| 李艾丹 赵筱媛 李曼迪.数智化转型下产业技术创新情报服务优化路径研究[J].中国科技资源导刊,2026,(1):29~37,49 |
| 数智化转型下产业技术创新情报服务优化路径研究 |
| Research on the Optimization Paths of Industrial Technical Innovation Intelligence Services under Digital and Information Transformation |
| 投稿时间：2025-11-11 |
| DOI： |
| 中文关键词: 情报工作;数智化转型;产业技术创新;情报服务机制 |
| 英文关键词: information work, digital and intelligent transformation, industrial technical innovation, information service mechanism |
| 基金项目:国家社会科学基金重大项目“前沿交叉领域识别与融合创新路径预测方法研究”(23&ZD225);高校人文社会科学重点研究基础重大项目“产业技术创新智能情报分析平台研究”(22JJD870005)。 |
| 作者 | 单位 | | 李艾丹 赵筱媛 李曼迪 | (中国科学技术信息研究所，北京 100038) |
|
| 摘要点击次数: 17 |
| 全文下载次数: 10 |
| 中文摘要: |
| 数智化转型背景下，产业技术创新呈现多主体协同、多要素耦合的复杂特征，传统情报服务已难以适配全链条创新需求，研究如何优化产业技术创新情报服务全流程、推动情报工作提质增效与数据智能驱动升级，具有重要的现实意义。本文立足产业技术研发、成果转化、产业扩散各阶段的差异化需求，构建包含数据采集与融合、语义认知与理解、情报分析与预测和决策生成与支持4个递进式环节的全生命周期智能情报服务机制，并针对服务实践中的关键短板，提出系统性优化路径，推动数智化情报服务深度适配产业创新场景，为产业创新生态协同升级提供实践支撑。 |
| 英文摘要: |
| Against the backdrop of digital-intelligent transformation, industrial technical innovation exhibits complex characteristics featured by multi-stakeholder collaboration and multi-factor coupling. Traditional information services have become increasingly inadequate to accommodate the demands of full-chain innovation. Accordingly, exploring optimized pathways for the whole process of industrial technological innovation information services, and advancing the quality, efficiency as well as data-information-driven upgrading of information practices, is of profound practical significance. Based on the differentiated demands across the phases of industrial technical R&D, technology commercialization, and industrial diffusion, this study constructs a full-life-cycle intelligent information service mechanism comprising four progressive modules: data acquisition and integration, semantic cognition and comprehension, information analysis and forecasting, and decision generation and support. Targeting the critical deficiencies in practical service implementation, this paper puts forward a systematic optimization framework to drive the in-depth adaptation of digital-intelligent information services to industrial innovation scenarios, which provides solid practical support for the collaborative upgrading of the industrial innovation ecosystem. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
