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Why do some teams with deep personal bonds and a strong sense of belonging still fall apart under pressure, while others with less obvious camaraderie seem to read each other's minds and adapt on the fly? This puzzle has driven the study of team dynamics in sport from its earliest formal frameworks to the present day. The central question has never been simply whether cohesion matters, but rather what else matters—shared beliefs, shared knowledge, adaptive systems, distributed influence, and the climate for interpersonal risk—and how these forces interact.
The first systematic framework to address team dynamics in sport was the Multidimensional Model of Group Cohesion, developed by Albert Carron and colleagues in the early 1980s. Before this model, cohesion was often treated as a single, vague quality of togetherness. Carron’s framework broke it into four distinct dimensions: individual attractions to the group—task (ATG-T) and social (ATG-S)—and group integration—task (GI-T) and social (GI-S). The Group Environment Questionnaire (GEQ), developed alongside the model, gave researchers a reliable tool to measure these dimensions separately.
For two decades, the cohesion paradigm dominated the field. It provided a clear vocabulary for describing team bonds and generated hundreds of studies linking cohesion to performance, satisfaction, and retention. Yet by the late 1990s, researchers began noticing that cohesion alone could not explain why some highly cohesive teams underperformed or why some loosely connected teams coordinated seamlessly. Cohesion described the glue, but it did not explain the cognitive and motivational machinery that made teams function.
Two frameworks that emerged in the 1990s addressed these gaps from different angles. The Collective Efficacy Framework, rooted in Bandura’s social-cognitive theory, focused on a team’s shared belief in its conjoint capabilities. A team might be cohesive but lack confidence in its ability to execute a specific strategy against a particular opponent. Collective efficacy turned attention from how much a team liked each other to what the team believed it could achieve together. It also introduced a dynamic element: efficacy beliefs fluctuate with performance, opponent strength, and situational demands.
Around the same time, the Team Mental Models framework imported ideas from cognitive science and human factors research. It asked not what a team believes about its capabilities, but what knowledge structures team members share about roles, strategies, equipment, and teammates. Two players might both be confident (high collective efficacy) yet hold incompatible assumptions about who should cover which zone on defense. Team mental models captured the coordination advantage that comes from shared understanding rather than shared confidence.
These two frameworks coexisted and often complemented each other. A team with strong shared mental models and high collective efficacy was expected to perform better than a team strong on only one dimension. But they also rested on different assumptions: collective efficacy emphasized motivational beliefs, while team mental models emphasized cognitive alignment. Researchers could study them together, but the frameworks did not merge.
The 2000s brought a more radical challenge to the cohesion tradition. The Ecological Dynamics Approach, drawing on ecological psychology and dynamical systems theory, reframed teams not as stable groups with fixed properties but as self-organizing systems that adapt to constraints in real time. Coordination, from this perspective, does not require shared mental models or even explicit communication. It emerges from the interaction of individual performers with each other and with the environment, guided by affordances—opportunities for action that the environment offers. A soccer player does not need to mentally model a teammate’s intentions; the teammate’s movement creates an affordance (a passing lane) that the player can perceive and act on directly.
Ecological dynamics thus stood in tension with the cognitive assumptions of team mental models. Where mental models research assumed that coordination depends on internal knowledge representations, ecological dynamics argued that coordination can be self-organized without such representations, through constraint-led practice and representative learning design. This was not a rejection of all earlier work but a narrowing of its scope: shared mental models might matter in slow, deliberate team tasks, but in fast, perception-driven sports, ecological dynamics offered a different explanatory mechanism.
The same period saw two leadership frameworks that rethought how influence operates in teams. The Shared Leadership Paradigm challenged the assumption that leadership flows from a single coach or captain. Instead, leadership is distributed across team members, shifting with the situation. A veteran player might lead during a close game, while a younger player leads during a tactical huddle. Shared leadership treats influence as a team resource rather than a positional role.
The Transformational Leadership Paradigm, by contrast, retained a focus on the formal leader—typically the coach—but redefined what effective leadership looks like. Transformational coaches inspire, intellectually stimulate, and individually consider their athletes, fostering commitment that goes beyond transactional exchanges of effort for reward. In sport, transformational leadership has been linked to greater team cohesion, collective efficacy, and athlete well-being. The two paradigms are complementary rather than competing: a team can have a transformational coach who also encourages shared leadership among players. The choice between them depends partly on team maturity and task interdependence. A young, developing team may need more transformational coaching to build norms and confidence; a mature, expert team may benefit more from distributing leadership across experienced members.
The most recent major framework, the Psychological Safety Framework, emerged in sport contexts around 2010, adapting ideas from organizational psychology. Psychological safety is the shared belief that a team is safe for interpersonal risk-taking—that one can speak up, admit mistakes, ask questions, or challenge ideas without fear of humiliation or punishment.
This framework differs from the cohesion tradition in a crucial way. Cohesion measures attraction and integration: how much members like each other and feel part of the group. Psychological safety targets a different dimension of climate: the willingness to be vulnerable. A team can be highly cohesive—members enjoy each other’s company and feel proud to belong—yet still be psychologically unsafe if mistakes are met with blame or if dissenting opinions are silenced. In sport, psychological safety has become central to understanding learning environments, innovation in tactics, and athlete well-being. Teams that feel safe are more likely to experiment, report injuries honestly, and engage in open communication.
Today, no single framework dominates team dynamics research. The leading frameworks—Collective Efficacy, Team Mental Models, Ecological Dynamics, Shared Leadership, Transformational Leadership, and Psychological Safety—each address a different facet of team functioning, and researchers often combine them in multi-framework studies.
There is broad agreement on several points. First, team dynamics are not static; they shift with context, opponent, and time. Second, no single variable (cohesion, efficacy, or safety) fully explains team performance; multiple mechanisms operate simultaneously. Third, athlete well-being is not separable from team functioning—frameworks increasingly treat psychological health as an outcome and a condition for effective teamwork.
Active disagreements remain. One concerns the unit of analysis: should researchers study the team as a whole, dyadic relationships, or individual perceptions aggregated to the team level? Another disagreement pits cognitive frameworks (team mental models, collective efficacy) against ecological dynamics over whether coordination requires internal representations or can emerge from perception–action coupling. A third debate asks whether leadership is best understood as a deliberate act by a designated person (transformational leadership) or as an emergent property of team interactions (shared leadership). These are not settled questions; they drive current empirical work.
The central question of the subfield has shifted from “How cohesive is this team?” to a richer set of inquiries: How do teams build shared understanding without explicit instruction? When does confidence become overconfidence? What makes a team safe enough to learn from failure? How does leadership move between coach and players as the game changes? The frameworks that have emerged since 1982 have not replaced each other so much as layered new questions onto old ones, each revealing a dimension of team life that earlier models left in shadow.