AI for green HRM: Promoting eco-conscious workplace practices and carbon footprint reduction
Abstract
The growing climate emergency calls for a change in organizational behaviour, with Human Resource Management (HRM) at the centre of driving environmental sustainability. Green HRM seeks to incorporate environmental management within conventional HRM roles to encourage eco-friendly practices and minimize organizations' footprints on the environment. This paper discusses the potential for revolutionizing Green HRM through Artificial Intelligence (AI). We examine how AI-based tools can support different Green HRM activities such as sustainable recruitment, environmentally friendly employee education and motivation, resource usage optimization (energy, water, waste), encouraging sustainable transportation, and precise carbon footprint tracking and reporting. By applying AI's strengths in data analytics, pattern detection, automation, and predictive modelling, organizations can significantly increase the effectiveness of their Green HRM practices, resulting in more effective eco-friendly workplace practices and drastic carbon footprint reductions. The paper also discusses potential pitfalls, ethical concerns, and directions for future development in AI usage in Green HRM.
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