信息资源管理学报 ›› 2024, Vol. 14 ›› Issue (4): 86-102.doi: 10.13365/j.jirm.2024.04.086

• 研究论文 • 上一篇    下一篇

科学与技术知识融合中的新近性与时域性作用研究

张佳锐1,2 康乐乐1,2 孙建军1,2   

  1. 1. 南京大学数据智能与交叉创新实验室,南京,210023
    2. 南京大学信息管理学院,南京,210023
  • 出版日期:2024-07-26 发布日期:2024-08-14
  • 作者简介:张佳锐,硕士生,研究方向为信息计量分析;康乐乐(通讯作者),博士,副教授,研究方向为信息系统、移动应用、创新测度,Email:lelekangnju@gmail.com;孙建军,博士,教授,研究方向为网络信息资源管理、信息分析研究等。
  • 基金资助:
    本文系国家自然科学基金项目“从驱动到扩散:基于多元方法的移动应用创新机理研究”(72072087)的研究成果之一。

The Influence of Recency and Time-span in the Scientific and Technological Knowledge Convergence

Zhang Jiarui1,2 Kang Lele1,2 Sun Jianjun1,2   

  1. 1. Laboratory of Data Intelligence and Interdisciplinary Innovation, Nanjing University, Nanjing, 210023
    2. School of Information Management, Nanjing University, Nanjing, 210023
  • Online:2024-07-26 Published:2024-08-14
  • About author:Zhang Jiarui, M.S. candidate, focuses on informetrics analysis; Kang Lele(corresponding author), Ph.D. and associate professor, focuses on information systems, mobile applications, and innovation metrics, email: lelekangnju@gmail.com; Sun Jianjun, Ph.D. and professor,focuses on network information resource management and information analysis.
  • Supported by:
    This article is supported by the National Natural Science Foundation of China project "From Fostering to Diffusing: Studying the Mechanism of Mobile Apps Innovation Based on the Mixed-method Approach"(72072087).

摘要: 探究专利吸收科学与技术知识的时间属性特征及其对专利创新结果的影响,有助于提升对知识吸收中时间效应的理解。利用专利的引文时滞,采用新近性和时域性表征专利吸收知识的新近程度与时间跨度,基于1979—2013年申请的2,563,948项目标专利,6,693,213项引用专利与3,978,556篇引用论文,分析专利吸收科学与技术知识的新近性与时域性分布,并探究时间属性与专利影响力的不确定性之间的关系。结果表明,电子工程领域专利依赖于新近的科学与技术知识,而化学相关领域则依赖于时间跨度更大的科学知识;与企业相比,高等院校与政府机构倾向于利用更新和时间跨度更小的知识。广义负二项回归结果表明,高新近性的科学与技术知识、高时域性的技术知识会显著增加专利影响力的不确定性,而高时域性的科学知识会降低专利影响力的不确定性。

关键词: 专利创新, 知识流动, 科学-知识, 新近性, 时域性, 专利影响力

Abstract: Investigating the temporal attributes of patent knowledge absorption and their impact on patent innovation outcomes can enhance the understanding of time effects in knowledge absorption. By employing patent citation delays, it quantifies the recency and time-span of knowledge absorbed in patents. The analysis covers 2,563,948 citing patents, 6,693,213 cited patents, and 3,978,556 cited papers from 1979 to 2013. It examines the distributions of recency and time-span in the scientific and technological knowledge incorporated into patents and explores how these temporal characteristics relate to the uncertainty of patent impact, as indicated by forward citations. Findings reveal that patents in the field of electrical engineering predominantly rely on recently acquired scientific and technological knowledge, whereas chemistry-related fields depend more on scientific knowledge absorbed over extended periods. Universities and government agencies, as opposed to firms, tend to utilize knowledge with greater recency and time-span. Results from generalized negative binomial regression indicate that higher recency in scientific and technological knowledge and greater time-span in technological knowledge significantly increase the uncertainty in patent influence, while a longer time-span in scientific knowledge decreases it.

Key words: Patent innovation, Knowledge flow, Science-technology, Recency, Time-span, Patent influence

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