Team Size and Its Negative Impact on the Disruption Index
Yiling Lin, Linzhuo Li, and Lingfei Wu

TL;DR
This paper investigates how increasing team size negatively affects innovation disruption, demonstrating that smaller teams tend to produce more transformative work over the long term, even after accounting for various factors.
Contribution
It provides additional evidence that larger teams are less disruptive, emphasizing the importance of small teams for long-term scientific innovation.
Findings
Negative relationship between team size and disruption index confirmed
Long-term disruptive potential of small teams is underestimated in short-term analyses
Small teams often require a decade or more to realize their transformative impact
Abstract
As science transitions from the age of lone geniuses to an era of collaborative teams, the question of whether large teams can sustain the creativity of individuals and continue driving innovation has become increasingly important. Our previous research first revealed a negative relationship between team size and the Disruption Index-a network-based metric of innovation-by analyzing 65 million projects across papers, patents, and software over half a century. This work has sparked lively debates within the scientific community about the robustness of the Disruption Index in capturing the impact of team size on innovation. Here, we present additional evidence that the negative link between team size and disruption holds, even when accounting for factors such as reference length, citation impact, and historical time. We further show how a narrow 5-year window for measuring disruption can…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuality and Supply Management · Supply Chain Resilience and Risk Management · Big Data and Business Intelligence
