Collective Intelligence in Team Performance

In an era of complex challenges, collective intelligence in team performance has emerged as a pivotal lens through which to understand how groups of individuals synergise cognitive resources to solve problems, innovate and make decisions. At its core, collective intelligence denotes a team-level capacity to deliver coherent outcomes across a variety of tasks, transcending the sum of individual contributions. This capacity is shaped by factors such as the composition of team members, including their cognitive abilities and social sensitivity, and the patterns of interaction that govern information exchange. Measurements typically involve batteries of diverse tasks whose outcomes are reduced to a single latent factor, often called the c-factor. Recent investigations have extended the remit of collective intelligence research from small face-to-face groups to large-scale online cohorts, revealing the importance of network topology, task structure and facilitative technologies. Applications span corporate decision-making, educational environments and crisis coordination, underscoring the concept’s practicality for enhancing collaboration and performance in contexts worldwide.

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Collective Intelligence in Team Performance publication trend

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Technical terms

Collective Intelligence: A latent group-level ability that enables a team to perform consistently well across diverse tasks.

c-factor: The general factor representing collective intelligence derived from statistical reduction of group task performance scores.

Collaboration Network Topology: The structural arrangement of interactions among team members, including measures of connectivity and robustness.

References

1. Reading the Mind in the Eyes or Reading between the Lines? Theory of Mind Predicts Collective Intelligence Equally Well Online and Face-To-Face. PLOS ONE (2014).
2. The Insensitive Ruins It All: Compositional and Compilational Influences of Social Sensitivity on Collective Intelligence in Groups. Frontiers in Psychology (2016).
3. Dynamics of collective performance in collaboration networks. PLOS ONE (2018).
4. Task structure as a boundary condition for collective intelligence. Personnel Psychology (2021).
5. Digital Facilitation of Group Work to Gain Predictable Performance. Group Decision and Negotiation (2023).
6. Evolutionary emergence of collective intelligence in large groups of students. Frontiers in Psychology (2022).