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This research aims to investigate the impact of artificial intelligence (AI) adoption on the innovation dynamics of Chinese manufacturing enterprises, with a specific focus on the intricate interplay with the labor structure.

Leveraging panel data of listed companies from 2010 to 2022, this study employs the two-way fixed effects (TWFE) model to examine the influence of AI adoption on Chinese manufacturing companies' innovativeness. Firm-level AI adoption is measured by constructing a three-dimensional attention, application and absorption index.

The results indicate that (1) AI adoption has a positive impact on both internal innovation capability and external innovation interaction, (2) AI adoption has dual effects on the education and skill structure of labor in manufacturing enterprises and (3) enterprises with a highly educated and skilled workforce exhibit a stronger influence of AI adoption on innovativeness.

This research contributes to the academic and practical discourse by unveiling the underlying mechanisms of AI affecting innovation and introducing a new measurement of the AI adoption index. The findings emphasize the need for a highly educated and skilled workforce to navigate the complexities of AI-driven innovation, offering valuable theoretical and practical implications for policymakers and enterprises.

Environmental concerns and the urgent issues of climate change have shifted the organization’s focus toward achieving sustainability. Therefore, this study aims to evaluate the complex relationships among green human resource management (GHRM), green innovation (GI), green human capital (GHC) and sustainable performance (SP).

To investigate the relationships, the study employed partial least square structural equation modeling to run an analysis on 384 managers working in the hotel sector in Egypt, selected through a simple random sampling technique.

The results demonstrate that GHRM positively influences both GI and GHC. Additionally, GI and GHC have a positive impact on SP. Furthermore, GHRM directly contributes to SP, with GI and GHC acting as significant mediators in the relationship between GHRM and SP.

This study advances theoretical understanding and offers practical insights by employing the resource-based view theory and the ability-motivation-opportunity theory.

This research introduces and empirically tests a novel conceptual framework that comprehensively assesses the impacts of GHRM, GI and GHC on SP.