Large Model-Driven Technology Transfer: Value Conduction, Policy Optimization and Empirical Exploration

Abstract

Addressing the challenges in the commercialization of traditional scientific and technological achievements, this study explores the empowerment mechanisms and value conduction pathways of large model technologies, and proposes policy optimization directions through empirical validation. First, a three-dimensional empowerment framework of “technology-subject-ecosystem” is constructed to elucidate how large models address traditional challenges through four key value conduction pathways. Subsequent empirical analysis using data from 2021–2023 demonstrates a positive correlation between large model adoption levels and technology transfer success rates, with particularly pronounced effects observed in high-tech enterprises, and R&D investment intensity playing a significant moderating role. Finally, based on the analytical framework and case studies, policy recommendations are formulated across four dimensions, providing actionable insights for overcoming technology transfer challenges.