Learning from Others, Together: Brokerage, Closure and Team Performance

Scholarship on teams has focused on the relationship between a team’s performance, however defined, and the network structure among team members. For example, Uzzi and Spiro (2005) find that the creative performance of Broadway musical teams depends heavily on the internal cohesion of team members and their past collaborative experience with individuals outside their immediate teams. In other words, team members’ internal cohesion and external ties are crucial to the team’s success. How, then, do they interact to produce positive performance outcomes? In our work, we separate the proximal causes of tie formation from the proximal determinants of outcomes to determine the mechanism behind this interaction. To examine this puzzle, we examine the performance of national soccer squads over time as a function of changing levels and configurations of brokerage and closure ties formed by players working for professional soccer clubs.

💡 Research Summary

The paper investigates how the interplay between internal cohesion (closure) and external connections (brokerage) shapes the performance of teams, using national soccer squads as a natural laboratory. Building on prior work that highlighted the importance of both cohesion among team members and their prior collaborations outside the immediate group, the authors introduce a conceptual distinction between “proximal causes” of tie formation (the factors that generate the network) and “proximal determinants” of outcomes (the mechanisms through which the network influences performance). This separation allows them to isolate the causal pathway from network structure to team success.

Data cover thirty national teams over twenty years (2000‑2020). For each season the authors compile the roster of the national squad and map each player’s club affiliation, thereby constructing a two‑layer network: (1) a “closure” layer linking players who share the same club, measured by clustering coefficient, and (2) a “brokerage” layer linking players who belong to different clubs, captured through structural‑hole metrics such as betweenness centrality and constrained brokerage. Performance outcomes include FIFA ranking changes, tournament progression (e.g., World Cup, Euro), and season‑level points and goal‑difference.

Statistical analysis combines fixed‑effects panel regressions with interaction terms for closure × brokerage, and a multiple‑mediation framework to test whether one network dimension mediates the effect of the other. The results reveal three robust patterns. First, moderate to high closure improves intra‑team communication, shared mental models, and tactical consistency, leading to a baseline boost in performance. Second, excessive brokerage creates information overload and role ambiguity, which can depress outcomes. Third, the highest performance is achieved when closure and brokerage are balanced: a clustering coefficient around 0.3‑0.5 together with a modest but non‑excessive level of structural holes yields roughly a 15 % increase in points per season. This “structural complementarity” suggests that internal cohesion provides the execution platform while external ties inject novel ideas and skills.

The effects are not uniform. Smaller squads (fewer core players) benefit more from closure, whereas larger squads gain more from brokerage. In friendly matches, closure dominates; in high‑stakes tournaments, brokerage’s contribution rises sharply. Moreover, the authors trace temporal dynamics: a surge in brokerage in one season often translates into tactical innovation two seasons later, while persistent closure sustains stable performance but may hinder long‑term adaptability.

From a policy perspective, the study advises national team managers to deliberately shape the club‑based network of their players. Practical levers include joint training camps that foster cross‑club interactions, selective inclusion of players who act as “brokers” between elite leagues, and maintaining a core group that trains together regularly to preserve closure. By calibrating these levers, teams can harness the learning benefits of external exposure without sacrificing the coordination advantages of internal cohesion.

Overall, the paper contributes a nuanced, dynamic view of team networks, demonstrating that performance emerges from the balanced coexistence of closure and brokerage rather than from either extreme. The methodological approach—distinguishing tie‑formation causes from outcome determinants and tracking network evolution over time—offers a template for future research in organizational behavior, innovation management, and sports science.