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Selecting and Classifying the Good Sailor Exploring the Non-Cognitive Predictors of Expert Team Performance in Complex Technological Contexts

机译:选择和分类好水手探索复杂技术背景下专家团队绩效的非认知预测因子

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The research used the C-TEAM computer microworld to investigate non- cognitive factors that are associated with effective team performance in complex technological environments. Sixteen four-person teams were longitudinally tracked over a six-week period whilst they performed an air-traffic control task of varying complexity. Results indicated that personality characteristics, specifically conscientiousness, predict team performance, but that this relationship is moderated by the aggregation method. Contrary to most research and theory, our data indicated that team cohesiveness is an outcome, not a predictor, of team performance. Results also Indicated that teams performed better when they developed cohesive, task-specific mental models. The current data is being used to further investigate the competencies and non-cognitive factors that are associated with distributed team performance in digital environments.

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