The Effects of Group Composition and Dynamics on Collective Performance.

IF 2.9 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL Topics in Cognitive Science Pub Date : 2024-04-01 Epub Date: 2023-11-05 DOI:10.1111/tops.12706
Abdullah Almaatouq, Mohammed Alsobay, Ming Yin, Duncan J Watts
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Abstract

As organizations gravitate to group-based structures, the problem of improving performance through judicious selection of group members has preoccupied scientists and managers alike. However, which individual attributes best predict group performance remains poorly understood. Here, we describe a preregistered experiment in which we simultaneously manipulated four widely studied attributes of group compositions: skill level, skill diversity, social perceptiveness, and cognitive style diversity. We find that while the average skill level of group members, skill diversity, and social perceptiveness are significant predictors of group performance, skill level dominates all other factors combined. Additionally, we explore the relationship between patterns of collaborative behavior and performance outcomes and find that any potential gains in solution quality from additional communication between the group members are outweighed by the overhead time cost, leading to lower overall efficiency. However, groups exhibiting more "turn-taking" behavior are considerably faster and thus more efficient. Finally, contrary to our expectation, we find that group compositional factors (i.e., skill level and social perceptiveness) are not associated with the amount of communication between group members nor turn-taking dynamics.

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群体构成和动力对集体绩效的影响。
随着组织倾向于基于团队的结构,通过明智地选择团队成员来提高绩效的问题一直困扰着科学家和管理者。然而,哪些个人属性最能预测团队表现,目前还知之甚少。在这里,我们描述了一个预先注册的实验,在这个实验中,我们同时操纵了群体组成的四个广泛研究的属性:技能水平、技能多样性、社会感知能力和认知风格多样性。我们发现,虽然团队成员的平均技能水平、技能多样性和社会感知能力是团队绩效的重要预测因素,但技能水平综合起来主导了所有其他因素。此外,我们探索了协作行为模式与绩效结果之间的关系,发现团队成员之间额外沟通在解决方案质量方面的任何潜在收益都被间接时间成本所抵消,从而导致整体效率降低。然而,表现出更多“轮流”行为的群体速度更快,因此效率更高。最后,与我们的预期相反,我们发现团队组成因素(即技能水平和社会感知能力)与团队成员之间的沟通量无关,也与轮次动态无关。
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来源期刊
Topics in Cognitive Science
Topics in Cognitive Science PSYCHOLOGY, EXPERIMENTAL-
CiteScore
8.50
自引率
10.00%
发文量
52
期刊介绍: Topics in Cognitive Science (topiCS) is an innovative new journal that covers all areas of cognitive science including cognitive modeling, cognitive neuroscience, cognitive anthropology, and cognitive science and philosophy. topiCS aims to provide a forum for: -New communities of researchers- New controversies in established areas- Debates and commentaries- Reflections and integration The publication features multiple scholarly papers dedicated to a single topic. Some of these topics will appear together in one issue, but others may appear across several issues or develop into a regular feature. Controversies or debates started in one issue may be followed up by commentaries in a later issue, etc. However, the format and origin of the topics will vary greatly.
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