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This paper focuses on the process that generates resistance to change in a small organization. We build a grounded theory that interprets resistance to change in terms of interdependencies between the characteristics of the economic environment and of the industry, the dispositions of individuals, and the patterning of their actions within the social network. These three levels of analysis are mainly investigated separately from one another in empirical studies. An Italian small manufacturing firm was the object of our field study. Observations, ethnographic interviews and analysis of documents were the techniques employed.

The paper's aim is twofold: to display how the application of social network analysis techniques to observational data provides researchers with a unique set of data to make sense of the dynamics of organizational settings; to contribute to knowledge on group design, self‐managing teams, and processes of technology diffusion.

The paper focuses on the findings of qualitative research, recently published, that were conducted in a major Italian clothing company producing garments for the top‐end market. Observation, ethnographic interviews and analysis of documents for data collection were employed. Coding procedures and social network analysis techniques were used to analyse data.

The long presence in the field allowed for the building of two grounded theories. One deals with the process of Computer Aided Design technology diffusion into a small group and it connects a number of variables usually studied separately in the literature. The second accounts for the enactment of spontaneous self‐managing practices in a group formally designed as a manager‐led team.

The grounded theories are formulated for specific social settings and future research could benefit from replications in different contexts to capture other phenomena leading to different categories to be integrated into the theories or to corroborate them.

The paper derived enacted network data from the direct and prolonged observation of actors as opposed to self‐reported network data. This allowed clarification of the actual content and the quality of the interactions among actors, and to move beyond their quantification, thus enhancing the comprehension of the impact of network relationships upon organizational behaviour.

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.