of AIoCF Model in the Digital Economy
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, and Sachin Chaudhary
Chapter 11 Enrich Skills Recommendation Based on Sentiment Analysis Using Ensemble Learning
Nidhya M. S., Vijaya Kumar Guivada, Maniraj S. P., and Neetu Pillai
Chapter 12 Revamping the Hiring Process using WebRTC, AWS Cloud, and Gaze‑Tracking Application
Megharani Patil, Rohan Rajendra Dalvi, Faraz Hussain, and Suyog Gupta
Chapter 13 Conceptual Analysis Study: A Paradigm Shift Transformation in Human Resource Management
Muna Fathmath and Albattat Ahmad
Chapter 14 Shaping Artificial Intelligence‑Perceived Hybrid Learning Environment at University Toward the Global Talent Development Strategy
Muthmainnah M, Besse Darmawati, Alex Khang, Ahmad Al Yakin, Ahmed J. Obaid, and Ahmed A. Elngar
Chapter 15 The Role of Artificial Intelligence in Developing an Effective Training Assessment Tool
Swati Bhatia, Veenu Arora, and Shweta Batra
Chapter 16 Revolutionizing Recruitment: Skill‑Based Interview Models in the Artificial Intelligence‑Driven Economy
Sharmila Devi R. and Swamy Perumandla
Chapter 17 Design and Modeling of Artificial Intelligence‑Oriented Competency Framework for Information Technology Sector
Alex Khang
Chapter 18 Workforce Management: An Endeavour Toward Optimizing Excellence of Higher Education Institutes
Annada Sankar Dash, Durga Prasad Singh Samanta, Amarendra Bhuyan, and Udayana Mohanty
Chapter 19 Accelerating Student’s Creativity in Writing Paragraph through Artificial Intelligence Technology
Eka Apriani, Muthmainnah M, Erfin Wijayanti, Beni Azwar Kons, and Ahmad Al Yakin
Chapter 20 Implementation of AIoCF Model and Job Assessment Application for Information Technology Sector
Alex Khang
Chapter 21 Artificial Intelligence‑Centric Applications in Data Privacy and Cybersecurity for Human Resource Systems
Babasaheb Jadhav, Vikram Barnabas, and Mudassar Sayyed
Chapter 22 Cybersecurity Techniques in Talent Management and Human Capital Management Systems
Wasswa Shafik and Alex Khang
Chapter 23 Role of Augmented Reality and Virtual Reality in the Post‑Covid‑19 Scenario of Employee Training
B. C. M. Patnaik, Ipseeta Satpathy, Alex Khang, Rashmi Gujrati, and Hayri Uygun
Chapter 24 Designing Artificial Intelligence‑Enabled Training Approaches and Models for Physical Disabilities Individuals
Chabi Gupta and Alex Khang
Chapter 25 Human‑Centered Approach as a Methodological Tendency of Personnel Management in Workplace
Alex Khang, Inna Semenets‑Orlova, Hennadiiy Dmytrenko, Nataliia Holovach, Liubov Zgalat‑Lozynska, and Roman Shevchuk
Biography
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.
