Based on the new development pattern of Chinese technology transfer, in-depth investigation into the evolution and endogenous mechanisms of inter-provincial high-quality technology transfer networks is a key link in transforming high-quality technology into new quality productive forces. This paper analyzed the structural characteristics and endogenous mechanisms of the inter-provincial high-quality technology transfer network by using high-value patents to represent high-quality technology. The research findings are as follows: (1) Between 2001 and 2021, the high-quality technology transfer relationships gradually matured. The network as a whole exhibited typical "small-world" characteristic. Furthermore, with the shift of the network's core position towards the eastern region, the features of "regional agglomeration" and "polarization" became increasingly prominent, leading to a further deepening of the technological gap between regions. (2) The empirical results of the Time Exponential Random Graph Model (TERGM) indicated that China's high-quality technology transfer network exhibits significant reciprocity effect, Matthew effect, connectivity closure effect, and time dependence effect. The evolution of the network is accompanied by characteristics such as "path dependence" and "preference attachment". (3) Further analysis revealed that the implementation of National Intellectual Property Strategy Outline has significantly improved the structure of the high-quality technology transfer network and made transfer relationships more stable. (4) Additionally, the implementation of National Innovation-Driven Development Strategy Outline has effectively enhanced the degree of network integration and the efficiency of high-quality technology transfer, while also exacerbating the hierarchical effects between regions. This study has expanded the research perspective to the field of high-quality technology transfer, and filled the gap in existing research on the endogenous mechanisms of technology transfer networks. It will provide a theoretical basis and practical guidance for promoting the development of new quality productive forces under the background of high-level scientific and technological self-reliance and constructing a technology transfer big loop.

The breakthrough of key core technologies holds significant strategic importance for technological competition and national security. In the new phase of digital innovation for latecomer nations in technological catch-up, latecomer enterprises in intelligent manufacturing play a key innovative role in overcoming the "bottleneck" challenges of key core technologies. Based on the resource orchestration theory and from the perspective of data value chain, this paper systematically explored the development stages, evolutionary pathways,internal mechanisms and technological innovation models of Ansteel Group—as a latecomer enterprise in intelligent manufacturing—in the process of achieving breakthroughs in key core technologies. The findings revealed (1) the three-stage breakthrough process: Data element drives breakthroughs in key core technologies through three sequential phases—data element agglomeration effect phase, data element multiplier effect phase, and data element dual-wheel effect phase—resolving dilemmas in technology path selection, cross-scenario reuse of proprietary technologies and insufficient cross-domain innovation synergy; (2) the data value evolution path: Anchoring along the "front-end—back-end—full-stack" data value chain, an evolutionary pathway of "data resourceization→data productization→data factorization" has been formed, which underpinned corresponding approaches to data resource orchestration; and (3) the data resource orchestration mechanisms: Through three modes of data resource orchestration—gravitational,enabling,and feedback-based—the technological leaps of "integrated technological innovation, open-source technological innovation, and collaborative technological innovation" are driven, thereby overcoming foreign technology monopolies, scenario-specific technological constraints, and challenges in domestic substitution. The resulting theoretical framework has not only elucidated the intrinsic process mechanisms of breaking the "bottleneck" of technology challenges in latecomer nations in intelligent manufacturing but also generalized an "Ansteel Path" with broader implications for major national industrial innovation.

Identifying cutting-edge technologies is of crucial importance for enterprises' R&D strategic decision-making and formulation of governments' strategic plans for scientific and technological innovation. In response to the existing shortcomings in current research on cutting-edge technology identification, namely, the inability of traditional topic models to mine industry-specific technical terms, infer relationships between technological topics and potential application domains, and lack of in-depth analysis on the application scenarios of cutting-edge technology topics, this study proposed a cutting-edge technology identification method based on large language models (LLMs). Taking the intelligent wearables field as an example, the feasibility and effectiveness of this method were validated. The study revealed the following findings: (1) Compared to traditional topic models and clustering methods based on word similarity and word embeddings, LLMs can extract more professional technical information from patent text data and better uncover technical terms and cutting-edge technology topics. (2) The deep semantic parsing capabilities of LLMs can effectively reveal the potential application fields and future application scenarios of cutting-edge technology topics. The systematic correlation analyses of cutting-edge technology topics—potential application fields—future application scenarios provide a foundation for systematically identifying cutting-edge technologies with potential application domains and future application scenarios. (3) The cutting-edge technology identification method based on LLMs, constructed using a ternary coupling analysis approach of "comprehensive indicator evaluation - deep semantic parsing - application scenario analysis", can systematically identify cutting-edge technologies that are not only forward-looking, pioneering, and exploratory but also possess potential application fields and future application scenarios. The cutting-edge technology identification method based on large language models developed in this study has enriched existing approaches and will offers a novel research methodology for the identification of cutting-edge technologies.

Exploring how manufacturing enterprises take advantage of industrial Internet platforms to achieve business model innovation is of great significance to promote their transformation and upgrading. This study, based on the survey data of 376 manufacturing enterprises that have adopted industrial Internet platforms, and using multivariate regression, empirically explored the mechanism and boundary conditions that "user-platform" integration (i.e., function integration and subject integration) influences platform users' business model innovation. The results showed that: firstly, "user-platform" function integration and subject integration have positive impacts on platform users' business model innovation (i.e., value proposition innovation, value creation innovation and value capture innovation); Secondly, organizational agility (i.e., operational adjustment agility and market capitalizing agility) plays mediating roles in the relationship between "user-platform" integration and platform users' business model innovation; Thirdly, platform leadership and platform security positively moderate the positive effects of "user-platform" integration on the platform users' value creation and value capture innovation; Fourthly, platform users' digital readiness positively moderates the positive effect of "user-platform" function integration on their organizational agility, and the positive effects of organizational agility on value creation and value capture innovation. The conclusions have extended the theoretical framework of "user-platform" integration to promote platform users' business model innovation, and will provide theoretical reference for manufacturing enterprises to utilize the resources from industrial Internet platform to promote business model innovation.