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This study aims to identify an antecedent that hinders knowledge sharing, namely, the perceived climate of Cha-xu. Based on the social exchange perspective, the authors propose a theoretical model that links the perceived climate of Cha-xu to employee knowledge sharing. This model focuses on the mediating role of two types of trust (vertical and horizontal trust) and the moderating role of task interdependence in influencing the mediation.

Using a sample of 509 Chinese employees, this study carried out a survey on an online platform. This study developed a structural equation model and tested the moderated mediation hypothesis by using Mplus 8.0.

The results showed that two types of trust act as mediators in the relationship between the perceived climate of Cha-xu and knowledge-sharing processes. The mediating effect of horizontal trust is stronger. Most significantly, findings show that this mediated relationship is contingent on the level of task interdependence.

This paper provides evidence for distinguishing vertical trust and horizontal trust in the field of knowledge management. From a managerial perspective, this study identifies traditional cultural factors for hindering knowledge-sharing processes within Chinese organizations.

As digital spaces for team collaboration, virtual worlds bring considerable verisimilitude to technology-mediated social interaction and change the process of traditional team learning. The purpose of this study is to understand how to promote collaborative learning in virtual worlds by leveraging the power of we-intention to participate in virtual worlds. The authors further use the valence–instrumentality–self-efficacy–trust model (VIST) model as a means of understanding the formation of we-intention to participate in virtual worlds, during which behavioral desire serves a bridging role.

The authors tested the research model using the data gathered from 298 users of a prominent form of virtual world, i.e. massively multiplayer online role-playing games. The authors used the structural equation modeling approach and the partial least squares technique for data analysis.

Results show that the four factors of the VIST model (i.e. valence on team goals, instrumentality of contribution, self-efficacy in team tasks and trust in team members) all positively influence we-intention to participate in virtual worlds through behavioral desire for team actions. We-intention to participate in virtual worlds further exerts a stronger positive effect on collaborative learning in virtual worlds, compared with I-intention to participate in virtual worlds.

This work advances the information systems literature by introducing a relevant and important concept, i.e. we-intention, to explain collaborative learning in virtual worlds. This study especially compared the effect of we-intention and I-intention on collaborative learning in virtual worlds. The results of this work also provide practitioners with insights into the role of we-intention in promoting collective actions in virtual worlds.

The gender composition of teams remains an important yet complex element in unlocking the success of collaboration and performance in the metaverse. In this study, the authors examined the collaborations of same- and mixed-gender dyads to investigate how gender composition influences perceptions of the dyadic collaboration process and outcomes at both the individual and team levels in the metaverse.

Drawing on expectation states theory and social role theory, the authors hypothesized differences between dyads of different gender compositions. A blocked design was utilized where 432 subjects were randomly assigned to teams of different gender compositions: 101 male dyads, 59 female dyads and 56 mixed-gender dyads. Survey responses were collected after the experiment.

Multilevel multigroup analyses reveal that at the team level, male dyads took on the we-impress manifestation to increase satisfaction with the team solution. In contrast, female and mixed-gender dyads adopted the we-work-hard-on-task philosophy to increase satisfaction with the team solution. At the individual level, impression management is the key factor associated with trust in same-gender dyads but not in mixed-gender dyads.

As one of the pioneering works on gender effects in the metaverse, our findings shed light on two fronts in virtual dyadic collaborations. First, the authors offer a theoretically grounded and gendered perspective by investigating male, female and mixed-gender dyads in the metaverse. Second, the study advances team-based theory and deepens the understanding of gender effects at both the individual and team levels (multilevel) in a virtual collaboration environment.

This study aims to focus on model development to analyse key factors affecting trust in virtual project teams (VPTs).

A questionnaire survey was conducted on construction professionals participating in virtual teams. Structural equation modelling technique was performed to establish the effect of relevant factors on trust-building in VPTs.

Team performance is highly affected by the trust among the team members. Trust building can be enhanced by improving the quality of team communication, organisation culture, team bonding and team members’ characteristics.

The model developed in this study would benefit team productivity and team members’ learning in VPTs.

While scholarly attention has mainly focused on team-level or relational constructs for the success of team performance, understanding the inter-play between these two streams of research remains limited in digital transformation projects. Borrowing from social exchange theory, this study aims to explore the antecedents of team alignment leading to team performance with mediation effects of trust, commitment and customer–service provider relationship. The moderating role of relationship length was also examined.

Data was collected using a survey of 180 employees working on digital projects in B2B context, mostly in the Indo-Pacific region, specifically Singapore, Indonesia, Malaysia and India. Partial least squares method with multi-group analyses and bootstrapping method were used to analyze the data.

Findings show that customer control and team capability are the strongest antecedents of team alignment, and inter-play between the customer–provider relationship with team-level constructs is also significant. Relationship length has higher level of moderation impact on trust–team performance link compared to commitment–team performance relationship.

The study considers moderation impact of relationship length on trust, commitment and team performance but not other constructs. Also, gender ratio is skewed in the data set.

Digital transformation practitioners need to be aware of relational constructs (not only team-level constructs) when designing successful long-term digitalization strategies for organizations.

This study is one of the first to document the inter-play between team alignment and relational constructs (such as trust, commitment, and customer–service provider relationship), with moderation impact of relationship length leading to team performance in digital transformation projects.

Researchers explore the impact of an intelligent assistant in virtual teams by applying the theoretical lens of a transactive memory system (TMS) to understand the relationships between trust in a specific technology, knowledge sharing and knowledge application.

An online survey was administered to a Qualtrics-curated panel of individual, US-based virtual team members utilizing an intelligent assistant with team collaboration software. Partial least squares structural equation modeling (PLS-SEM) was utilized to examine the hypothesized relationships of interest.

Results suggest that knowledge application is strongly influenced by trust in a specific technology and knowledge sharing. Additionally, a transactive memory system positively increases trust in the intelligent assistant, and similarly, trust in the intelligent assistant has a significant positive relationship with knowledge sharing.

The research model contributes to our understanding of the impact of an intelligent assistant in virtual teams. Although the transactive memory system construct has been explored in various contexts and models, few have explored the impact of an intelligent assistant and trust in a specific technology.

This study examined employees’ experiences of remote work and the impact of remote work on working life.

This was a mixed-methods study undertaken in three Finnish nonprofit firms. In total, 1,154 respondents took part during the first and second COVID-19 waves in Finland.

COVID-19 remote working saved employees’ and businesses’ financial resources; increased job satisfaction, firms’ performances and employee employment opportunities; and positively affected organizations’ trust outcomes. This study found that female team leaders were significantly more likely than male team leaders to trust team members’ data protection abilities. In addition, remote work can reduce climate pollution. Remote work during the COVID-19 pandemic also affected the social lives of the employees and work relationships and led to a reduction in physical activity levels and work overload.

The main theoretical contributions of this study are the identification of remote working characteristics during the COVID-19 pandemic, positive/negative outcomes of remote working, and further forms measurable propositions. This study contributes to the change management literature and opens up new avenues for future research.

This study can help managers to better understand and lead employees at a time when significant numbers continue to work remotely. Continued work in this field is important because organizations are required to be agile in a changing operating work environment. Given that home-based work has become the new normal, organizations may need to update their data protection rules and address organizational trust issues.

Social effects can be seen as an increased understanding of the effects of remote work in the colleague network. Although remote work suits many employees, they also wish to see their colleagues occasionally. Thus, a mix of remote work with some in-office time may be a more attractive option than remote work only.

The integrated multidimensional framework applied in this study is based on research findings. The framework is dynamic and can be further expanded with new findings, serving as a theoretical basis to guide future research.

Focusing on the social influence processes in the context of massively multiplayer online role-playing games (MMORPGs), this study aims to investigate the nomological network of social influence factors, a topic seldom explicitly articulated in the literature in this unique context.

This study adopts a mixed-methods approach to develop and test a context-specific model of social influence processes in MMORPGs. First, the authors conducted qualitative interviews with MMORPG players to identify the drivers shaping players' perceptions of social influences. Second, the authors formulated and tested a research model with quantitative data collected from 450 respondents of an online survey.

Through the qualitative study, the authors identify leader enthusiasm, social support and social presence as the critical drivers of social influence factors. The result of the quantitative study validates the influences of the critical drivers and demonstrates the impact of social influences on MMORPG players' we-intention to continue playing games.

This research extends the social influence theory by identifying contextualized drivers that shape MMORPG players' perception of social influences determining their we-intention to continue playing games. MMORPG service providers can draw on these drivers to leverage social influences to increase players' we-intention of continuance.

Teams across a wide range of contexts must look beyond task performance to consider the affective, cognitive and behavioral health of their members. Despite much interest in team health in practice, consideration of team health has remained scant from a research perspective. The purpose of this paper is to address these issues by advancing a definition and model of team health.

The authors review relevant literature on team stress, processes and emergent states to propose a definition and model of team health.

The authors advance a definition of team health, or the holistic, dynamic compilation of states that emerge and interact as a team resource to buffer stress. Further, the authors argue that team health improves outcomes at both the individual and team level by improving team members’ well-being and enhancing team effectiveness, respectively. In addition, the authors propose a framework integrating the job demands-resources model with the input-mediator-output-input model of teamwork to illustrate the behavioral drivers that promote team health, which buffers teams stress to maintain members’ well-being and team effectiveness.

This work answers calls from multidisciplinary industries for work that considers team health, providing implications for future research in this area.

The purpose of this study was to investigate trust within human-AI teams. Trust is an essential mechanism for team success and effective human-AI collaboration.

In an online experiment, the authors investigated whether trust perceptions and behaviours are different when introducing a new AI teammate than when introducing a new human teammate. A between-subjects design was used. A total of 127 subjects were presented with a hypothetical team scenario and randomly assigned to one of two conditions: new AI or new human teammate.

As expected, perceived trustworthiness of the new team member and affective interpersonal trust were lower for an AI teammate than for a human teammate. No differences were found in cognitive interpersonal trust and trust behaviours. The findings suggest that humans can rationally trust an AI teammate when its competence and reliability are presumed, but the emotional aspect seems to be more difficult to develop.

This study contributes to human–AI teamwork research by connecting trust research in human-only teams with trust insights in human–AI collaborations through an integration of the existing literature on teamwork and on trust in intelligent technologies with the first empirical findings on trust towards AI teammates.