| 解茹玉,刘静.数据要素重构技术转移机制：提升工业企业科技成果转化效率的组态路径[J].情报工程,2026,12(4):025-035 |
| 数据要素重构技术转移机制：提升工业企业科技成果转化效率的组态路径 |
| Mechanism of Data Element Restructuring in Technology Transfer: A Configuration Approach to Enhance Industrial Enterprises’ Technology Transfer Efficiency |
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| DOI： |
| 中文关键词: 数据要素；技术转移机制；科技成果转化；模糊集定性比较分析 |
| 英文关键词: Data Element; Technology Transfer Mechanism;Transformation of Scientific and Technological Achievements; fsQCA |
| 基金项目:教育部人文社会科学研究一般项目“组态视角下我国制造业高绿色创新生态绩效的路径研究”（23YJC630111）。 |
| 作者 | 单位 | | 解茹玉 | 1. 咸阳师范学院经济与管理学院 咸阳 712000； | | 刘静 | 2. 西安交通大学城市学院 西安 710018 |
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| 中文摘要: |
| [目的/意义]科技成果转化是衔接科技创新与经济增长的关键环节，但我国科技成果转化率仍不理想，研究数据要素重构技术转移机制的内在逻辑，探究提升工业企业科技成果转化效率的组态路径，有助于揭示数字经济时代技术转移的新模式，为破解“两张皮”困境提供新的理论视角和实践路径。[方法/过程]基于创新生态系统理论，构建“核心层–重构层–辅助层”科技成果转化生态系统理论框架，采用模糊集定性比较分析方法探讨数据要素如何重构技术转移机制，进而提升工业企业科技成果转化效率。[ 局限 ] 考虑到科技成果转化存在滞后效应，评价中设置了 2 年的滞后期，这可能导致结果存在偏差，后续研究将采用多维评价来增强结果的可靠性。[结果/结论] 第一，工业企业科技成果转化高效率是多因素协同作用的结果，其核心逻辑是数据要素对技术转移信息传递、供需匹配与政策协同三大核心子机制的实质性重塑；第二，通过组态分析归纳三条可以产生高效率转化的组态路径，分别是信息重构主导型、供需对接主导型和政策协同主导型，且数据要素发挥着关键的催化或赋能作用。 |
| 英文摘要: |
| [Objective/Significance] Technology commercialization serves as a critical link between scientific innovation and economic growth. However, China’s relatively low technology commercialization rate remains a significant obstacle. By analyzing the underlying logic of data-driven restructuring mechanisms in technology transfer and exploring configuration pathways to enhance industrial enterprises’ technology commercialization efficiency, this research aims to reveal new models of technology transfer in the digital economy era. These findings provide fresh theoretical perspectives and practical solutions for addressing the persistent disconnect between technological innovation and economic implementation. [Methods/Process] Based on innovation ecosystem theory, a theoretical framework for the transformation of scientific and technological achievements is constructed, comprising a “core layer-reconstruction layer-assistance layer” structure. The Fuzzy-Set Qualitative Comparative Analysis method was employed to explore how data elements reconstruct technology transfer mechanisms, thereby enhancing the efficiency of industrial enterprises in commercializing scientific and technological achievements. [Limitations] Considering the lag effect in the transformation of scientific and technological achievements, a two-year lag period was set in the evaluation, which may lead to biased results. Subsequent studies will adopt multidimensional evaluation to enhance the reliability of the findings. [Results/Conclusions] The study reveals three key findings: First, the high efficiency of industrial enterprises in technology commercialization results from multi-factor synergy, with data elements fundamentally reshaping three core mechanisms: technology transfer information flow, supply-demand matching, and policy coordination. Second, the study identifies three high-efficiency pathways: information-driven restructuring, supply-demand alignment, and policy coordination, and data elements play a crucial catalytic or enabling role. |
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