Impact of Team Identification on the Online Dynamic Team’s Effectiveness: The Mediating Role of Team Size

Jing Yang (), Tang Yao () and Jun Wang ()
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Jing Yang: Beihang University, School of Economics and Management
Tang Yao: Beihang University, School of Economics and Management
Jun Wang: Beihang University, School of Economics and Management

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 317-325 from Springer

Abstract: Abstract Online dynamic teams have become a popular trend. Under this trend, the resource role of individuals in teams has been strengthened, which challenges the theories and conclusions in the traditional team literature. This study explores the impact of team identification on team effectiveness in the online dynamic context. Drawing on the social identity theory, this study presents and confirms a model that investigates the mediating role of team size between team identification and team effectiveness. Based on the sample of 238 teams from an O2O activity-organizing community, we conducted an empirical analysis using multiple linear regression models and the bootstrapping technique. The results revealed that in the online dynamic context, team identification positively correlates with team effectiveness. Additionally, team size fully mediates this correlation. This study has implications for dynamic teams seeking effectiveness in the online context.

Keywords: Online dynamic teams; team identification; team size; team effectiveness; mediation analysis; empirical study (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-256-9_34

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