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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42717
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Talent acquisition is a critical component of human resource management, particularly in the manufacturing industry, which relies on a workforce possessing a blend of technical expertise, experience, and adaptability. This study provides an in-depth analysis of the talent acquisition process, highlighting key recruitment strategies, technological advancements, and best practices to address challenges in hiring skilled employees for the manufacturing sector. The manufacturing industry faces unique workforce challenges, including skill shortages, an aging workforce, and evolving technological requirements. Effective talent acquisition strategies help organizations build a skilled and sustainable workforce to maintain operational efficiency and innovation. This study explores various sourcing methods, such as job portals, employee referrals, and partnerships with educational institutions. It also examines the impact of technology, including artificial intelligence, applicant tracking systems, and virtual reality, in optimizing recruitment processes. Additionally, this research underscores the importance of employer branding, diversity, continuous learning programs, and competitive compensation in attracting and retaining employees. By integrating strategic hiring practices with technological solutions, manufacturing firms can enhance workforce stability and meet industry demands. This study aims to provide insights and recommendations to improve talent acquisition strategies and ensure long-term success in the manufacturing sector.
KEYWORDS
Publication Date
3/20/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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