AI-Driven HR Analytics for Sustainable Workforce Planning

Abstract

The rise of artificial intelligence (AI) in the Human Resource Management has allowed organisations to apply cutting-edge analytics in making strategic decisions regarding the workforce. At the same time sustainable workforce planning has acquired significance as firms are pursuing talent continuity, workforce agility and retention in the long term. The current study was based on the topic of the association between AI-based HR analytics capability and sustainable workforce planning through the descriptive and correlational design approach. The cross-sectional survey of HR managers and professionals was used to gather data and analyse them with the help of descriptive statistics and Pearson correlation test. The results showed that AI-based HR analytics capability was positively and significantly related to sustainable workforce planning, and the corresponding aspect like workforce agility and talent retention effectiveness. Based on the findings, AI-based HR analytics can potentially serve as a key facilitator of sustainability-driven workforce planning. Although no causal conclusions are possible, the study offers a starting point of empirical consideration of the strategic value of AI-assisted HR analytics in sustainable labour force overtime and gives new directions of explanatory study.