• 中国科学学与科技政策研究会
  • 中国科学院科技战略咨询研究院
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

›› 2021, Vol. 39 ›› Issue (3): 0-0.

• 技术创新与制度创新 •    

校友关系网络对科技人员创新产出的影响———基于知识转移视角

周怀康1,葛淳棉1,王砚羽2,姜军辉1,3   

  1. 1. 华南理工大学工商管理学院
    2. 北京邮电大学
    3.
  • 收稿日期:2020-04-05 修回日期:2020-09-01 出版日期:2021-03-15 发布日期:2021-05-28
  • 通讯作者: 葛淳棉
  • 基金资助:
    国家自然科学基金;广东省自然科学基金杰出青年项目;国家自然科学基金青年项目;教育部人文社会科学研究青年基金项目

The Impact of Scientists and Engineers’ Alumni Network and Innovation Output:From Knowledge Transfer Perspective

  • Received:2020-04-05 Revised:2020-09-01 Online:2021-03-15 Published:2021-05-28

摘要: 校友关系网络是否影响科技人员的创新产出?现有文献较少针对该重要群体的关系网络进行探讨。本文以科技人员为研究对象,并采用来自哈佛专利数据库以及一家大型职业社交网站的公开在线简历的新匹配数据集进行实证分析。研究表明,科技人员在校友关系网络中的知识可达性有利于提升其创新产出。基于能力-动机框架的进一步研究表明,该效应对于名校毕业的科技人员更为明显,但会随着科技人员职业生涯的延伸逐渐减弱。知识转移机制分析表明,相比于非校友的专利发明,科技人员更有可能引用来自校友的专利发明。本研究丰富和拓展了非正式网络对个体创新的相关研究。同时,也为未来利用简历数据探究校友因素的相关研究提供了一种可行的思路。

关键词: 校友关系网络, 知识可达性, 创新产出, 知识转移

Abstract: How does the alumni network impact the innovation output of Scientists and Engineers? The existing literature rarely discusses the social network of this important group. We conducted research on scientists and engineers and used a new matching dataset from the Harvard Patent Inventor Database and professional networking sites’ online resumes for empirical analysis. Studies have shown that the knowledge accessibility of scientists and engineers in the alumni network is conducive to improving their innovation output. Based on the motivation-capability framework, further research shows that this effect is more obvious for ones who graduated from prestigious universities, but will gradually weaken as ones’ career extends. Mechanism test finds that scientists and engineers are more likely to cite patents from alumni than non-alumni. This research enriches the research on individual innovation by informal networks. At the same time, this study also provides a feasible way for future research on the use of resume data to explore the impact of alumni factors.

Key words: Alumni Network, Knowledge Accessibility, Innovation Output, Knowledge Transfer