The role of leadership in shared mental model convergence and team performance improvement: An agent-based computational model

Research in shared mental models has immeasurably aided our understanding of effective teamwork and taskwork. However, little research has focused on the role that leaders play, if any, in influencing, developing and/or fostering shared mental models and thereby improving team performance. We developed an agent-based computational model based on McComb's theory of three-phase mental model development, where agents repeatedly share individual opinions (orientation phase), evaluate and respond to the opinions expressed by others (differentiation phase), and modify their understanding of the team based on the responses (integration phase). Leadership and team properties are represented in three experimental parameters: social network structure, heterogeneity of agents' domains of expertise, and level of their mutual interest. Participative leadership is represented by a fully connected network, while Leader–Member eXchange (LMX) is represented by a fully connected network of in-group members and several out-group members connected only to the leader. Our simulation results show that, in general, participative leadership promotes mental model convergence better than LMX. In the meantime, the team performance improvement is achieved by participative leadership only when members have both heterogeneous domains of expertise and strong mutual interest. In all other conditions, participative leadership causes the worst degradation of team performance through team development processes, while LMX is the best to minimize such team degradation. Implications and suggestions for future research are provided.     

Leading teams over time through space: Computational experiments on leadership network archetypes

A key function of team leadership is building and sustaining shared mental models. Topological approaches to leadership identify structural patterns, such as decentralized and shared leadership that empower members to collectively lead themselves toward important goals, but an open question is the particular form of leadership that best promotes team mental models. We explored 8 leadership archetypes using a computational model fit on data from a unique sample of NASA analog space crews. Data from 4, 4-member crews living and working together for 45-days were used to parameterize the model which then accurately predicted mental models for the next set of 4-member crews. The validated model was used to conduct virtual experiments exploring the effects of leadership structures on mental models. We found shared leadership has the largest effect on shared mental models, followed by hierarchical and coordinated leadership. These findings extend shared leadership theory leveraging computational methods to examine leadership archetypes and suggest propositions about how they shape team functioning over time.     

The shared leadership of teams: A meta-analysis of proximal,distal, and moderating relationships

The current meta-analysis examines the relationship between shared leadership and team performance. It also assesses the role of team confidence (i.e., collective efficacy and team potency) in this relationship. Mediation analyses supported the hypothesis that team confidence partially mediates the effects of shared leadership on team performance. We also found support for the notion that shared leadership explains unique variance in team performance, over and above that of vertical leadership. Furthermore, a variety of substantive continuous and categorical variables were investigated as moderators of the shared leadership–team performance relationship. Specifically, the relationship between shared leadership and team performance was moderated by task interdependence, team tenure, and whether performance was objectively versus subjectively measured. Finally, results suggest that the approach used when measuring shared leadership can also play a role in the observed validity. Theoretical and practical implications of these findings are discussed.     

A proposed methodology for the prediction of mental workload, based on engineering system parameters

In the design of engineering systems, mental workload is one of the most important factors in the allocation of cognitive tasks. Current methods of task allocation have criteria that are defined in only general terms and are thus not very useful in aiding detailed decision-making in system design. Whilst there are many quantitative criteria available to determine the physical space in human-machine interaction, system designers really require an explicit model and specific criteria for the following identification of the mental workload imposed by the system; prediction of both human and system performance; evaluation of the alternatives of system design; and the design of system components. It is argued that the available methods of workload or performance are either too domain-dependent to apply to the design of other systems, or subject-dependent and thus do not reflect the objective workload imposed by the system. The presented research adopts a new approach to cognitive task analysis in dynamic decision-making systems. Based on the characteristics derived from task analysis, a general conceptual model of the prediction of mental workload in system design is proposed. In the new model, workload is represented by a set of system parameters—task arrival rate, task complexity, task uncertainty, and performance requirements—which are considered to be the main sources of workload. In this context, workload becomes an objective demand of engineering systems, independent of any subjective factors. Whether an individual or population is overloaded depends upon their workload threshold with respect to the specified task and environment. It is hoped that this new model, after both laboratory and industrial validation, could be used by system designers to predict the workload imposed on people by systems.     

MBA学生团队学习效果及影响因素研究

团队学习是管理教育中普遍存在的教学方式。以158名M BA学生组成的35个学习团队为样本,侧重探讨团队内部的认知活动和人际互动的质量对团队学习效果的影响。研究结果发现:团队成员间的沟通质量影响团队共享心智模型的建立,从而影响团队学习效果;团队成员中搭便车的行为会对团队成员的满意度产生消极影响,并降低团队学习效果;团队成员在学习中沟通和人际互动的质量会影响到学习之外的友谊关系。     

Group leadership and shared task representations in decision making groups

The development of adequate shared understanding of the task is of critical importance to group functioning. Group leaders play an important role in this respect, as a key function of leadership is to shape group members' understanding of their job. In the present study we focus on decision making groups with distributed information and examine how group leaders shape members' mental representations of the group decision task through leadership behavior rooted in their own representations of the task. We propose that the extent to which the group leader has task representations that emphasize information exchange and integration affects group members' task representations, group information elaboration, and decision quality. We tested these hypotheses in an experiment (N = 94 three-person groups) in which we manipulated whether a group leader was present and whether this leader held representations emphasizing information elaboration. Results supported the hypotheses, and suggest that team leaders may play an important role in creating a socially shared understanding of team tasks.     

研发团队共享领导力行为的产生和对创新绩效的作用：基于垂直领导力的影响

 共享领导力是提高多元性、知识型的组织绩效的有效方式，但已有对研发组织领导力理论的研究大都侧重于垂直领导力对创新的影响，对共享领导力关注不足，而共享领导力作为一种随着团队发展而动态形成的领导力类型，已被证明是提高多元性、知识型组织绩效的有效方式；目前将共享领导力作为整体概念的研究思路能从宏观视角把握其作用机制，但不足以从微观层面揭示共享领导力的动态性的产生和作用。        基于领导力行为理论，从7个行为维度对共享领导力和垂直领导力进行解构，考虑垂直领导力的影响，从微观层面研究共享领导力的产生及对创新绩效的作用。运用访谈和参与性观察对4个研发团队进行全生命周期数据收集，通过多案例研究方法和规范的质性分析技术探究共享领导力行为在团队不同发展阶段的形成过程，以及垂直领导力行为对该形成过程的影响。区分创新绩效中的过程绩效、产品绩效和学习绩效，进一步揭示共享领导力和垂直领导力在促进不同创新绩效过程中发挥的不同作用。        研究结果表明，共享领导力不同行为的产生既直接依赖于垂直领导力，又通过依存环境间接依赖于垂直领导力；共享领导力的不同行为并非一次性形成，而是分别产生于团队生命周期的不同阶段，即在团队构建期首先形成跨边界领导行为，在成员磨合期形成激励行为和关怀行为，在规范执行期形成授权行为和变革领导行为；共享领导力行为的这种动态性决定了其直接作用于团队创新的学习绩效和产品绩效，对过程绩效没有直接作用，而垂直领导力行为则对过程绩效具有直接促进作用，并通过共享领导力间接作用于学习绩效。        在理论层面，从共享领导力行为角度分析其产生和作用，从微观层面挖掘其动态特性，解释了共享领导力和垂直领导力在促进创新绩效过程中的替代和互补关系，从而完善共享领导力的动态概念理论，也为后续的动态研究提供新思路。在实践层面，为研发团队管理中依据团队不同阶段和不同类型的创新绩效需求发展不同的共享领导力行为提供理论支持。     

Review and reappraisal of modelling and predicting mental workload in single- and multi-task environments

The concept of mental workload has long been recognized as an important factor in individual performance within complex systems. It is documented that either overload or underload may degrade performance, and further affect the efficiency of the whole system. Therefore, systems designers need some explicit models to predict the mental workload imposed on individuals by the system at an early design phase so that alternative system designs can be evaluated. In examining mental-workload literature, it is found that few predictive mental-workload models have considered factors specific to individuals. This research aims to develop a practical framework for predicting mental workload in both single- and multi-task environments considering such individual factors. In order to describe mental workload more precisely and more completely, a framework for mentalworkload definitions, which contains instantaneous workload, average workload, accumulated workload, peak workload and overall workload, is proposed. In order to model individual factors, two new variables, i.e. effective workload and ineffective workload, are introduced to model the taskgenerated workload and individual-generated workload. The extension of the model to multi-task environments is also discussed. The proposed conceptual models are domain-independent and could be used to guide the development of operational models for different specific tasks.     

Path to “Stardom” in Globally Distributed Hybrid Teams: An Examination of a Knowledge‐Centered Perspective using Social Network Analysis

Although distributed teams have been researched extensively in information systems and decision science disciplines, a review of the literature suggests that the dominant focus has been on understanding the factors affecting performance at the team level. There has however been an increasing recognition that specific individuals within such teams are often critical to the team's performance. Consequently, existing knowledge about such teams may be enhanced by examining the factors that affect the performance of individual team members. This study attempts to address this need by identifying individuals who emerge as “stars” in globally distributed teams involved in knowledge work such as information systems development (ISD). Specifically, the study takes a knowledge‐centered view in explaining which factors lead to “stardom” in such teams. Further, it adopts a social network approach consistent with the core principles of structural/relational analysis in developing and empirically validating the research model. Data from U.S.–Scandinavia self‐managed “hybrid” teams engaged in systems development were used to deductively test the proposed model. The overall study has several implications for group decision making: (i) the study focuses on stars within distributed teams, who play an important role in shaping group decision making, and emerge as a result of a negotiated/consensual decision making within egalitarian teams; (ii) an examination of emergent stars from the team members’ point of view reflects the collective acceptance and support dimension decision‐making contexts identified in prior literature; (iii) finally, the study suggests that the social network analysis technique using relational data can be a tool for a democratic decision‐making technique within groups.     

Inside Management Teams: Developing a Teamwork Survey Instrument

This article reports the development of a measure of teamwork for use with management teams. A five‐stage process was followed. First, a model of teamwork including team processes was generated through empirical research involving the elicitation of 600 team performance constructs from members of management teams and from theoretical considerations. Second, items were written to operationalize the model. Third, data from 220 members of management teams working in private‐ and public‐sector organizations were factor analysed in order to establish the scale structure of the instrument. Fourth, data from a second sample of 16 complete management teams were collected in order to assess within‐team properties of the instrument. Lastly, convergent and criterion‐related validity were assessed. The resulting ‘Teamwork Survey’, is a 7‐scale, 36‐item general‐purpose questionnaire that can be used in further research and in consulting interventions.     

The Role of Existing Knowledge in New Product Innovativeness and Performance

The purpose of this study is to provide a more thorough assessment of the link between existing knowledge and organizational performance than currently exists in the literature. We identify factors and processes influential in the management of existing knowledge within the areas of learning culture, knowledge building, and organizational performance. Through structural equation modeling, a more thorough examination is given of the role existing knowledge plays in new product performance and innovativeness. In completing this task, we provide insight into the subprocesses of knowledge building by evaluating the influence of shared interpretation and two aspects of information acquisition—efficiency and degree of innovativeness of newly acquired information—on new product development (NPD) outcomes. Included in the examination of these processes are organizational culture and structure characteristics believed to influence knowledge management success.     

知识型团队动态能力构建、团队体系模型与创新运作模式研究

知识型团队是现代组织执行复杂创新任务的重要组织形式.本文从分析知识型团队与知识工作任务的匹配关系入手,在引入知识链及知识链网络等概念的基础上,探讨了基于知识链的知识型团队的动态能力构建机制,分析了围绕知识链网络的知识团队结构体系模型及创新运作机理.     

Development and Measurement Validity of a Task-Technology Fit Instrument for User Evaluations of Information System

Although many researchers have raised concerns about the lack of theoretical underpinnings for the user evaluation construct and the lack of measurement validity for specific instruments measuring it, the construct is still widely used in IS research. This paper reports on the development and measurement validity of a diagnostic tool used in recently published research to evaluate an organization's overall information systems and services. A distinctive feature of this instrument is that it is conceptually based on the task-technology fit theory in which the correspondence between information systems functionality and task requirements leads to positive user evaluations, and positive performance impacts. Specifically, the instrument development was guided by a task model of managerial decision making using recorded organizational information. This model suggested the different information systems functionalities required by users for that task, which then serve as the basis for a “task-technology fit” (TTF) instrument. The instrument thus measures the degree to which an organization's information systems and services meet the information needs of its managers. An extensive test of the measurement validity of the instrument is conducted using a sample of 357 users in 10 companies. It is found to have excellent reliability and discriminant validity for 12 dimensions of TTF, and also exhibits strong predictive validity. Finally, the instrument is compared to two other well-known user evaluation instruments. Though no single instrument can meet all needs, the instrument presented here should be considered an attractive option for researchers and practitioners seeking to measure the effectiveness of organizational information systems.     

Exploring team mental model dynamics during strategic change implementation in professional service organizations. A sensemaking perspective

The purpose of this paper is to provide a deeper process understanding of team mental model dynamics in a context of strategic change implementation. To do so, we adopt a change recipient sensemaking perspective with the objective to identify salient determinants of team mental model dynamics. We aim to contribute to the managerial and organizational cognition literature by identifying critical micro-foundations that shape team cognition and interpretation processes during strategic change implementation. This adds to the field’s understanding of the under-researched collective dimension of strategic processes in general and strategic change implementation more specifically. Through an explorative case study conducted at a professional service organization, we identified five determinants of team mental model dynamics: coherence between ostensive and performative aspects of organizational routines, equivocality of expectations, dominance of organizational discourse, shifts in organizational identification and cross-understanding between departmental thought worlds. Case findings reveal that implementation processes of strategic change become intricate and difficult if change recipient sensemaking is not effectively acted upon. The five determinants identified require adequate managerial attention in order to avoid slipping into organizational inertia. As a consequence, professional workers are unable to ‘drop their tools’ and fail to integrate the strategic change effort in updated team mental models.     

不同主体层次中组织知识转化的影响因素研究

基于不同主体层次中组织知识转化的影响因素及其研究假设,采用向每个样本企业发放三份调查问卷的方式获得相关的数据,进行深入地实证分析发现:需求-激励-联系是影响组织知识转化的最主要因素,信任和学习起到一种调节及保障的作用,而我国企业的组织知识嵌入程度不高;不同所有制企业之间在组织知识转化影响因素上不存在显著差异,但是各主体层次中的知识转化过程差异性显著;需求-激励-联系和学习对各个主体层次中知识转化都具有显著的正向影响,信任对个人层次知识转化具有显著的正向影响,而对团队和组织层次知识转化没有显著影响,嵌入对各主体层次知识转化都没有任何的显著影响。     

Team incentives,task assignment,and performance: A field experiment

The performance of a work team commonly depends on the effort exerted by the team members as well as on the division of tasks among them. However, when leaders assign tasks to team members, performance is usually not the only consideration. Favouritism, employees' seniority, employees' preferences over tasks, and fairness considerations often play a role as well. Team incentives have the potential to curtail the role of these factors in favor of performance — in particular when the incentive plan includes both the leader and the team members. This paper presents the results of a field experiment designed to study the effects of such team incentives on task assignment and performance. We introduce team incentives in a random subsets of 108 stores of a Dutch retail chain. We find no effect of the incentive, neither on task assignment nor on performance.     

不同主体层次中组织的知识转化二维结构:前因变量与企业绩效的影响

企业价值的增长越来越依赖于所拥有的组织知识,但是不同主体层次中组织知识的转化及其所带来的绩效决定了组织中员工绩效、团队绩效和组织绩效的水平。本文首先根据对国内外研究文献的归纳和整理,分析了组织知识转化的各主体层次性及其相应层次的前因变量,构建了不同主体层次中组织的知识转化及其前因变量与企业绩效的影响理论模型和研究假设,通过文献回顾、访谈、半开放式问卷、预调查等方法设计出相关问卷,并利用问卷调查所获得的数据,通过探索性因子分析和验证性因子分析方法分析各主体层次知识转化的二维结构,采用结构方程模型对个人、团队和组织特征变量对个人、团队和组织层次的知识转化及其员工绩效、团队绩效和组织绩效的影响进行了探讨。最后,本文基于企业现实情况对其研究结果进行了详细的分析与讨论,并提出了研究局限性以及未来研究方向。     

创业导向与创新绩效：高管团队特征和市场动态性的影响

创业导向对创新绩效的提升具有重要的影响,但创业导向与创新绩效的关系还可能受高管团队特征和市场动态性的影响。根据基于注意力的观点,对创业导向、创新绩效、高管团队的异质性、高管团队的共同愿景和市场动态性的关系进行研究,探讨高管团队的异质性和共同愿景对创业导向与创新绩效关系的调节作用,并进一步研究这种调节作用是否受市场动态性的影响。利用在广东、江苏、山东、陕西和河南5地收集的264份调查问卷,采用多元线性回归和调节效应的检验方法对研究假设进行实证检验。研究结果表明,创业导向对创新绩效有正向促进作用,高管团队的异质性有助于加强创业导向与创新绩效的关系。在稳定的市场环境下,高管团队的异质性对创业导向与创新绩效关系的调节效应更强;在不考虑环境动态性和环境动态性较低的情况下,高管团队的共同愿景对创业导向与创新绩效关系的调节效应不显著,但在动态性较高的市场环境下,可以显著地正向调节创业导向与创新绩效的关系。     

Mind the gap: The role of leadership in multiteam system collective cognition

The increasing prevalence of team-based organizations places a premium on leadership that will “mind the gap” and enable smooth synchronization of activities across multiple distinct teams. Prior work shows that leaders can be trained to directly facilitate between-team coordination processes. Yet, relatively little is known about the intervening psychological mechanisms that enable between-team coordination. Here, we advance multiteam-interaction mental models—cognitive structures containing knowledge of appropriate between-team activities—as one mechanism that facilitates coordination among multiple teams. We use leader and team cognition data gathered in DeChurch and Marks' (2006) MTS study to test these ideas. Results reveal leaders' multiteam-interaction mental model accuracy “transfers” to teams through strategic communication, and leader strategic communication enables between-team coordination by promoting accuracy in followers' mental models. This study highlights the importance of leadership for developing collective cognition that allows teams to “scale up” from small stand-alone teams to larger and more complex systems.     

Unpacking Team Familiarity: The Effects of Geographic Location and Hierarchical Role

Examination of team productivity finds that team familiarity, i.e., individuals' prior shared work experience, can positively impact the efficiency and quality of team output. Despite the attention given to team familiarity and its contingencies, prior work has focused on whether team members have worked together, not on which team members have worked together, and under what conditions. In this paper, I parse overall team familiarity to consider effects of geographic location and the hierarchical roles of team members. Using data on all software‐development projects completed over 3 years at a large Indian firm in the global outsourced software services industry, I find that team familiarity gained when team members work together in the same location has a significantly more positive effect on team performance compared with team familiarity gained while members were collaborating in different locations. Additionally, I find that hierarchical team familiarity (a manager's experience with front‐line team members) and horizontal team familiarity (front‐line team members' experience gained with one another) have differential effects on project team performance. These findings provide insight into the relationship between team experience and team performance.