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| 005 | | 20240520142610 |
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| 008 | | 230125s2024 onc ob 001 0 eng |
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▼a 9781003328346
▼q (ebook) |
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▼a 1003328342 |
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▼a 9781000730081
▼q (electronic bk. : EPUB) |
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▼a 1000730085
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▼a 9781000729603
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▼a 1000729605
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▼z 9781774911686
▼q (hbk) |
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▼z 9781774911693
▼q (pbk) |
| 024 | 7 |
▼a 10.1201/9781003328346
▼2 doi |
| 035 | |
▼a 3619659
▼b (N$T) |
| 035 | |
▼a (OCoLC)1365379318
▼z (OCoLC)1397020358 |
| 037 | |
▼a 9781003328346
▼b Taylor & Francis |
| 040 | |
▼a NLC
▼b eng
▼c NLC
▼d NLC
▼d DLC
▼d OCLCF
▼d TYFRS
▼d YDX
▼d N$T
▼d 224010
▼e rda |
| 042 | |
▼a lac |
| 050 | 00 |
▼a HF5549 |
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▼a HF5549.5.D37
▼b A78 2023 |
| 072 | 7 |
▼a BUS
▼x 030000
▼2 bisacsh |
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▼a COM
▼x 005030
▼2 bisacsh |
| 072 | 7 |
▼a COM
▼x 004000
▼2 bisacsh |
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▼a KJMV2
▼2 bicssc |
| 082 | 0 |
▼a 658.300285
▼2 22 |
| 090 | |
▼a 658.300285 |
| 245 | 00 |
▼a Artificial intelligence techniques in human resource management
▼h [electronic resource] /
▼c edited by Soumi Ghosh, Soumi Majumder, Santosh Kumar Das. |
| 250 | |
▼a First edition. |
| 260 | |
▼a Palm Bay, FL, USA ;
▼a Burlington, ON, Canada :
▼a Boca Raton, FL, USA ;
▼a Abingdon, Oxon, UK:
▼b Apple Academic Press ;:
▼b CRC Press,
▼c 2024. |
| 263 | |
▼a 202302 |
| 300 | |
▼a 1 online resource. |
| 490 | 0 |
▼a 21st century business management |
| 504 | |
▼a Includes bibliographical references and index. |
| 505 | 0 |
▼a A Brief Introduction to Human Resource Management / Soumi Majumder, Soumi Ghosh, and Zdzislaw Polkowski -- An Empirical Study on Adoption of Artificial Intelligence in Human Resource Management / Soumi Ghosh, Soumi Majumder, and Sheng-Lung Peng -- The Confluence of Smart Computing and Traditional Businesses to Foster Productivity, Profitability, and Prosperity / Sumit Gupta and Sourav Biswas -- Application of Artificial Intelligence in the Recruitment Process of HRM / Ramesh Chandra Goswam, Hiren Joshi, and Sunil Gautam -- Applications of the Internet of Robotic Things in Industry 4.0 based on Several Aspects / Garima Jain, Ankush Jain, and Divya Mishra -- Fabric Defect Detection and Fault Identification of a Fabric Video for the Purpose of ERP in Industry 4.0: An Image Processing Techniques / Manali Sarkar and Sraddha Roy Choudhury -- An RF-Based Social Distance Smart Band System in Organization / Ranjit Kumar Behera, Mohit Misra, and Amrut Patro -- Manpower Optimization System in College: A Linear Programming Approach / Santosh Kumar Das, Bikram Mahapatra, D. Hema Kumar, Manoj Kumar Mandal, and Joydev Ghosh -- Homogenization in Technique of Artificial Intelligence in Human Resource Management / Kaushal Singh, Mrudul Bhatt, and Sunil Gautam -- Conflicting Strategy Management Technique for Companies: An Intelligent Optimization Technique / Santosh Kumar Das, Kimmi Kumari, Sagarika Daripa, Amit Kumar Singh, and Aditya Sharma. |
| 520 | |
▼a "This new volume presents a range of techniques aimed to enhance the operation of human resource management by applying state-of-the-art artificial intelligence technology. With illustrative case studies, the volume uses as examples from several types of problems and includes their possible solutions using advanced AI technology. The volume 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 (ERP) management software, for manpower optimization systems in colleges, for creating uniformity in HRM across organizations, for creating conflicting strategy management techniques, and more. One pandemic-related chapter discusses the use of radio frequency (RF) based technology for monitoring social distance. Artificial Intelligence Techniques in Human Resource Management will help HRM professionals keep abreast of today's smart technological solutions and will provide valuable information for academicians and researchers on the diverse application of AI in business and management."--
▼c Provided by publisher. |
| 545 | 0 |
▼a 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. |
| 650 | 0 |
▼a Personnel management
▼x Data processing. |
| 650 | 0 |
▼a Artificial intelligence. |
| 650 | 7 |
▼a BUSINESS & ECONOMICS / Human Resources & Personnel Management
▼2 bisacsh |
| 650 | 7 |
▼a COMPUTERS / Artificial Intelligence
▼2 bisacsh |
| 650 | 7 |
▼a Artificial intelligence.
▼2 fast
▼0 (OCoLC)fst00817247 |
| 650 | 7 |
▼a Personnel management
▼x Data processing.
▼2 fast
▼0 (OCoLC)fst01058809 |
| 700 | 1 |
▼a Ghosh, Soumi,
▼e editor. |
| 700 | 1 |
▼a Majumder, Soumi,
▼e editor. |
| 700 | 1 |
▼a Das, Santosh Kumar
▼c (Professor of computer science),
▼e editor. |
| 856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3619659 |