技术团队跨学科性对突破性创新的影响研究

doi:10.3772/j.issn.1000-0135.2024.05.001

情报学报

2024, Vol. 43

Issue (5): 503-515 DOI: 10.3772/j.issn.1000-0135.2024.05.001

情报理论与方法

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技术团队跨学科性对突破性创新的影响研究

丁乐蓉^1,2, 石静^1,2, 吴柯烨^1,2, 孙建军^1,2

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

Influence of Interdisciplinary Collaboration of Technical Teams on Breakthrough Innovation

Ding Lerong^1,2, Shi Jing^1,2, Wu Keye^1,2, Sun Jianjun^1,2

1.Laboratory of Data Intelligence and Interdisciplinary Innovation, Nanjing University, Nanjing 210023
2.School of Information Management, Nanjing University, Nanjing 210023

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摘要为探索技术团队跨学科性对突破性创新的影响，本文在PATSTAT（Worldwide Patent Statistical Database，全球专利统计数据库）生物制药专利数据的基础上，从多样性、均衡性和差异性3个维度测度技术团队跨学科性，使用突破性创新程度（D指数）和突破性创新数量量化团队突破性创新成果，采用多元线性回归方法分析技术团队跨学科性对突破性创新的影响，并通过调整引用时间窗对结论进行鲁棒性检验。研究发现：①在生物制药领域，技术团队跨学科性对突破性创新具有显著影响，具体表现为技术团队多样性水平越高，团队越倾向于产出更多高突破性的创新成果；技术团队均衡性越高，团队的突破性创新成果越符合“少而美”的特点；技术团队差异性越大，团队创新成果的突破性程度越低。②生物制药领域技术团队以10人以下小规模团队为主，其中年轻的、非跨国的小规模团队更有可能产出突破性较强的创新成果。

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	丁乐蓉
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关键词 ：跨学科性, 突破性创新, D指数, 技术团队

收稿日期: 2023-04-25

基金资助: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）。

作者简介: 丁乐蓉，女，1995年生，博士研究生，研究方向为科技创新、专利计量，E-mail：dg21140007@smail.nju.edu.cn；石静，女，1995年生，博士研究生，研究方向为知识关联、科技创新；吴柯烨，男，1996年生，博士研究生，研究方向为数据挖掘、技术预测；孙建军，男，1962年生，教授，博士生导师，研究方向为网络信息资源管理、大数据分析；

引用本文:

丁乐蓉, 石静, 吴柯烨, 孙建军. 技术团队跨学科性对突破性创新的影响研究[J]. 情报学报, 2024, 43(5): 503-515.
Ding Lerong, Shi Jing, Wu Keye, Sun Jianjun. Influence of Interdisciplinary Collaboration of Technical Teams on Breakthrough Innovation. 情报学报, 2024, 43(5): 503-515.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2024.05.001 或 https://qbxb.istic.ac.cn/CN/Y2024/V43/I5/503

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