AI-Driven HR Optimization Strategies in Finance and Marketing: Methodological Framework and Applications

The proposed systems that include AI and the IoT present innovative financial and marketing opportunities. AI analytics capabilities and networked devices with the capability to provide real-time data mean the possibility to significantly improve recruitment, employee engagement, performance management, and retention. It combines natural language processing and machine learning algorithms, offering personalized recommendations, and in the vision insights, and in the case of environmental sensors, smart devices, and wearable health monitors, it facilitates accumulation of significant data. This framework will integrate IoT with AI to enhance HR procedures: more engaging, efficient, and enjoyable work environment. Apart from better decision-making and automated occupations, it also advocates for a data-driven approach to HRM. Further, it can result in the formation of intelligent and responsive HR systems that have the potential of improving organizational effectiveness and work productivity.

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Published
2024-12-12
DOI
https://doi.org/10.1109/icses63760.2024.10910901
Citations
1
Primary Topic
AI and HR Technologies
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article
Field-Weighted Citation Impact
0.67
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article

AI-Driven HR Optimization Strategies in Finance and Marketing: Methodological Framework and Applications

V. Krishnamoorthy, R. S. Lekshmi, R. Selvameena, S. Kaliappan et al.
1 citations
AI and HR Technologies
0.67
article

AI-Driven HR Optimization Strategies in Finance and Marketing: Methodological Framework and Applications

V. Krishnamoorthy, R. S. Lekshmi, R. Selvameena, S. Kaliappan, G Arasuraja, V. Sheela Mary
article en
1 citations

Abstract

The proposed systems that include AI and the IoT present innovative financial and marketing opportunities. AI analytics capabilities and networked devices with the capability to provide real-time data mean the possibility to significantly improve recruitment, employee engagement, performance management, and retention. It combines natural language processing and machine learning algorithms, offering personalized recommendations, and in the vision insights, and in the case of environmental sensors, smart devices, and wearable health monitors, it facilitates accumulation of significant data. This framework will integrate IoT with AI to enhance HR procedures: more engaging, efficient, and enjoyable work environment. Apart from better decision-making and automated occupations, it also advocates for a data-driven approach to HRM. Further, it can result in the formation of intelligent and responsive HR systems that have the potential of improving organizational effectiveness and work productivity.

Lovely Professional University (IN), Vinayaka Missions University (IN), Dr. M.G.R. Educational and Research Institute (IN), St. Joseph's Institute of Technology (IN)
Decent work and economic growth
Openalex Percentile: Top 19%
AI and HR Technologies
0.67
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AI-Driven HR Optimization Strategies in Finance and Marketing: Methodological Framework and Applications — V. Krishnamoorthy, R. S. Lekshmi, et al. · (2024) | TGRS Research Map | TGRS