AI-driven employee engagement

Abstract

The research explores how Artificial Intelligence (AI) can be used to transform Green Human Resource Management (GHRM) practices to increase employee engagement and create sustainable business outcomes. With the adoption of AI-powered tools in HR functions, organizations can implement strategies for higher employee engagement, customize HR practices, and make sure their workforce behaves towards the attainment of the green goals desired by them. The study demonstrates how AI can help improve operational efficiency and create a sustainable culture. The results illustrate that there is a positive relationship between AI adoption and employee engagement, showing that technology can be a viable asset to an organization's sustainability initiatives. However, ethical issues, including data privacy concerns, the risk of algorithmic bias, and obstacles that come from organizational employee resistance to technological change are discussed as well. Problems indicated why necessary to create a comprehensive ethical framework to comprehensively manage the utilization of AI in HRM. The paper extends the current literature by exploring how AI will reshape GHRM and suggests future research directions such as developing AI-driven sustainability metrics and establishing ethical guidelines for AI usage. Above all, the study concludes that, if ethical concerns are addressed, AI can have a very big impact on GHRM practices driving both business success and environmental stewardship.