Designing workforce management systems for industry 4.0 data-centric and AI-enabled approaches
This book brings insight to the HR management system and offers data-centric approaches and AI-enabled applications for the design and implementation strategies used for workforce development and management.
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press
[2024]
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| Edición: | 1st ed |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825852506719 |
Tabla de Contenidos:
- 1. Workforce Management System: Concepts, Definitions, Principles, and Implementation. <BR>Snehal Maheshkar, Babasaheb Jadhav, Alex Khang<BR>2. Industry Revolution 4.0: Workforce Competency Models and Designs. <BR>Alex Khang, Babasaheb Jadhav, Sphurti Birajdar<BR>3. AI Powered Workforce Management in Industry 4.0 Era. <BR>Lokpriya Gaikwad, Alex Khang<BR>4. AI-based Competency Model and Design in the Workforce Development System. <BR>Parin Somani, Shashi Kant Gupta, Chandra Kumar Dixit, Anchal Pathak<BR>5. Data: An Anchor for Decision Making to Build the Future Workforce Management System. <BR>Samiksha Shukla, Aerica Rishiraj, Yash Lucas<BR>6. Data Mining Processes and Decision-Making Models in Personnel Management System. <BR>Shashi Kant Gupta, Alex Khang, Parin Somani, Chandra Kumar Dixit, Anchal Pathak<BR>7. Data-driven Application of Human Capital Management Databases, Big Data, and Data Mining. <BR>Alex Khang, Shashi Kant Gupta, Chandra Kumar Dixit, Parin Somani<BR>8. ata-centric Predictive Modelling of Turnover Rate and New Hire in Workforce Management System. <BR>Chandra Kumar Dixit, Parin Somani, Shashi Kant Gupta, Anchal Pathak<BR>9. Impact of Artificial Intelligence (AI) on Talent Management (TM): A Futuristic Overview. <BR>Arpita Nayak, Ipseeta Satpathy, B.C.M. Patnaik, Sukanta Kumar Baral, Alex Khang<BR>10. Data-driven Artificial intelligence (AI) Models in the Workforce Development Planning. <BR>Pallavi Jain, Vandana Tripathi, Ravisankar Malladi, Alex Khang<BR>11. Prediction of Employee's Performance Using Machine Learning (ML) Techniques. <BR>Anchal Pathak, Chandra Kumar Dixit, Parin Somani, Shashi Kant Gupta<BR>12. AI-enabled Approaches and Models for Designing Workforce through Training Systems for Physically Challenged People. <BR>Babasaheb Jadhav, Ashish Kulkarni, Pooja Kulkarni<BR>13. Relevance Analytics of Work Motivation and Job Satisfaction in the era of Industry 4.0. <BR>Mohammad Qais Rezvani, Hayri Uygun, Rashmi Gujrati, Shivangi Singh, Nirmala Chaudhary<BR>14. A Bibliometric Analysis on Application of Artificial Intelligence (AI) in Workforce Management. <BR>Durga Prasad Singh Samanta, B.C.M. Patnaik, Ipseeta Satpathy, Liji Panda<BR>15. Leveraging Employee Data to Optimize Overall Performance
- Using Workforce Analytics. <BR>Saravanakrishnan V, Ginu George, Anson K. Joy, Anusha B<BR>16. Robotic Process Automation (RPA) Applications and Tools for Workforce Management System. <BR>Sathya V, Jayashree K, Malathi S<BR>17. Exploring the Concept of Managing Women Employees Work Life Balance in Information Technology Company. <BR>Jansi Rani T, Krishan Priya V<BR>18. Challenges Faced by Marketers in Developing and Managing Contents in Workforce Development System. <BR>Ashwini Y. Sonawane, Alex Khang<BR>19. Linkages between Critical Success Factors and Factors of Workforce Performance in Remanufacturing Industry. <BR>Lalit K. Toke, Amol D. Lokhande, Vishal S. Fegade<BR>20. A Study on the Impact of the Industry 4.0 on the Employees Performance in Banking Sector. <BR>Pooja Aggarwal, Alex Khang<BR>
