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Empowering eco-innovation: How artificial intelligence and green leadership enhance knowledge capital for sustainable
Jianhua Zhang1, Yasir Hussain1, Kashif Abbass2
1School of Management, Zhengzhou University, Zhengzhou, Henan, China.
Abstract:
The concept of sustainability has become a key strategic priority for organizations due to rising pressure to adopt environmentally friendly practices. This paper explores how green knowledge management (GKM) contributes to sustainable performance in textile manufacturing firms, using green intellectual capital (GIC) as an intermediary. It also examines how artificial intelligence (AI) and green transformational leadership (GTL) act as moderating factors. A cross-sectional study of textile companies in Pakistan was conducted and analyzed using SmartPLS 4.0 and SPSS 30.0. Findings show that GKM significantly boosts sustainability performance, with GIC covering human, structural, and relational aspects, enhancing this effect. Additionally, AI and GTL strengthen the link between GKM and GIC, highlighting the importance of leadership and technology in leveraging knowledge for sustainability. This study enriches the literature on the knowledge-based view of the firm by illustrating how GKM is transformed into eco-innovation and long-term success. Practically, it offers policymakers and managers insights on integrating knowledge, leadership, and artificial intelligence to achieve sustainable competitiveness.
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