因果推断视角下团队多样性对人工智能领域文献创新扩散的影响研究
A Study on the Impact of Team Diversity on the Innovation Diffusion of Papers in the Field of Artificial Intelligence from Causal Inference Perspective
唐旭丽 1李信2
作者信息
- 1. 华中师范大学信息管理学院,武汉,430079
- 2. 华中科技大学同济医学院医药卫生管理学院,武汉,430030
- 折叠
摘要
从引文视角出发,将人工智能(AI)领域文献创新扩散过程划分为"是否采纳"(10年内)和"持续性采纳"(包括快速增长期、缓慢增长期和采纳饱和期),基于1950-2019年期间发表的约170万篇AI合作文献,借助因果推断方法,探究团队多样性对不同创新扩散阶段的因果效应,研究发现:①团队国家多样性与是否采纳、持续性采纳均呈现正向因果效应,即提高AI领域团队国家多样性水平,能够使文献10年内被采纳的可能性相对增加7.041%～9.818%,同时使持续性采纳相对提高8.082%～16.834%.②团队在学科和主题层面的多样性与是否采纳间呈现正向因果关系,与持续性采纳间无显著因果关系.提高AI领域团队学科和主题多样性,能够使文献10年内被采纳的可能性分别提高3.651%～4.697%、3.052%～5.095%.③团队机构多样性和持续性采纳间存在正向因果效应,与是否采纳间无显著因果关联.提高AI领域团队机构多样性能够使持续性采纳相对提高13.506%～18.679%.
Abstract
We divided innovation diffusion in AI into two situations:whether adopted(in ten years)and continuous adoption(rapid growth period,slow growth period,and adoption saturation period)from the per-spective of citation.Then,we explored the causal effects of team diversity on innovation diffusion at different stages by analyzing approximately 1.7 million AI co-authored papers using causal inference methods.We discovered that:①the national diversity of co-author teams has positive causal effect on both whether adopted and adoption and continuous adoption.It would increase the likelihood of adoption by 7.041%to 9.818%over ten years and increase the continuous adoption by 8.082%to 16.834%.②the team diversity across disciplines and topics has a positive causal effect on adoption and it would increase the likelihood of adoption by 3.651%to 4.697%,and by 3.052%to 5.095%over ten years,respectively.③ the team diversity across affiliation has posi-tive causal effect on continuous adoption and it would increase the continuous adoption by 13.506%to 18.679%.
关键词
团队多样性/人工智能/因果关联/创新扩散/持续性采纳Key words
Team diversity/Artificial intelligence/Causal inference/Knowledge diffusion/Continuous adoption引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据