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Driving Sustainable Performance Through Green Business Strategy, Artificial Intelligence Capability, and Green Supply Chain Management: The Mediating Roles of Knowledge Integration and Green Innovation

Xiaoxiao Liu et al.

Corporate Social Responsibility and Environmental Management2026https://doi.org/10.1002/csr.70397article
AJG 1ABDC C
Weight
0.41

What the paper says

ABSTRACT This research paper explores the importance of green business strategy (GBS), artificial intelligence capability (AIC), and green supply chain management (GSCM) in promoting sustainable performance (SP) in Chinese manufacturing companies. The study further examines the mediating roles of knowledge integration capability and green innovation (GI), and the moderating role of environmental dynamism (ED). It used the theoretical framework based on the Knowledge‐Based View (KBV), the Natural Resource‐Based View (NRBV), and the Dynamic Capabilities Theory (DCT) to develop a conceptual model empirically tested against survey data of 387 managers and executives working in various manufacturing fields. To examine the measurement model, partial least squares structural equation modeling (PLS‐SEM) along with direct, indirect, and moderating relationship analyses was used. The empirical findings indicate that GBS, AIC, and GSCM have a positive impact on SP, either directly or indirectly through knowledge integration and GI. The serial mediation relationship was supported, and the results showed that knowledge integration produces firm innovation, and the latter stimulates sustainability performance. Moreover, the ED moderating the relationship between performance and GI was reinforced, indicating that the benefits of GI are more advantageous to SP in unstable environments. The results highlight the importance of environmental goals, managerial integration into strategic management systems, the creation of AI‐related potentials, and green supply chain practice adoption to reach set sustainability targets. GI should also be the priority of those corporations which are in volatile environments because empirical evidence shows that in turbulent conditions, the performance implications of GI are magnified. The current research contributes significantly as it suggests a moderated mediation model through which strategic, technological, and supply‐chain approaches can be combined, thus contributing to the theoretical knowledge and providing the managerial implications relevant to sustainability management in emergent economies.

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https://doi.org/https://doi.org/10.1002/csr.70397

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@article{xiaoxiao2026,
  title        = {{Driving Sustainable Performance Through Green Business Strategy, Artificial Intelligence Capability, and Green Supply Chain Management: The Mediating Roles of Knowledge Integration and Green Innovation}},
  author       = {Xiaoxiao Liu et al.},
  journal      = {Corporate Social Responsibility and Environmental Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1002/csr.70397},
}

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.