Designing workforce management systems for industry 4.0 : data-centric and AI-enabled approaches /: data-centric and AI-enabled approaches. (2023)

• Record Type: Book
• Further Information: Note: Edited by Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, Shashi Kant Gupta.
• Editors: Khang, Alex; Rani, Sita; Gujrati, Rashmi; Uygun, Hayri; Gupta, Shashi Kant
• Contents: 1. Workforce Management System: Concepts, Definitions, Principles, and Implementation. Snehal Maheshkar, Babasaheb Jadhav, Alex Khang; 2. Industry Revolution 4.0: Workforce Competency Models and Designs. Alex Khang, Babasaheb Jadhav, Sphurti Birajdar; 3. AI Powered Workforce Management in Industry 4.0 Era. Lokpriya Gaikwad, Alex Khang; 4. AI-based Competency Model and Design in the Workforce Development System. Parin Somani, Shashi Kant Gupta, Chandra Kumar Dixit, Anchal Pathak; 5. Data: An Anchor for Decision Making to Build the Future Workforce Management System. Samiksha Shukla, Aerica Rishiraj, Yash Lucas; 6. Data Mining Processes and Decision-Making Models in Personnel Management System. Shashi Kant Gupta, Alex Khang, Parin Somani, Chandra Kumar Dixit, Anchal Pathak; 7. Data-driven Application of Human Capital Management Databases, Big Data, and Data Mining. Alex Khang, Shashi Kant Gupta, Chandra Kumar Dixit, Parin Somani; 8. ata-centric Predictive Modelling of Turnover Rate and New Hire in Workforce Management System. Chandra Kumar Dixit, Parin Somani, Shashi Kant Gupta, Anchal Pathak; 9. Impact of Artificial Intelligence (AI) on Talent Management (TM): A Futuristic Overview. Arpita Nayak, Ipseeta Satpathy, B.C.M. Patnaik, Sukanta Kumar Baral, Alex Khang; 10. Data-driven Artificial intelligence (AI) Models in the Workforce Development Planning. Pallavi Jain, Vandana Tripathi, Ravisankar Malladi, Alex Khang; 11. Prediction of Employee’s Performance Using Machine Learning (ML) Techniques. Anchal Pathak, Chandra Kumar Dixit, Parin Somani, Shashi Kant Gupta; 12. AI-enabled Approaches and Models for Designing Workforce through Training Systems for Physically Challenged People. Babasaheb Jadhav, Ashish Kulkarni, Pooja Kulkarni; 13. Relevance Analytics of Work Motivation and Job Satisfaction in the era of Industry 4.0. Mohammad Qais Rezvani, Hayri Uygun, Rashmi Gujrati, Shivangi Singh, Nirmala Chaudhary; 14. A Bibliometric Analysis on Application of Artificial Intelligence (AI) in Workforce Management. Durga Prasad Singh Samanta, B.C.M. Patnaik, Ipseeta Satpathy, Liji Panda; 15. Leveraging Employee Data to Optimize Overall Performance - Using Workforce Analytics. Saravanakrishnan V, Ginu George, Anson K. Joy, Anusha B; 16. Robotic Process Automation (RPA) Applications and Tools for Workforce Management System. Sathya V, Jayashree K, Malathi S; 17. Exploring the Concept of Managing Women Employees Work Life Balance in Information Technology Company. Jansi Rani T, Krishan Priya V; 18. Challenges Faced by Marketers in Developing and Managing Contents in Workforce Development System. Ashwini Y. Sonawane, Alex Khang; 19. Linkages between Critical Success Factors and Factors of Workforce Performance in Remanufacturing Industry. Lalit K. Toke, Amol D. Lokhande, Vishal S. Fegade; 20. A Study on the Impact of the Industry 4.0 on the Employees Performance in Banking Sector. Pooja Aggarwal, Alex Khang;
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2023
• Extent: 1 online resource (376 pages), illustrations (black and white)
• Subjects: 352.6; Personnel management -- Technological innovations; Artificial intelligence; Management -- Data processing
• Languages: English
• ISBNs: 9781000923360
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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