A Study on the Impact of Team Diversity on the Innovation Diffusion of Papers in the Field of Artificial Intelligence from Causal Inference Perspective
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%.
Team diversityArtificial intelligenceCausal inferenceKnowledge diffusionContinuous adoption
国家科技期刊平台
NSTL
万方数据
