A Literature Study on Retention Strategies in Corporates Using Artificial Intelligence (AI)

https://doi.org/10.5281/zenodo.20465373

Abstract

In today’s data-driven and digitally transforming corporate environment, employee retention is a strategic imperative for sustainable growth. As organizations face increasing attrition, Artificial Intelligence (AI) offers revolutionary tools for understanding, predicting, and addressing workforce dynamics. This study conducts a comprehensive literature review on the integration of AI in corporate retention strategies. It explores how AI-powered tools—such as predictive analytics, machine learning, chatbots, and sentiment analysis—enable organizations to anticipate employee disengagement, enhance job satisfaction, and reduce voluntary turnover. The research highlights key applications, benefits, limitations, and ethical considerations of AI use in HR. Findings from various scholarly sources and industry reports demonstrate that AI-driven approaches significantly improve retention outcomes by personalizing employee engagement, reducing costs, and strengthening organizational performance. However, these benefits can only be realized through ethical deployment, transparent governance, and strategic alignment with broader HR goals. This paper concludes that a well-grounded understanding of literature enables HR professionals to design informed, proactive, and ethically responsible retention strategies using AI.

Keywords: Employee Retention, Artificial Intelligence, Predictive Analytics, HR Technology, Attrition, Ethical AI, Personalization