["Corporate Social Responsibility and Environmental Management, EarlyView. ", "\nABSTRACT\nThis study aims to identify the key organisational and managerial predictors of decent work in family firms, in line with Sustainable Development Goal 8. Adopting a data‐driven and theory‐informed approach, this study integrates insights from Institutional Theory and Strategic Human Resource Management with machine learning techniques. The analysis draws on data from 3420 family firms across seven European Union countries. Four predictive models were estimated, and explainable artificial intelligence, specifically SHapley Additive exPlanations, was applied to enhance the interpretability of the results. The findings reveal that organisational practices related to employment stability, employee training, workforce diversity, and inclusive management practices are among the most influential predictors of decent work in family firms. This study contributes to the family business literature by providing a systematic and interpretable analysis of the organisational predictors of decent work in family firms. By integrating machine learning and XAI with Institutional Theory and Strategic Human Resource Management, the study highlights how institutional conditions and structured HRM practices jointly shape decent work outcomes, while also demonstrating the value of explainable machine learning for identifying non‐linear organisational patterns associated with employment quality.\n"]