Team Power and Hierarchy: Understanding Team Success

• URL: http://arxiv.org/abs/2108.04108v1
• Date: Mon, 9 Aug 2021 15:10:58 GMT
• Title: Team Power and Hierarchy: Understanding Team Success
• Authors: Huimin Xu, Yi Bu, Meijun Liu, Chenwei Zhang, Mengyi Sun, Yi Zhang, Eric Meyer, Eduardo Salas, Ying Ding
• Abstract summary: This research examines in depth the relationships between team power and team success in the field of Computer Science. By analyzing 4,106,995 CS teams, we find that high power teams with flat structure have the best performance. On the contrary, low-power teams with hierarchical structure is a facilitator of team performance.
• Score: 11.09080707714613
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Teamwork is cooperative, participative and power sharing. In science of science, few studies have looked at the impact of team collaboration from the perspective of team power and hierarchy. This research examines in depth the relationships between team power and team success in the field of Computer Science (CS) using the DBLP dataset. Team power and hierarchy are measured using academic age and team success is quantified by citation. By analyzing 4,106,995 CS teams, we find that high power teams with flat structure have the best performance. On the contrary, low-power teams with hierarchical structure is a facilitator of team performance. These results are consistent across different time periods and team sizes.

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