AI in HR: Enhancing Performance Management and Employee Development through Intelligent Technologies

The integration of Artificial Intelligence (AI) in Human Resources (HR) is revolutionizing traditional approaches to performance management and employee development. This study investigates the impact of AI-driven tools on HR functions, focusing on how AI enhances productivity, fosters employee engagement, and supports personalized growth paths. Through AI-powered platforms like Lattice, 15Five, and LinkedIn Learning, data on productivity, learning outcomes, and retention were analyzed, revealing significant improvements in key metrics. The findings demonstrate that AI enables continuous feedback, reduces bias in performance evaluations, and facilitates tailored development programs that align with both organizational goals and employee aspirations. Additionally, predictive analytics proved effective in proactively managing talent, while statistical analyses confirmed higher job satisfaction and retention rates among employees supported by AI tools. Despite the transformative benefits, ethical considerations such as data privacy and algorithmic fairness remain crucial for sustainable AI implementation. This study concludes that AI-driven HR practices, when balanced with human judgment, hold substantial promise for creating an adaptive, efficient, and employee-centered HR environment

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-26
DOI
https://doi.org/10.5281/zenodo.14451242
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

AI in HR: Enhancing Performance Management and Employee Development through Intelligent Technologies

Zenodo (CERN European Organization for Nuclear Research)
AI and HR Technologies
article

AI in HR: Enhancing Performance Management and Employee Development through Intelligent Technologies

article en

Abstract

The integration of Artificial Intelligence (AI) in Human Resources (HR) is revolutionizing traditional approaches to performance management and employee development. This study investigates the impact of AI-driven tools on HR functions, focusing on how AI enhances productivity, fosters employee engagement, and supports personalized growth paths. Through AI-powered platforms like Lattice, 15Five, and LinkedIn Learning, data on productivity, learning outcomes, and retention were analyzed, revealing significant improvements in key metrics. The findings demonstrate that AI enables continuous feedback, reduces bias in performance evaluations, and facilitates tailored development programs that align with both organizational goals and employee aspirations. Additionally, predictive analytics proved effective in proactively managing talent, while statistical analyses confirmed higher job satisfaction and retention rates among employees supported by AI tools. Despite the transformative benefits, ethical considerations such as data privacy and algorithmic fairness remain crucial for sustainable AI implementation. This study concludes that AI-driven HR practices, when balanced with human judgment, hold substantial promise for creating an adaptive, efficient, and employee-centered HR environment

Zenodo (CERN European Organization for Nuclear Research)
Linearizer Technology (United States) (US), Detection Limit (United States) (US)
Decent work and economic growth
Openalex Percentile: Top 50%
AI and HR Technologies
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