Uncovering key themes in sustainable HRM: a data-driven analysis using topic modelling / Kardina Kamaruddin and Noor Malinjasari Ali

This study explores the landscape of Sustainable Human Resource Management (HRM) by employing topic modelling to analyze 902 articles from the Scopus database. Sustainable HRM, which integrates sustainability principles into HR practices, has emerged as a critical strategy for achieving long-term economic, social, and environmental goals. Using Natural Language Processing (NLP) techniques, the analysis identified five core themes within Sustainable HRM research: economic and environmental sustainability, performance factors, supply chain and innovation, social responsibility, and green HRM practices. These themes highlight Sustainable HRM’s potential to enhance organizational resilience, employee engagement, and corporate social responsibility. By categorizing Sustainable HRM literature, this study provides insights into the thematic diversity of sustainable HRM and its relevance in contemporary organizational contexts. The findings offer implications for both scholars and practitioners, underscoring the role of HRM in supporting sustainability objectives and guiding future research towards a comprehensive understanding of Sustainable HRM practices and their impact on organizational outcomes.