Leadership in multiteam systems.

This study examined 2 leader functions likely to be instrumental in synchronizing large systems of teams (i.e., multiteam systems [MTSs]). Leader strategizing and coordinating were manipulated through training, and effects on functional leadership, interteam coordination, and MTS performance were examined. Three hundred eighty-four undergraduate students participated in a laboratory simulation modeling a 3-team MTS performing an F-22 battle simulation task (N = 64 MTSs). Results indicate that both leader training manipulations improved functional leadership and interteam coordination and that functional leader behavior was positively related to MTS-level performance. Functional leadership mediated the effects of both types of training on interteam coordination, and interteam coordination fully mediated the effect of MTS leadership on MTS performance. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Building team adaptive capacity: The roles of sensegiving and team composition.

The current study draws on motivated information processing in groups theory to propose that leadership functions and composition characteristics provide teams with the epistemic and social motivation needed for collective information processing and strategy adaptation. Three-person teams performed a city management decision-making simulation (N=74 teams; 222 individuals). Teams first managed a simulated city that was newly formed and required growth strategies and were then abruptly switched to a second simulated city that was established and required revitalization strategies. Consistent with hypotheses, external sensegiving and team composition enabled distinct aspects of collective information processing. Sensegiving prompted the emergence of team strategy mental models (i.e., cognitive information processing); psychological collectivism facilitated information sharing (i.e., behavioral information processing); and cognitive ability provided the capacity for both the cognitive and behavioral aspects of collective information processing. In turn, team mental models and information sharing enabled reactive strategy adaptation. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

The cognitive underpinnings of effective teamwork: A meta-analysis.

Major theories of team effectiveness position emergent collective cognitive processes as central drivers of team performance. We meta-analytically cumulated 231 correlations culled from 65 independent studies of team cognition and its relations to teamwork processes, motivational states, and performance outcomes. We examined both broad relationships among cognition, behavior, motivation, and performance, as well as 3 underpinnings of team cognition as potential moderators of these relationships. Findings reveal there is indeed a cognitive foundation to teamwork; team cognition has strong positive relationships to team behavioral process, motivational states, and team performance. Meta-analytic regressions further indicate that team cognition explains significant incremental variance in team performance after the effects of behavioral and motivational dynamics have been controlled. The nature of emergence, form of cognition, and content of cognition moderate relationships among cognition, process, and performance, as do task interdependence and team type. Taken together, these findings not only cumulate extant research on team cognition but also provide a new interpretation of the impact of underlying dimensions of cognition as a way to frame and extend future research. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Measuring shared team mental models: A meta-analysis.

Although shared team mental models are believed to be important to team functioning, substantial interstudy differences in the manner in which mental models are operationalized has impeded progress in this area. We use meta-analysis to cumulate 23 independent studies that have empirically examined shared mental models (SMMs) in relation to team process and performance and test three aspects of measurement as potential moderators: elicitation method, structure representation, and representation of emergence. Results indicate the way in which SMMs are measured and represented at the team level of analysis reveal meaningful distinctions in observed relationships. Specifically, shared mental model operationalization impacts the observed relationship between SMMs and team process; importantly, only methods that model the structure or organization of knowledge are predictive of process. Conversely, while the magnitude of the relationship differed across measurement method, SMMs were positively related to team performance regardless of the manner of operationalization. In summary, knowledge structure is predictive of team process, and both knowledge content and structure are predictive of team performance. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Information sharing and team performance: A meta-analysis.

Information sharing is a central process through which team members collectively utilize their available informational resources. The authors used meta-analysis to synthesize extant research on team information sharing. Meta-analytic results from 72 independent studies (total groups = 4,795; total N = 17,279) demonstrate the importance of information sharing to team performance, cohesion, decision satisfaction, and knowledge integration. Although moderators were identified, information sharing positively predicted team performance across all levels of moderators. The information sharing–team performance relationship was moderated by the representation of information sharing (as uniqueness or openness), performance criteria, task type, and discussion structure by uniqueness (a 3-way interaction). Three factors affecting team information processing were found to enhance team information sharing: task demonstrability, discussion structure, and cooperation. Three factors representing decreasing degrees of member redundancy were found to detract from team information sharing: information distribution, informational interdependence, and member heterogeneity. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Teamwork in Multiteam Systems.

The authors examined how networks of teams integrate their efforts to succeed collectively. They proposed that integration processes used to align efforts among multiple teams are important predictors of multiteam performance. The authors used a multiteam system (MTS) simulation to assess how both cross-team and within-team processes relate to MTS performance over multiple performance episodes that differed in terms of required interdependence levels. They found that cross-team processes predicted MTS performance beyond that accounted for by within-team processes. Further, cross-team processes were more important for MTS effectiveness when there were high cross-team interdependence demands as compared with situations in which teams could work more independently. Results are discussed in terms of extending theory and applications from teams to multiteam systems. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Mental model metrics and team adaptability: A multi-facet multi-method examination.

This paper empirically examines the convergent, discriminant, and predictive validity of three team mental model measurement approaches. Specifically, this study measures the similarity (MM-similarity) and quality (MM-quality) facets of team strategy-focused mental models using structural networks, priority rankings, and importance ratings. The convergent and divergent relationships among the three mental model metrics are then examined via a multi-facet multi-method matrix. Finally, the relative utility of each metric for understanding the relationships between team mental models, team adaptability, and decision effectiveness are compared. The study was conducted in a laboratory setting, modeling 56 four-person decision-making teams. Results indicate little convergent and extensive discriminant validity across the three mental model metrics. In addition, only mental models measured using the structural networks metric were found to have predictive validity in relation to team adaptation and performance. The quality and similarity of team structural networks were found to have interactive effects in relation to adaptation such that mental model quality was most strongly related to adaptation for teams with low mental model similarity and unrelated to adaptation for teams with high similarity. In turn, adaptation was critical for team decision effectiveness. (PsycINFO Database Record (c) 2010 APA, all rights reserved)