Getting groups to develop good strategies: Effects of reflexivity interventions on team process,team performance,and shared mental models

This study examines the effect of guided reflection on team processes and performance, based on West’s (1996, 2000) concept of reflexivity. Communicating via e-mail, 49 hierarchically structured teams (one commander and two specialists) performed seven 15 min shifts of a simulated team-based military air-surveillance task (TAST) in two meetings, a week apart. At the beginning of the second meeting, teams were assigned either to a reflexivity (individual or group) or to a control condition. Results show that reflexivity enhanced performance, the link between reflexivity and team performance being mediated by communication and implementation of strategies as well as by similarity of mental models. Contrary to expectations, individual reflexivity was superior to group reflexivity. Additional analyses suggested that group reflexivity decreased the commanders’ active behavior and increased discussion of strategies that were too general to be helpful. Results point to the usefulness of reflexivity as a generic intervention but underscore the importance of focusing on strategies that are task-specific.     

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.     

Cooperative outcome interdependence, task reflexivity, and team effectiveness: a motivated information processing perspective

A motivated information processing perspective (C. K. W. De Dreu & P. J. D. Carnevale, 2003; see also V. B. Hinsz, R. S. Tindale, & D. A. Vollrath, 1997) was used to predict that perceived cooperative outcome interdependence interacts with team-level reflexivity to predict information sharing, learning, and team effectiveness. A cross-sectional field study involving management and cross-functional teams (N = 46) performing nonroutine, complex tasks corroborated predictions: The more team members perceived cooperative outcome interdependence, the better they shared information, the more they learned and the more effective they were, especially when task reflexivity was high. When task reflexivity was low, no significant relationship was found between cooperative outcome interdependence and team processes and performance. The author concludes that the motivated information processing perspective is valid outside the confines of the laboratory and can be extended toward teamwork in organizations.     

Information elaboration and team performance: Examining the psychological origins and environmental contingencies

Information elaboration enables functionally diverse teams to transform their breadth of knowledge resources into actionable solutions to complex problems. The current study advances information elaboration theory and research in two ways. First, we identify how team ability and social motivation composition characteristics provide the psychological origins of complex information processing efforts. Second, we identify environmental turbulence as an important boundary condition, clarifying when information elaboration benefits team performance and when it does not. These ideas were tested in a sample of 4-person self-managed teams (N = 68) which were functionally diverse and performed a cooperative strategic decision-making task. Results indicate that cognitive ability equips teams with the “can do” ability for complex elaboration efforts through emergent team mental models, whereas low preferences for self-reliance provide the “will do” motivation for in-depth information exchange through collective leadership. In turn, teams benefited from information elaboration in turbulent but not stable environments.     

Relationships among team ability composition, team mental models, and team performance

This study examined the relationship between the similarity and accuracy of team mental models and compared the extent to which each predicted team performance. The relationship between team ability composition and team mental models was also investigated. Eighty-three dyadic teams worked on a complex skill task in a 2-week training protocol. Results indicated that although similarity and accuracy of team mental models were significantly related, accuracy was a stronger predictor of team performance. In addition, team ability was more strongly related to the accuracy than to the similarity of team mental models and accuracy partially mediated the relationship between team ability and team performance, but similarity did not.     

虚拟团队共享心理模型与团队效能的关系

通过对62个虚拟团队的调研,检验了虚拟团队认同式共享心理模型与分布式共享心理模型构思,并运用多层线性建模技术,对团队特征变量、共享心理模型与虚拟团队效能间的关系进行了分析。结果表明：两类共享心理模型与团队效能间存在显著正相关;团队时间会影响共享心理模型与虚拟团队任务效能间的关系,团队时间会削弱认同式共享心理模型对任务效能间的正向关系,但能加强分布式共享心理模型对任务效能的正面影响;团队规模则主要影响共享心理模型对合作效能的效应,团队规模增加会加强认同式共享心理模型与合作效能间的相关,却会削弱分布式共享心理模型与合作效能间的关系     

The impact of cross-training on team effectiveness

The authors examined the role of cross-training in developing shared team-interaction mental models, coordination, and performance in a 2-experiment study using computer simulation methodology (for Experiment 1, N = 45 teams; for Experiment 2, N = 49 teams). Similar findings emerged across the 2 experiments. First, cross-training enhanced the development of shared team-interaction models. Second, coordination mediated the relationship between shared mental models and team performance. However, there was some inconsistency in the findings concerning the depth of cross-training necessary for improving shared mental models. Results are discussed in terms of the impact of different levels of cross-training on team effectiveness.     

团队作业与团队互动两类共享心智模型的发展特征

共享心智模型指团队成员关于团队作业、策略、团队情境、团队互动等的共同的知识结构,根据内容不同可以分为团队作业模型和团队互动模型两类。该研究通过实验室实验探讨两类共享心智模型的发展特征。132名大学生组成44个3人团队,随机分为团队绩效反馈组和无团队绩效反馈组。采用相似性评定法在团队执行作业前、中、后三次测量两类共享心智模型。结果发现：（1）共享心智模型随团队运作时间增加而发展;（2）团队互动模型形成和发展的难度高于团队作业模型;（3）团队绩效反馈对两类心智模型发展的作用不同,反馈加速了团队作业模型的发展速度,但却是团队互动模型能否得以发展的决定性因素。两类共享心智模型的不同发展特征应归因于两者特异性高低的不同     

Reducing perceived social loafing in virtual teams: The effect of team feedback with guided reflexivity

The aim of this study was twofold. The first aim was to study the effect of an intervention combining team feedback and guided reflexivity on virtual teams' affective outcomes. The second was to examine the mediating role of perceived social loafing in this relationship. An experimental laboratory study was carried out with 54 teams randomly assigned to an experimental condition or a control condition. Results showed that this intervention had an effect on satisfaction with the result, but not on group cohesion and satisfaction with the team. Moreover, perceived social loafing fully mediated the effect of this intervention on group cohesion and partially mediated its effect on satisfaction with the team and the result.     

A temporal common ground for learning: The moderating effect of shared mental models on the relation between team learning behaviours and performance improvement

In this longitudinal study, we integrated a team process and a learning curve perspective on team learning and empirically analysed whether team learning processes lead to performance improvement. In addition, we tested whether this relation is moderated by the similarity of team members’ task, team, and temporal mental models. We tested our model on a sample of 67 teams (314 individuals) competing in a management simulation over five consecutive time periods, using random coefficient modelling (RCM). Our findings suggest that team learning behaviours do not have a direct effect on the team learning curve, but temporal and task mental models are crucial for the translation of team learning behaviours into performance improvement. We found that when teams have similar task and temporal mental models, engaging in team learning processes is beneficial, whereas, when teams have dissimilar task and temporal mental models, it is detrimental to performance improvement. We did not find a significant effect for the moderating role of team mental model similarity. Our study emphasizes the importance of integrating different perspectives on team learning and provides support for the role of team cognition as a catalyst for team learning.     

Learning HMM-based cognitive load models for supporting human-agent teamwork

Cognitive studies indicate that members of a high performing team often develop shared mental models to predict others’ needs and coordinate their behaviors. The concept of shared mental models is especially useful in the study of human-centered collaborative systems that require humans to team with autonomous agents in complex activities. We take the position that in a mixed human-agent team, agents empowered with cognitive load models of human team members can help humans develop better shared mental models to enhance team performance. Inspired by human information processing system, we here propose a HMM-based load model for members of human-agent teams, and investigate the development of realistic cognitive load models. A cognitive experiment was conducted in team contexts to collect data about the observable secondary task performance of human participants. The data were used to train hidden Markov models (HMM) with varied numbers of hypothetical hidden states. The result indicates that the model spaces have a three-layer structure. Statistical analysis also reveals some characteristics of the models at the top-layer. This study can be used in guiding the selection of HMM-based cognitive load models for agents in human-centered multi-agent systems.     

Managing information overload in virtual teams: Effects of a structured online team adaptation on cognition and performance

Information overload (IO) indicates the exchange of too much low-quality information in virtual teams. When being overloaded with information, teams need to adapt and to change communication behaviour. This study introduces and tests a structured online team adaptation (STROTA) procedure that enables virtual teams to reduce IO by improving their team mental model quality. STROTA, built from team adaptation models, is a moderated intervention consisting of three stages: (1) individual situation awareness, (2) team situation awareness, and (3) plan formulation. STROTA was tested in the context of an experimental problem-solving task. Participants (N = 363) worked in virtual teams of three and were randomly assigned to one of four experimental conditions: no STROTA, incomplete STROTA (step 1, steps 1–2), and complete STROTA (steps 1–2–3). We found teams that followed a complete STROTA procedure experienced lessened IO over time. Teams with complete STROTA showed the largest development of TMM immediately after STROTA. Finally, multilevel mediation analyses showed that TMM are mediators that explain the influence of STROTA on IO.     

Establishing team knowledge coordination from a learning perspective

Research has identified the importance of knowledge coordination in high-performing teams. However, little is known on the processes through which these cognitive structures are developed, more specifically on the learning occurring as teams communicate and interact to build new team knowledge. In a multiple-measures experiment, 33 teams with no prior experience in flight simulations were assigned to newly formed dyads to complete 4 successive performance episodes of a flight simulation task, modeling a complex, fast-paced, and high workload task context. The study showed how team learning processes (i.e., team learning behaviors and team reflexivity), driven by task cohesion, and group potency supported coordination development, which in turn predicted team performance.     

The effects of team strategic orientation on team process and information search

We tested the effects of team strategic orientation on team member perceptions, work strategy and information search. In Experiment 1, 80 teams worked on a hidden profile decision-making task. A defensive team strategic orientation increased members’ perceptions of the problem’s scope, leading to a more process-focused work strategy and broader information search compared to an offensive team strategic orientation. When teams needed critical information from the environment, defensive teams outperformed offensive teams; offensive teams performed better when critical information resided within the team. In Experiment 2, these findings were replicated with 92 teams performing a different decision task. When making a second decision, half of the teams were led to change their strategic orientation; teams shifting from offense to defense altered their information search behavior more readily than did teams shifting in the opposite direction, suggesting an asymmetric adaptation effect.     

The interactive effects of person-focused citizenship behaviour,task interdependence,and virtuality on team performance

A multifactorial between-groups experiment examined the effects of person-focused organizational citizenship behaviours (OCBP) on the performance of teams characterized by different levels of virtuality and task interdependence. Results reveal in low virtual teams the moderating effects of task interdependence on the OCBP–team performance relationship are positive; however, these effects are reversed in high virtual teams. Using social presence and task–technology fit theories, our results indicate that task context affects how OCBP impacts team performance, particularly across different levels of team virtuality. The implications for research on OCB and the management of virtual teams are discussed.     

Diversity in goal orientation, team reflexivity, and team performance

Although recent research highlights the role of team member goal orientation in team functioning, research has neglected the effects of diversity in goal orientation. In a laboratory study with groups working on a problem-solving task, we show that diversity in learning and performance orientation are related to decreased group performance. Moreover, we find that the effect of diversity in learning orientation is mediated by group information elaboration and the effect of diversity in performance orientation by group efficiency. In addition, we demonstrate that team reflexivity can counteract the negative effects of diversity in goal orientation. These results suggest that models of goal orientation in groups should incorporate the effects of diversity in goal orientation.     

Team Mental Models,Team Goal Orientations,and Information Elaboration,Predicting Team Creative Performance

This study aimed to enhance understanding of team creativity by investigating the type of team mental models that team members develop during their work on a creative problem solving task. We hypothesized that teams that develop dissimilar team mental models, compared to similar and complementary team mental models, will achieve a higher information elaboration. This effect will be moderated by the development of a high learning-performance team goal orientation. Information elaboration in turn was hypothesized to predict team creative performance. In a 3 (similar/dissimilar/complementary team mental models) × 3 (learning/performance/learning-performance goal orientation) experimental study on a sample of 33 teams (N = 98) we found that teams that developed more dissimilar team mental models and experienced a learning-performance goal orientation intervention engaged in more information elaboration. Information elaboration, in turn, mediated the relationship between the interaction between team mental models and team goal orientations and team creative performance. Implications for research on team mental models and team creativity are discussed.     

共享心理模型的前因变量研究：群体合成特征的视角

以192个被试组成64个三人团队,通过计算机完成团队合成任务,从群体合成特征的视角出发探讨共享心理模型的前因变量。结果表明:团队成员的价值取向合成特征和初始心理模型合成特征对于共享心理模型的形成具有显著的主效应;群体合成特征与合作任务的信息分布特征形成了显著的交互效应,表明共享心理模型的形成存在潜在的信息分布依存性。最后对研究结果在共享心理模型理论研究上的意义和进一步研究的方向进行了讨论。     

复杂任务中共享心智模型间的缓冲作用

共享心智模型（SMM）指队员对于团队的共享心理表征。复杂任务下高的一致性难以获得且易造成小集体意识,SMM的作用在于相互间的调节及共享信念对低一致性的调节作用。为了验证这些假设对9名不同行业创业者进行访谈,对访谈材料进行内容分析得到心智模型关键概念,经过概化理论分析后得到了4个SMM：任务、队友、团队协作以及团队精神。使用心智模型问卷在ERP模拟实验中测量31个团队的绩效和SMM一致性。结果发现团队协作模型一致性是预测绩效的有力指标;团队构成不影响各个SMM一致性;任务模型一致性正向缓冲了团队协作模型一致性对绩效的作用;团队精神模型一致性正向缓冲了团队协作模型一致性对绩效的作用。研究提示SMM对冲突的引导及增进团队成员相互理解方面的作用。     

Team adaptation to an unforeseen system failure: Limits of the potential aids of shared knowledge and standardized communication

The present study investigates the potential benefits of a team’s shared knowledge and standardized communication in adapting to an unforeseen change by combining literature on adaptation and team performance. Each of 20 teams performed a dynamic team task and was suddenly confronted with a simulated partial system breakdown. Results show that a methodological framework designed to describe performance adaptation to an unforeseen change in individuals can also be used to model performance adaptation in teams. The system failure was followed by a performance drop and a subsequent period of gradual performance recovery. Accuracy of teams’ shared knowledge correlated positively with performance before and after the change, confirming and extending the literature on shared mental models. However, the amount of knowledge similarity did not aid teams in adapting to the unforeseen system breakdown. In addition, improving teams’ standardized communication had no damping effect on the sudden performance drop and neither helped them during the subsequent recovery period. These results show that even though shared knowledge and efficient communication are of high value to team performance and success, these characteristics are limited in aiding adaptive team performance after unforeseen unique changes that force team members to update their strategies.