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There is a paucity of research into high-performing virtual teams. This study aims to design and test a model of virtual team performance and to produce a profile of high-performing teams.

The main constructs found to have influenced virtual team performance in business were trustworthiness, commitment, communication characteristics, cross-cultural communication style and structure effects. New or revised scales to measure these and a new performance measure, based on five performance criteria, were developed. A research model was designed and tested, and a profile of high-performance teams produced. The sample from a global telecoms company comprised 108 global virtual teams. Two senior managers rated performance independently.

Hierarchical regression results explained 75.7 per cent of the variance of performance. Analysis of variance revealed that model fit was highly statistically significant. Trustworthiness was identified as the predominant factor, explaining a majority of the dependent variable’s variance, while interpersonal communication, commitment and cross-cultural communication style were also identified as important. The 52 items differentiating high- and low-performing teams are reported and discussed.

The research model makes a contribution to team performance theory and understanding, especially the relative importance of constructs for explaining performance. The profile of high-performing teams adds greatly to our knowledge and provides valuable guidance for team management, selection and development.

This study aims to offer a bibliometric analysis of the already substantial and growing literature on global virtual teams (GVTs).

Using a systematic literature review approach, it identifies all articles in the Web of Science from 1999 to 2021 that include the term GVTs (in the title, the abstract or keywords) and finds 175 articles. The VOSviewer software was applied to analyze the bibliometric data.

The analysis revealed three dialogizing research clusters in the GVTs literature: a pioneering management information systems and organizational cluster, a general management cluster and a growing international management and behavioural studies cluster. Furthermore, it highlights the most cited articles, authors, journals and nations, and the network of strong and weak links regarding co-authorships and co-citations. Additionally, this study shows a change in research patterns regarding topics, journals and disciplinary approaches from 1999 to 2021. Finally, the analysis illustrates the position and centrality in the network of the most relevant actors.

The findings can guide management practitioners, educators and researchers to the most meaningful clusters of publications on GVTs, and help navigate and make sense of the vast body of the available literature. The importance of GVTs has been growing in the past two decades, and Covid-19 has accelerated the trend.

This study provides an updated and comprehensive systematic literature review on GVTs. To the best of the authors’ knowledge, it is also the first systematic literature review and bibliometry on GVTs. It concludes by suggesting future research paths.