The team cohesion-performance relationship: A meta-analysis exploring measurement approaches and the changing team landscape

Team cohesion is an important antecedent of team performance, but our understanding of this relationship is mired by inconsistencies in how cohesion has been conceptualized and measured. The nature of teams is also changing, and the effect of this change is unclear. By meta-analyzing the cohesion-performance relationship ( k = 195, n = 12,023), examining measurement moderators, and distinguishing modern and traditional team characteristics, we uncovered various insights. First, the cohesion-performance relationship varies based on degree of proximity. More proximal measures –task cohesion, referent-shift, and behaviorally-focused– show stronger relationships compared to social cohesion, direct consensus, and attitudinally-focused, which are more distal. Differences are more pronounced when performance metrics are also distal. Second, group pride is more predictive than expected. Third, the cohesion-performance relationship and predictive capacity of different measures are changing in modern contexts, but findings pertaining to optimal measurement approaches largely generalized. Lastly, important nuances across modern characteristics warrant attention in research and practice. Plain Language Summary Team cohesion is an important antecedent of team performance, but our understanding of this relationship is mired by inconsistencies in how cohesion has been conceptualized and measured. The nature of teams has also changed over time, and the effect of this change is unclear. By meta-analyzing the cohesion-performance relationship ( k = 195, n = 12,023), examining measurement moderators, and distinguishing between modern and traditional team characteristics, we uncovered various insights for both research and practice. First, the cohesion-performance relationship varies based on degree of proximity. Measures that are more proximal to what a team does – those assessing task cohesion, utilizing referent shift items, and capturing behavioral manifestations of cohesion – show stronger relationships with performance compared to those assessing social cohesion, utilizing direct consensus items, and capturing attitudinal manifestations of cohesion, which are more distal. These differences are more pronounced when performance metrics are also more distal. Second, despite being understudied, the group pride-performance relationship was stronger than expected. Third, modern team characteristics are changing both the overall cohesion-performance relationship and the predictive capacity of different measurement approaches, but findings pertaining to the most optimal measurement approaches largely generalized in that these approaches were less susceptible to the influence of modern characteristics. However, in some contexts, distal cohesion metrics are just as predictive as their more proximal counterparts. Lastly, there are important nuances across different characteristics of modern teams that warrant additional research attention and should be considered in practice. Overall, findings greatly advance science and practice pertaining to the team cohesion-performance relationship.