Abstract

Crowdsourced competitions in online knowledge communities offer a unique blend of competition and collaboration. This study aims to identify the factors that influence team performance in these competitions as well as the mechanisms through which these influences operate. Grounded in the input-process-output model and the feedback intervention theory, a theoretical framework has been developed. The study will utilize an archival dataset of Kaggle and employ panel regression and structural equation modeling to test the direct effects of team size, team members’ experience, collaboration history, network density, and model performance on team performance. The study will also investigate the mediating effects of knowledge integration, coordination, communication, and access to diverse ideas. It will further examine the moderating effect of competition intensity on the relationship between leaderboard ranking and team performance.

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