Application of artificial intelligence for recruitment in manufacturing industries

Author:

Umachandran Krishnan

Abstract

The recruitment process in manufacturing industries is automated to become open and inclusive to provide equal opportunity to the job seeker and the job opening in the organization. Online recruitment is an electronic process format to hire suitable candidates using electronic devices and other social media networks through the Internet, reaching a massive population of job seekers and hire the best available talent at a cost-effective mode compared to the conventional recruitment process.  The changes in the recruitment landscape are exciting, with the need to transition for a sustainable economy, handling geopolitical volatility and environmental impact are organizational drivers of change for automation in the recruitment process. Advancements in artificial intelligence, machine learning, and natural user interfaces make it possible to automate knowledge-based tasks of human orientations. To help manufacturing organisations meet these challenges and recruit the best talent, artificial intelligence strategizes are used to develop a cognate recruitment process taking account of candidate's perspective and reaches specified candidates with auto-generated messages, and bonds the best-fit candidates for the organization, delivering quality, quantity and quick to fulfill the organizational requirement of manpower. This paper covers all recent and relevant literature reviews in human resource recruitment and the application of artificial intelligence to reduce the time and effort of the experts in handling the right manpower requirement.

Publisher

Jozac Publishers

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial intelligence recruitment text automatic generation based on light detection and improved neural network algorithm;Optical and Quantum Electronics;2023-12-14

2. Enhancing diversity and reducing bias in recruitment through AI: a review of strategies and challenges;Информатика. Экономика. Управление - Informatics. Economics. Management;2023-10-18

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