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This study aims to explore the interplay between community dynamics and knowledge production using the quantum computing research field as a case study. Quantum computing holds the promise of dramatically increasing computation speed and solving problems that are currently unsolvable in a short space of time. In this highly dynamic area of innovation, computer companies, research laboratories and governments are racing to develop the field.

After constructing temporal co-authorship networks, the authors identify seven different events affecting communities of researchers, which they label: forming, growing, splitting, shrinking, continuing, merging, dissolving. The authors then extract keywords from the titles and abstracts of their contributions to characterize the dynamics of knowledge production and examine the relationship between community events and knowledge production over time.

The findings show that forming and splitting are associated with retaining in memory what is currently known, merging and growing with the creation of new knowledge and splitting, shrinking and dissolving with the curation of knowledge.

Although the link between communities and knowledge has long been established, much less is known about the relationship between the dynamics of communities and their link with collective cognitive processes. To the best of the authors’ knowledge, the present contribution is one of the first to shed light on this dynamic aspect of community knowledge production.

Smart device use for work during family time is a growing issue of concern and is likely exacerbated by the COVID-19 pandemic. The authors test a broad range of well-being outcomes (job anxiety, job depression and insomnia) to extend the literature. Work–family conflict was included as a mediator with age as a moderator.

The study uses representative data from 422 New Zealand employees across a wide range of occupations, sectors, and industries from late 2020. Confirmatory factor analysis (CFA) of the data was used and moderated mediation analysis was conducted.

Overall, hypotheses were supported, with mWork positively influencing work–family and family–work conflict, and all well-being outcomes. Work–family and family–work conflict acted as mediators and age interacted with mWork leading to more conflict for older workers. Finally, moderated mediation effects were supported with age acting as a boundary condition, whereby the indirect effect of mWork on well-being outcomes increases as age increases.

The findings highlight the danger of using mobile devices to work in family time and highlight the additional risks for older workers.

The mWork literature has a limited focus on well-being outcomes, and the New Zealand data provides insights from a largely underrepresented population in the literature. Further, the use of age as a moderator of mWork towards well-being outcomes provides further originality.

This study argues that online user comments on social media platforms provide feedback and evaluation functions. These functions can provide services for the relevant departments of organizations or institutions to formulate corresponding public opinion response strategies.

This study considers Chinese universities’ public opinion events on the Weibo platform as the research object. It collects online comments on Chinese universities’ network public opinion governance strategy texts on Weibo, constructs the sentiment index based on sentiment analysis and evaluates the effectiveness of the network public opinion governance strategy adopted by university officials.

This study found the following: First, a complete information release process can effectively improve the effect of public opinion governance strategies. Second, the effect of network public opinion governance strategies was significantly influenced by the type of public opinion event. Finally, the effect of public opinion governance strategies is closely related to the severity of punishment for the subjects involved.

The theoretical contribution of this study lies in the application of image repair theory and strategies in the field of network public opinion governance, which further broadens the scope of the application of image repair theory and strategies.

This study expands online user comment research to network public opinion governance and provides a quantitative method for evaluating the effect of governance strategies.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2022-0269