Neural Networks in Workforce Planning and Management

The primary objective of this study is to examine the utilization of neural networks in workforce planning and management, with an emphasis on their capacity to enhance labor allocation, anticipate personnel requirements, and enhance overall organizational efficiency. Neural networks, a type of artificial intelligence, are extremely appropriate for managing the complexities of human management because of their robust capabilities in data processing and pattern detection. By examining historical data and current trends, these algorithms can identify areas where skills are lacking, forecast the need for workers, and suggest the optimal employment levels. By incorporating neural networks into workforce planning, we can achieve a workforce that is more adaptable and efficient, as well as improve employee satisfaction, reduce costs, and improve the precision of our decision-making.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icses63760.2024.10910655
Citations
1
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.67
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Neural Networks in Workforce Planning and Management

Prakash Shetty, Joshuva Arockia Dhanraj, Melanie Lourens, Deeksha Joshi et al.
1 citations
AI and HR Technologies
0.67
article

Neural Networks in Workforce Planning and Management

Prakash Shetty, Joshuva Arockia Dhanraj, Melanie Lourens, Deeksha Joshi, Ch. Sharonu Pushpa, Gazala Amanullah Khan
article en
1 citations

Abstract

The primary objective of this study is to examine the utilization of neural networks in workforce planning and management, with an emphasis on their capacity to enhance labor allocation, anticipate personnel requirements, and enhance overall organizational efficiency. Neural networks, a type of artificial intelligence, are extremely appropriate for managing the complexities of human management because of their robust capabilities in data processing and pattern detection. By examining historical data and current trends, these algorithms can identify areas where skills are lacking, forecast the need for workers, and suggest the optimal employment levels. By incorporating neural networks into workforce planning, we can achieve a workforce that is more adaptable and efficient, as well as improve employee satisfaction, reduce costs, and improve the precision of our decision-making.

Lovely Professional University (IN), Durban University of Technology (ZA), Management Sciences (United States) (US), Graphic Era University (IN)
Decent work and economic growth
Openalex Percentile: Top 19%
AI and HR Technologies
0.67
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Neural Networks in Workforce Planning and Management — Prakash Shetty, Joshuva Arockia Dhanraj, et al. · (2024) | TGRS Research Map | TGRS