Decision-Making Techniques and Methods for Sustainable Technological Innovation

15Revolutionizing Recruitment in Industry 5.0: An Efficient AI and Machine Learning–Based Applicant Tracking System

Shola Usharani*, Gayathri Rajakumaran, Priyadarshini Jayaraju and Anuttam Anand

Vellore Institute of Technology, School of Computer Science and Engineering, Chennai, India

Abstract

The utilization of technology within the recruitment sector has experienced a notable surge in recent times, resulting in substantial modifications to the methods by which entities entice, screen, and integrate personnel. The proposed work presents a comprehensive analysis of various technological tools employed in the recruitment process, such as applicant tracking systems, artificial intelligence, and video interviews. This also investigates the advantages of technology in the recruitment process, such as enhanced productivity and decreased partiality, as well as the obstacles linked to its implementation, such as the likelihood of partiality and legal and ethical concerns. It also examines nascent patterns and advancements in recruitment technology and provides suggestions for prospective investigations. This article underscores the capacity of technology to revolutionize the recruitment sector and provides perspectives on how enterprises can effectively manage the possibilities and obstacles that arise from technological advancements in recruitment. The outcome of proposed study indicates that technology possesses the capability to enhance the efficacy, impartiality, and potency ...