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Flat teams drive scientific innovation

Author

Listed:
  • Fengli Xu

    (a Knowledge Lab, University of Chicago, Chicago, IL 60637;; b Department of Sociology, University of Chicago, Chicago, IL 60637;)

  • Lingfei Wu

    (c School of Computing and Information, University of Pittsburgh, Pittsburgh, PA 15260)

  • James Evans

    (a Knowledge Lab, University of Chicago, Chicago, IL 60637;; b Department of Sociology, University of Chicago, Chicago, IL 60637;)

Abstract

With teams growing in all areas of scientific and scholarly research, we explore the relationship between team structure and the character of knowledge they produce. Drawing on 89,575 self-reports of team member research activity underlying scientific publications, we show how individual activities cohere into broad roles of 1) leadership through the direction and presentation of research and 2) support through data collection, analysis, and discussion. The hidden hierarchy of a scientific team is characterized by its lead (or L) ratio of members playing leadership roles to total team size. The L ratio is validated through correlation with imputed contributions to the specific paper and to science as a whole, which we use to effectively extrapolate the L ratio for 16,397,750 papers where roles are not explicit. We find that, relative to flat, egalitarian teams, tall, hierarchical teams produce less novelty and more often develop existing ideas, increase productivity for those on top and decrease it for those beneath, and increase short-term citations but decrease long-term influence. These effects hold within person—the same person on the same-sized team produces science much more likely to disruptively innovate if they work on a flat, high-L-ratio team. These results suggest the critical role flat teams play for sustainable scientific advance and the training and advancement of scientists.

Suggested Citation

  • Fengli Xu & Lingfei Wu & James Evans, 2022. "Flat teams drive scientific innovation," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(23), pages 2200927119-, June.
  • Handle: RePEc:nas:journl:v:119:y:2022:p:e2200927119
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    Citations

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    Cited by:

    1. Alexander Krauss, 2024. "Science’s greatest discoverers: a shift towards greater interdisciplinarity, top universities and older age," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    2. Huimin Xu & Yi Bu & Meijun Liu & Chenwei Zhang & Mengyi Sun & Yi Zhang & Eric Meyer & Eduardo Salas & Ying Ding, 2022. "Team power dynamics and team impact: New perspectives on scientific collaboration using career age as a proxy for team power," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(10), pages 1489-1505, October.
    3. Liyin Zhang & Yuchen Qian & Chao Ma & Jiang Li, 2023. "Continued collaboration shortens the transition period of scientists who move to another institution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1765-1784, March.
    4. Hayat D. Bedru & Chen Zhang & Feng Xie & Shuo Yu & Iftikhar Hussain, 2023. "CLARA: citation and similarity-based author ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1091-1117, February.
    5. Yue Wang & Ning Li & Bin Zhang & Qian Huang & Jian Wu & Yang Wang, 2023. "The effect of structural holes on producing novel and disruptive research in physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1801-1823, March.

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