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An underlying assumption in the shared mental model (SMM) literature is that SMMs improve whilst team members work together for longer. However, whether dyad members indeed have higher perceived SMMs with higher shared tenure has not been explored. This study aims to, therefore, firstly, investigate this idea, and we do so by focusing on perceived SMMs at the dyadic level. Secondly, because in today’s fast-paced world perceived SMMs often need to be built quickly for dyads to perform, we assess if goal interdependence can reduce the dyadic tenure required for higher perceived SMM similarity. Thirdly, we analyse if these processes are related to dyadic performance.

We collected a dual-source sample of 88 leader–member dyads across various industries. We conducted PROCESS analyses to test their first-stage moderated mediation model.

Results showed that dyadic tenure was positively related to perceived SMM similarity, and that goal interdependence moderated this relationship. Additionally, perceived SMM similarity mediated the relationship between dyadic tenure and dyadic performance. Lastly, the overall moderated mediation model was supported.

We contribute to the perceived SMM literature by: investigating perceived SMMs in dyads, testing a key idea regarding the influence of dyadic tenure on perceived SMMs and investigating how goal interdependence may prompt perceived SMM similarity earlier in dyadic tenure and, ultimately, improve dyadic performance.

This study explored whether the critical incident management systems (CIMS) model can predict the EMS performance in the COVID-19 context. Past research has established the significance of early detection and response (ER) in the context of Ebola virus disease (EVD), prompting a question of whether the model can also be helpful in the COVID-19 context. Consequently, the authors assessed whether ER influences the impact of communication capacity (CC), reliable information channel (RC) and environment (EN) on COVID-19 EMS performance. Assessing these relationships will advance emerging infectious disease (EID) preparedness.

The authors employed standardized measurement instruments of the CIMS model (CC, ER, RC and EN) to predict the performance of COVID-19 EMS using structural equation modeling (SEM) in a study of 313 participants from frontline responders.

The results show that the relationship of ER and EN with COVID-19 EMS performance is positive, while that of EN on CC is negative. The relationship between EN and COVID-19 EMS performance was insignificant. Contrary to the hypothesis, CC was negatively significant to COVID-19 EMS performance due to poor communication capacities.

The authors acknowledge some limitations due to challenges faced in this study. First, Data collection was a significant limitation as these questionnaires were built and distributed in June 2020, but the response time was prolonged due to the recurring nature of the pandemic. The authors had wanted to implore the inputs of all stakeholders, and efforts were made to reach out to various Ministry of Health, the local CDC and related agencies in the region via repeated emails explaining the purpose of the study to no avail. The study finally used the frontline workers as the respondents. The authors used international students from various countries as the representatives to reach out to their countries' frontline workers. Second, since the study was only partially supported using the CIMS model, future studies may combine the CIMS model with other models or theories. Subsequent research reassesses this outcome in other contexts or regions. Consequently, further research can explore how CC can be improved with COVID-19 and another future EID in the region. This may improve the COVID-19 EMS performance, thereby expanding the lesson learned from the pandemic and sustaining public health EID response. Additionally, other authors may combine the CIMS model with other emergency management models or theories to establish a fully supported theoretical model in the context of COVID-19.

The findings have practical implications for incident managers, local CDCs, governments, international organizations and scholars. The outcome of the study might inform these stakeholders on future direction and contribution to EID preparedness. This study unfolds the impact of lessons learned in the region demonstrated by moderating early detection and responses with other constructs to achieve COVID-19 EMS performance. The findings reveal that countries that experienced the 2013–2016 Ebola outbreak, were not necessarily more prepared for an epidemic or pandemic, judging by the negative moderating impact of early detection and response. However, these experiences provide a foundation for the fight against COVID-19. There is a need for localized plans tailored to each country's situation, resources, culture and lifestyle. The localized plan will be to mitigate and prevent an unsustainable EID management system, post-epidemic fund withdrawals and governance. This plan might be more adaptable and sustainable for the local health system when international interventions are withdrawn after an epidemic. Public health EID plans must be adapted to each country's unique situation to ensure sustainability and constantly improve EID management of epidemics and pandemics in emergency response. The high to moderate importation risk in African countries shows Africa's largest window of vulnerability to be West Africa (Gilbert et al., 2020). Therefore, they should be in the spotlight for heightened assistance towards the preparedness and response for a future pandemic like COVID-19. The West African region has a low capacity to manage the health emergency to match the population capacities. The COVID-19 outbreak in West Africa undoubtedly inflicted many disruptions in most countries' economic, social and environmental circumstances. The region's unique challenges observed in this study with CC and reliable information channels as being negatively significant highlight the poor maintenance culture and weak institutions due to brain drain and inadequate training and monitoring. This outcome practically informs West African stakeholders and governments on aspects to indulge when trying to improve emergency preparedness as the outcomes from other regions might not be applicable.

This study explored the relevance of the CIMS model in the context of the COVID-19 pandemic, revealing different patterns of influence on COVID-19 EMS performance. In contrast to the extant literature on EVD, the authors found the moderating effects of ER in the COVID-19 context. Thus, the authors contribute to the COVID-19 EMS performance domain by developing a context-driven EMS model. The authors discuss the theoretical and practical implications.

The aim of this study is to understand how virtual teams experience perceived proximity. Existing literature suggests that perceived proximity can be achieved through quality communication and increased identification. However, not much is known as to how these two may be achieved within the context of virtual teams.

The authors address their research question through a comparative case study, with the help of two virtual teams of software developers and the authors adopt a subset from the Constructivist Grounded Theory Method procedures for the purposes of coding to understand the potential explanations regarding the two teams' differences in perceptions of perceived proximity.

The authors’ study shows that shared mental models support quality communication and team members to identify with the shared values of their team. Quality communication is easier achieved when the team shares a dynamic and evolving understanding of the tools for communication and collaboration. The authors also draw attention to the importance of how work is organised and the influence of the temporal dimension on virtual teams beyond the temporal organisation of collaborative work.

The value of this study is found in its contribution towards the development of a formal connection between perceived proximity and shared mental models, that is empirically grounded, and which holds an explanatory value in addressing how perceived proximity can be supported rather than compromised.

This qualitative study investigated how small group communication influences the development of shared mental models in a committee of public librarians addressing a problem-solving task. It examines the influence of communication themes, functions, roles, and rules on the group's development of shared mental models about the task and about team interaction. Data were collected over the course of a year from group meetings, email messages, group documents, and participant interviews and then analyzed using existing coding schemes and qualitative coding techniques. The findings indicate that within the group there was a strong superficial convergence around the task mental model and the team interaction mental model but a weaker convergence at a deeper level. Analysis of the group communication data shows that the group focused discussion on understanding the problem and identifying tasks, enacting group roles and rules that facilitated sharing information. The functions of their messages focused on task communication. The findings suggest that, in this group, communication themes most heavily influenced the development of a shared mental model about the task, while communication roles, rules, and functions were more influential toward the development of a shared mental model about team interaction. Implications for practice include adopting intentional tactics for surfacing mental models at various points in the group life and anchoring the emerging model within the collective cognition of the group through devices such as narratives, objects, or documentary materials.

Severe misunderstandings have been proved to cause significant delays and financial overruns in large engineering projects with teams consisting of people from Western and Asian cultures. The purpose of this study was to determine if differences in shared cognition may explain some of the crucial misunderstandings in intercultural production teams.

The study has used systematizing the person–group relationship (SPGR) survey methodology, supported by interviews, to study mental models in six South Korean teams that also includes Norwegian engineers (52 individuals). In so doing, the study uses the theoretical framework of Healey et al. (2015), where X-mental representations involve actions that are automated and subconscious and C-mental representations involve actions that are verbalized reasonings and conscious. People may share mental models on the X-level without sharing on the C-level, depicting a situation where teams are coordinated without understanding why (surface discordance).

The findings of the study are that people with different cultural backgrounds in an intercultural team may learn to adapt to each other when the context is standardized, without necessarily understanding underlying meanings and intentions behind actions (surface discordance). This may create a perception about team members not needing to explicate opinions (sharing at the C-level). This in turn may create challenges in anomalous situations, where deliberate sharing of C-mental models is required to find new solutions and/or admit errors so that they may be adjusted. The findings indicate that the non-sharing of explicated reasonings (C-mental models) between Norwegians and Koreans contributed in sharing C-mental models, despite having an implicit agreement on how to perform standard tasks (sharing X-mental models).

The study is limited to Norwegians and Koreans working in production teams. Future studies could benefit from more cultures and/or different team contexts. The authors’ believe that the findings may also concern other standardized environments and corroborate previous perspectives on intercultural teams needing to both train (develop similar X-mental representations) and reflect together (develop similar C-mental representations).

Based on our findings we suggest the using of cross-cultural training at a deeper level than previously suggested, training in both social interaction patterns as well as verbalizing logical reasoning together. This entails reaching a shared and joint understanding of not only actions but also values, feelings and teamwork functions. This can be enabled by group conversations and training in dynamic team patterns. Important is, however, that standardized contexts may dampen the perception of the need to do both.

The study contributes to current research on intercultural teams by focusing on a dual-mode perspective on shared cognition, relating these to contextual factors. In this, the authors’ answer the call in previous research for more information on contextual matters and a focus on interaction in intercultural teams. The study also shows how the differences between X-mental and C-mental shared mental models play out in a practical setting.

This study aims to take a public goods approach to understand relationships between collecting and contributing knowledge to an online knowledge sharing portal (KSP), mental model processing and outcomes at the individual and collective levels.

This study reports on a survey (N = 602) among tax professionals, examining the perceived individual and collective benefits and costs associated with collecting and contributing knowledge. Hypotheses were tested using structural equation modeling.

Collecting and contributing knowledge led to considerable mental model processing of the knowledge. That in turn significantly influenced (primarily) individual and (some) collective costs and benefits. Results varied by the kinds of knowledge sharing. Whether directly from knowledge sharing, or mediated through mental modeling, the perceived costs and benefits may be internalized as an individual good rather than being interpreted at the collective level as a public good.

The study is situated in the early stages of a wiki-type online KSP. A focus on the learning potential of the system could serve to draw in new users and contributors, heightening perceptions of the public goods dimension of a KSP.

A focus on the learning potential of the system could serve to draw in new users, and thus the number of subsequent contributors, heightening perceptions of the collective, public goods dimension of a KSP.

This study explores how knowledge sharing and mental model processing are directly and indirectly associated with individual and collective costs and benefits. As online knowledge sharing is both an individual and public good, costs and benefits must be considered from both perspectives.

The purpose of this study is to identify inhibitors and enablers of Kaizen event effectiveness, as perceived by participants, and categorize them into shared mental models to understand the factors participants believe to be affecting Kaizen event success. The findings are also interpreted using the lens of attribution bias and previous studies of Kaizen event effectiveness.

A qualitative approach involving coding responses from participants was adopted. The identified significant inhibitors and enablers were then assigned to shared mental model types using a mapping and categorization approach.

The results are largely consistent with previous studies and show that job/task and technology/equipment mental models dominate participant views of inhibitors, while enablers were primarily drawn from team and team interaction mental models. This also suggests that attribution bias is present.

The methods used to measure shared mental models in this study are cross-sectional and exploratory in nature. Future research could involve the intensive study of a smaller number of Kaizen events over time.

The findings in this study can be used by organizations to identify training needs for Kaizen event teams by identifying areas of potential attribution bias, by divergence of perceptions between facilitators and team members and by underestimated factor effects.

This investigation offers understanding of the Kaizen event team shared mental models with respect to inhibitors and enablers of event success. Organizations can harness common perceptions among continuous process improvement teams to increases chances of Kaizen event success.

The research on shared mental models (SMMs) focuses on the importance of all team members holding similar mental models to realize team performance. However, for a perceived decomposable task, it is not required for all team members to have similar mental models to achieve team performance. Moreover, unnecessary overlapping mental models among team members may engender information overloading, translating into suboptimal team performance. Absent from the current literature is an understanding of the factors that determine the minimal overlapping mental models required across specific members for team performance. The purpose of this study is to yield an understanding of these issues.

This study highlights that the requirement to hold similar mental models across specific team members depends on the task decomposition mechanisms used: task complexity and decomposability, subtask assigned and layer, task modularity, workflow interdependence type and tool attributes.

Unlike much prior research which measured the relationship between SMMs and team performance at the team level, our conceptualization suggests that the measurement of SMMs and team performance needs to be conducted across a team and subsets of the team or individuals depending on task complexity and decomposability. This current research offers an important viewpoint regarding when team members need to hold similar mental models to realize task performance.

By suggesting new insights into when mental models should be similar across specific team members, this research also provides understanding of why some empirical SMMs studies do not yield positive relationships between similar SMMs and team effectiveness while others do.