TY - JOUR
T1 - Power of green capabilities and artificial intelligence (AI)
T2 - Understanding how and when green innovation promotes sustainability
AU - Rahman, Sikandar
AU - Adeel, Sheikh
AU - Ali, Murad
AU - Bajaba, Saleh
AU - Latan, Hengky
PY - 2025/10/29
Y1 - 2025/10/29
N2 - Green innovation is increasingly recognized as a critical strategy for small- and medium-sized enterprises (SMEs) to enhance sustainable performance. Drawing on the natural resource-based view (NRBV), this study examines the impact of green innovation on sustainable performance and the mediating roles of green knowledge sharing and green dynamic capabilities. In addition, the moderating effect of artificial intelligence (AI) on these relationships was investigated. Data were collected from 230 SMEs in two phases and the hypotheses were analyzed. The findings reveal that green innovation is positively related to sustainable performance, with green knowledge-sharing and green dynamic capabilities mediating this relationship. Furthermore, AI significantly moderates the relationship between green knowledge-sharing, green dynamic capabilities, and sustainable performance. These results suggest that integrating AI into SMEs can enhance the promotion and effectiveness of green innovation strategies. This study contributes to the literature by providing empirical evidence for NRBV and highlighting the importance of green knowledge sharing, green dynamic capabilities, and AI in the context of green innovation and sustainable performance. These findings offer valuable insights for SME managers and policymakers seeking to foster sustainable development through green innovation and AI adoption.
AB - Green innovation is increasingly recognized as a critical strategy for small- and medium-sized enterprises (SMEs) to enhance sustainable performance. Drawing on the natural resource-based view (NRBV), this study examines the impact of green innovation on sustainable performance and the mediating roles of green knowledge sharing and green dynamic capabilities. In addition, the moderating effect of artificial intelligence (AI) on these relationships was investigated. Data were collected from 230 SMEs in two phases and the hypotheses were analyzed. The findings reveal that green innovation is positively related to sustainable performance, with green knowledge-sharing and green dynamic capabilities mediating this relationship. Furthermore, AI significantly moderates the relationship between green knowledge-sharing, green dynamic capabilities, and sustainable performance. These results suggest that integrating AI into SMEs can enhance the promotion and effectiveness of green innovation strategies. This study contributes to the literature by providing empirical evidence for NRBV and highlighting the importance of green knowledge sharing, green dynamic capabilities, and AI in the context of green innovation and sustainable performance. These findings offer valuable insights for SME managers and policymakers seeking to foster sustainable development through green innovation and AI adoption.
KW - AI
KW - green dynamic capabilities
KW - green innovation
KW - green knowledge sharing
KW - sustainable performance
UR - https://www.scopus.com/pages/publications/105020033589
U2 - 10.1002/bse.70252
DO - 10.1002/bse.70252
M3 - Article
SN - 0964-4733
JO - Business Strategy and the Environment
JF - Business Strategy and the Environment
ER -