Exploring human resource management intelligence practices using machine learning models |
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| Institution: | 1. Department of CSE(Networks), Kakatiya Institute of Technology and Science, Warangal, Telangana, India;2. Amity Institute of Information Technology, Amity University, Patna, India;1. Department of Basic Sciences and Humanities, GMR Institute of Technology, Rajam, Vizianagaram (Dist), Andhra Pradesh, India;2. Department of Humanities and Social Sciences, IIT Kharagpur, Khargagpur, India;3. Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, Tamilnadu, India;4. Department of ECE, Centurion University of Technology and Management, R. Sitapur, Paralakemund, Odisha, India;5. School of Electronics Engineering, VIT-AP University, Amaravathi, Andhra Pradesh, India;6. Department of CSE, Gokaraju Rangaraju Institute of Engineering & Technology, Bachupally, Hyderabad, Telangana, India;1. School of Business, Woxsen University, Hyderabad, Telangana, India;2. Rajagiri Business School, Kochi, India;1. Department of Computer Science, College of Science and Humanities, SRM Institute of Science And Technology, Ramapuram, Chennai, Tamil Nadu, India;2. Department of Computer Applicatiobs, College of Science and Humanities, SRM Institute of Science And Technology, Ramapuram, Chennai, Tamil Nadu, India;1. Department of ECE, Vardhaman College of Engineering, Hyderabad, India;2. Department of Mechanical Engineering, New Horizon College of Engineering, Bangalore, India;3. Department of CSE, School of Computing, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College), Tirupathi, AP, India;4. Lecturer Computer Science, Bahrain Polytechnic – Bahrain Technical College, Higher Education Council, Kingdom of Bahrain;5. Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, India;6. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India |
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| Abstract: | The use of machine learning for recruitment has become one of the main themes in human resources ever since machine learning software investigated the first recruitment software and discovered that utilizing technology improves their effectiveness at work, speed, and makes the process simpler. In order to better handle employee files, profiles, turnover, data analytics, and the creation of electronic personal data sheets for government service records, a human resource information system that incorporates machine learning has been created. Using a supervised machine learning technique, it was designed to foresee staff turnover. From a theoretical perspective, machine learning apps may be able to perform the same tasks as HR specialists, if not better or faster. Supporting HR professionals in becoming a true business partner and providing them with accurate and reliable advice, the interaction between HR professionals and line top management believes that the HR professionals still has surplus over machine learning, alone. Human resources methods and the significance of machine learning are the primary focus of this paper. This paper's three goals are to (1) determine how much of an impact Machine learning can have on the organization's recruitment procedures, (2) examine the extent to which this technology has been adopted, and (3) examine the frequency with which complaints have been lodged during these crucial exercises. |
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