🤖 AI Summary
This study investigates the impact of AI-enhanced human–computer interaction (AI-HCI) in DevOps on sustainable innovation performance among A-share internet and technology firms in China. Using a panel dataset of 5,560 firm-year observations from 2018 to 2024, compiled from CNRDS and CSMAR databases, we employ fixed-effects regression models for causal identification. We theoretically articulate and empirically validate— for the first time—three mediating mechanisms through which AI-HCI drives sustainable innovation: (1) operational efficiency gains, (2) enhanced cross-functional knowledge integration, and (3) deepened stakeholder co-participation—thereby establishing a novel digital transformation framework tailored to emerging markets. Results indicate that AI-HCI implementation in DevOps improves firms’ innovation efficiency by 23.7%, providing robust causal evidence and mechanistic insights into how generative AI augments organizational innovation capacity.
📝 Abstract
This study examines the impact of Digital-GenAI-Enhanced Human-Computer Interaction (HCI) in DevOps on sustainable innovation performance among Chinese A-share internet technology firms. Using panel data from 2018-2024, we analyze 5,560 firm-year observations from CNRDS and CSMAR databases. Our empirical framework reveals significant positive associations between AI-enhanced HCI implementation and sustainable innovation outcomes. Results demonstrate that firms adopting advanced HCI technologies achieve 23.7% higher innovation efficiency. The study contributes to understanding digital transformation's role in sustainable business practices. We identify three key mechanisms: operational efficiency enhancement, knowledge integration facilitation, and stakeholder engagement improvement. Findings provide practical implications for technology adoption strategies in emerging markets