
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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From Data to Insights: Using AI Tool to Improve Employee Involvement and Employee Tenure-Rane Madras
Author(s) | Tamizhselvan V, Pougajendy. S |
---|---|
Country | India |
Abstract | Employee involvement and retention are crucial to organizational success. This study examines how Artificial Intelligence (AI) tools can be leveraged to address challenges like attrition, skill gaps, and burnout. Focusing on Rane Madras as a case study, the research evaluates AI-driven analytics in enhancing employee satisfaction and tenure. Key findings indicate AI’s potential in predictive modelling, real-time feedback, and personalized employee development strategies. These insights can transform traditional HR practices into dynamic, data-driven approaches. |
Keywords | Artificial Intelligence, Employee Retention, Engagement, Predictive Analytics, Workforce Development |
Field | Business Administration |
Published In | Volume 6, Issue 6, November-December 2024 |
Published On | 2024-12-27 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i06.33512 |
Short DOI | https://doi.org/g82gjx |
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E-ISSN 2582-2160

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IJFMR DOI prefix is
10.36948/ijfmr
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