1st Edition
Artificial Intelligence Techniques in Human Resource 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.
1. A Brief Introduction to Human Resource Management
Soumi Majumder, Soumi Ghosh, and Zdzislaw Polkowski
PART I: Empirical Analysis and Modelling
2. An Empirical Study on Adoption of Artificial Intelligence in Human Resource Management
Soumi Ghosh, Soumi Majumder, and Sheng-Lung Peng
3. The Confluence of Smart Computing and Traditional Businesses to Foster Productivity, Profitability and Prosperity
Sumit Gupta and Sourav Biswas
4. Application of Artificial Intelligence in Recruitment Process of HRM
Ramesh Chandra Goswam, Hiren Joshi, and Sunil Gautam
PART II: Industry and Organization Modeling
5. Applications of Internet of Robotic Things in Industry 4.0 Based on Several Aspects
Garima Jain, Ankush Jain, and Divya Mishra
6. Fabric Defect Detection and Fault Identification of a Fabric Video for Purpose of ERP in Industry 4.0: An Image Processing Techniques
Manali Sarkar and Sraddha Roy Choudhury
7. An RF-Based Social Distance Smart Band System in Organization
Ranjit Kumar Behera, Mohit Misra, and Amrut Patro
PART III: Resource Optimization and Modeling
8. Manpower Optimization System in College: A Linear Programming Approach
Santosh Kumar Das, Bikram Mahapatra, D. Hema Kumar, Manoj Kumar Mandal, and Joydev Ghosh
9. Homogenization in Technique of Artificial Intelligence in Human Resource Management
Kaushal Singh, Mrudul Bhatt, and Sunil Gautam
10. Conflicting Strategy Management Technique for Company: An intelligent Optimization Technique
Santosh Kumar Das, Kimmi Kumari, Sagarika Daripa, Amit Kumar Singh, and Aditya Sharma
Biography
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.
