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技术演化路径识别:内涵释义与研究进展
引用本文:黄颖,叶冬梅,丁凤,徐畅,张琳.技术演化路径识别:内涵释义与研究进展[J].图书情报工作,2022,66(22):142-154.
作者姓名:黄颖  叶冬梅  丁凤  徐畅  张琳
作者单位:1.武汉大学信息管理学院 武汉 430072;2.武汉大学科教管理与评价中心 武汉 430072;3.比利时鲁汶大学ECOOM研究中心 比利时鲁汶 B-3000
基金项目:本文系国家自然科学基金青年项目"基于多源异构数据的新兴技术演化路径识别与预测研究"(项目编号:72004169)研究成果之一。
摘    要:[目的/意义] 开展面向特定技术领域的技术演化路径识别,有助于梳理技术发展脉络进而对未来的技术发展方向做出合理预测,对识别科技优先领域、合理配置科技资源具有重要意义。[方法/过程] 在梳理技术演化与技术演化路径的相关内涵的基础上,简要辨析了技术演化路径相关概念;进而从专利文献中的不同信息出发,从专利分类、专利引文、专利文本以及融合多种字段信息来总结技术演化路径识别研究的主要进展,并进一步归纳出该主题的整体发展趋势。[结果/结论] 技术演化路径识别研究主要趋势包括:数据来源从单一数据转向多源异构数据融合,研究方法从注重定量转向定性与定量相结合,关注视角从历史演化路径识别转向未来演化路径预测,应用场景由一般性技术到颠覆性技术转变。

关 键 词:技术演化  路径识别  专利分析  路径依赖  技术轨道  
收稿时间:2021-11-24
修稿时间:2022-08-21

Identification of Technology Evolution Pathway: Connotation Interpretation and Research Progress
Huang Ying,Ye Dongmei,Ding Feng,Xu Chang,Zhang Lin.Identification of Technology Evolution Pathway: Connotation Interpretation and Research Progress[J].Library and Information Service,2022,66(22):142-154.
Authors:Huang Ying  Ye Dongmei  Ding Feng  Xu Chang  Zhang Lin
Institution:1.School of Information Management, Wuhan University, Wuhan 430072;2.Cener for Science, Technology & Education Assessment (CSTEA), Wuhan University, Wuhan 430072;3.Centre for R&D Monitoring (ECOOM) and Department of MSI, KU Leuven, Leuven B-3000
Abstract:Purpose/Significance] Conducting the identification of technological evolution paths for specific technological fields helps sort out the context of historical technology development and make reasonable predictions about future technological development directions. It is of great significance to identify the priority areas of science and technology and rationally allocate scientific and technological resources. Method/Process] Based on sorting out the connotation of technology evolution and technology evolution pathway, this paper briefly identified the concepts related to technology evolution pathways; then, starting from different information in patent documents, the paper summarized the main progress of technology evolution path identification research from patent classification, patent citation, patent text and fusion of multiple field information, and further summarized the overall development trend of this topic. Result/Conclusion] The main trends in technology evolution path identification research include: data sources will shift from single data to multi-source heterogeneous data fusion, research methods will shift from focusing on quantitative to combining qualitative and quantitative, focused perspective will shift from historical evolution path identification to future evolution path prediction, and application scenarios will shift from the general technology to disruptive technology.
Keywords:technological evolution  path identification  patent analysis  path dependence  technological trajectory  
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