ArticleFrontiers in psychology2025
Green talent management as a driver of public sector well-being: insights from civil servants' job satisfaction in China.
Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: Enhancing public service quality and societal well-being increasingly relies on the strategic development of human capital within the public sector. Although green talent management (GTM) has been widely applied to promote sustainability and performance in for-profit organizations, its mechanisms and effects in public administration remain insufficiently examined. This study investigates how GTM influences civil servants' job satisfaction, highlighting the roles of green organizational identity and artificial intelligence (AI). Methods: Data were collected from 347 civil servants in China's public administration sector using a structured survey. Hierarchical regression analyses were conducted to test the mediating effect of green organizational identity and the moderating effect of AI. Results: Both green hard talent management and green soft talent management significantly enhanced civil servants' job satisfaction. Green organizational identity mediated these relationships. In addition, AI moderated the effect of green hard talent management on green organizational identity. Discussion: The findings offer empirical evidence that GTM contributes to improving job satisfaction by strengthening organizational identity among public sector employees. They further suggest that AI can amplify certain GTM effects, providing deeper insight into how sustainability-oriented talent practices can support human capital development and public sector modernization.
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