Statistical model of the association between collaboration dynamics and project performance - Learning Transitions
Rapport (Rapport De Recherche) Année : 2023

Statistical model of the association between collaboration dynamics and project performance

Résumé

This report investigates the association between collaboration dynamics and project performance in the context of Crowd4SDG consortium's GEAR cycles 2 and 3, using self-reported data collected through the CoSo platform and digital traces from Slack. The analysis reveals the importance of team engagement, diverse compositions, activity span, and effective collaboration strategies in determining project outcomes. The findings also indicate that compositional and structural aspects at the Evaluate phase can serve as early predictors of teams' eventual performance. Based on these insights, the report recommends fostering robust team engagement, assembling diverse teams, and implementing efficient collaboration strategies to enhance the success of future GEAR cycles or similar programs.
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Dates et versions

hal-04167300 , version 1 (20-07-2023)
hal-04167300 , version 2 (19-09-2024)

Identifiants

  • HAL Id : hal-04167300 , version 2

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Marc Santolini, Camille Masselot, Rathin Jeyaram. Statistical model of the association between collaboration dynamics and project performance. European Union's Horizon 2020 research and innovation programme. 2023. ⟨hal-04167300v2⟩
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