Artificial Intelligence Techniques in Human Resource Management

1. Auflage 2023
ISBN: 978-1-77491-168-6
Verlag: Taylor & Francis

Buch, Englisch, 280 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 780 g

Reihe: 21st Century Business Management

This new volume presents a range of techniques that aim to enhance the operation of human resource management by applying state-of-the-art artificial intelligence technology. With illustrative case studies, the volume uses examples from several real-life problems and includes their possible solutions using advanced AI technology. The book explores the confluence of smart computing and traditional businesses to foster productivity, profitability, and prosperity and goes on to apply AI techniques in the recruitment process, with enterprise resource planning management software, for manpower optimization systems in colleges, for creating uniformity in HRM across organizations, for creating conflicting strategy management techniques, and more. One pandemicrelated chapter discusses the use of radio frequency-based technology for monitoring social distancing.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Ghosh, Soumi

Majumder, Soumi

Das, Santosh Kumar

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Personalwesen, Human Resource Management
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Technische Informatik

Inhaltsverzeichnis

1. A Brief Introduction to Human Resource Management PART I: Empirical Analysis and Modelling 2. An Empirical Study on Adoption of Artificial Intelligence in Human Resource Management 3. The Confluence of Smart Computing and Traditional Businesses to Foster Productivity, Profitability and Prosperity 4. Application of Artificial Intelligence in Recruitment Process of HRM PART II: Industry and Organization Modeling 5. Applications of Internet of Robotic Things in Industry 4.0 Based on Several Aspects 6. Fabric Defect Detection and Fault Identification of a Fabric Video for Purpose of ERP in Industry 4.0: An Image Processing Techniques 7. An RF-Based Social Distance Smart Band System in Organization PART III: Resource Optimization and Modeling 8. Manpower Optimization System in College: A Linear Programming Approach 9. Homogenization in Technique of Artificial Intelligence in Human Resource Management 10. Conflicting Strategy Management Technique for Company: An intelligent Optimization Technique

Über Autor(innen)

Soumi Ghosh, PhD, is Assistant Professor in the Information Technology Department of Maharaja Agrasen Institute of Technology, Delhi, India. She has published many research papers in Scopus/ SCI-indexed international journals and conferences. Her research areas include data mining, artificial intelligence, software engineering, data analysis, computational intelligence, machine learning, pattern recognition, and fuzzy logic.

Soumi Majumder is Associate Researcher at the Universidad Internacional de La Rioja, Logroño, La Rioja, Spain, and in the Business Administration Department at the Future Institute of Engineering and Management, Kolkata, India. She is associated with Sister Nivedita University, Kolkata, India, and Netaji Subhash Engineering College, Kolkata, India. She has published books and research papers on quality work-life, decent work-life, work-life balance, stress management, employee engagement, job satisfaction, leadership, and training and learning.

Santosh Kumar Das, PhD, is Assistant Professor in the Department of Computer Science and Engineering at Sarala Birla University, Ranchi, India. Prior to that, he was Assistant Professor at the School of Computer Science and Engineering at the National Institute of Science and Technology (Autonomous), Institute Park, Odisha, India. He has more than eight years of teaching experience and has authored and edited five books and published several research papers. His research interests focus on ad-hoc and sensor networks, artificial intelligence, soft computing, and mathematical modeling.