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深层成分变量作为团队绩效的预测指标:一项元分析。

Deep-level composition variables as predictors of team performance: a meta-analysis.

作者信息

Bell Suzanne T

机构信息

Department of Psychology, DePaul University, Chicago, IL 60614, USA.

出版信息

J Appl Psychol. 2007 May;92(3):595-615. doi: 10.1037/0021-9010.92.3.595.

DOI:10.1037/0021-9010.92.3.595
PMID:17484544
Abstract

This study sought to unify the team composition literature by using meta-analytic techniques to estimate the relationships between specified deep-level team composition variables (i.e., personality factors, values, abilities) and team performance. The strength of the team composition variable and team performance relationships was moderated by the study setting (lab or field) and the operationalization of the team composition variable. In lab settings, team minimum and maximum general mental ability and team mean emotional intelligence were related to team performance. Only negligible effects were observed in lab settings for the personality factor and team performance relationships, as well as the value and team performance relationships. In contrast, team minimum agreeableness and team mean conscientiousness, openness to experience, collectivism, and preference for teamwork emerged as strong predictors of team performance in field studies. Results can be used to effectively compose teams in organizations and guide future team composition research.

摘要

本研究试图通过运用元分析技术来统一团队构成文献,以估计特定深层次团队构成变量(即人格因素、价值观、能力)与团队绩效之间的关系。团队构成变量与团队绩效关系的强度受到研究环境(实验室或实地)以及团队构成变量的操作化的调节。在实验室环境中,团队最低和最高一般智力能力以及团队平均情商与团队绩效相关。在实验室环境中,人格因素与团队绩效的关系以及价值观与团队绩效的关系仅观察到可忽略不计的影响。相比之下,在实地研究中,团队最低宜人性、团队平均尽责性、经验开放性、集体主义以及对团队合作的偏好成为团队绩效的有力预测指标。研究结果可用于有效地组建组织中的团队,并指导未来的团队构成研究。

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