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Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

This study aims to provide a holistic review of social media influencers (SMIs) research based on a unique approach of bibliometric analysis and content analysis between 2011 and 2020. The review examines the main influential aspects, themes and research streams to identify research directions for the future.

The sample selection and data collection were done from the Scopus database. The sample dataset was refined based on the inclusion and exclusion criteria to determine the final dataset of 183 articles. The dataset was exported in the BibTeX format and then imported into the BiblioShiny app for bibliometric analysis. The content analysis was done following the theory-context-methodology framework.

The several findings of this study include (1) Co-word analysis of most used keywords; (2) Longitudinal thematic evolution; (3) The focus of the research papers as per the theory-context-methodology review protocol are persuasion knowledge model, fashion and beauty industries, Instagram and content analysis, respectively; and (4) The network analysis of the research studies is known as the co-citation analysis and depicts the intellectual structure in the domain. This analysis resulted in four clusters of the research streams from the literature and two emergent themes (Chen et al., 2010)

In general, the previous reviews in the area are either domain, method or theory-based. Thus, this study aims to complement and extend the existing literature by presenting the overall picture of the SMI research with the help of a unique combined approach and further highlighting the trends and future research directions based on the findings of this study.

This paper has three aims: Firstly, it puts the pandemic-induced surge in homeworking into context by charting trends in homeworking in the UK since the early 1980s. Secondly, it examines what effect the growth in homeworking during the pandemic has had on employees' self-reported levels of productivity. Thirdly, it assesses whether the spike in homeworking is a flash in the pan or a permanent feature of the post-pandemic world.

The paper uses cross-sectional and longitudinal data taken from three nationally representative surveys of workers: (1) the Labour Force Survey (LFS), an official government survey carried out between 1981 and 2019; (2) a special module of the Opinions and Lifestyle Survey (OPN), also an official government survey, which has been run every week since the pandemic began in March 2020; and (3) the Understanding Society Covid-19 Study, an online survey of the same people interviewed on six occasions during 2020.

The recent surge in homeworking in the UK during the pandemic has been dramatic. Before 2020, it had taken almost 40 years for homeworking to grow by three percentage points, but its prevalence grew eight-fold virtually overnight as people were instructed to work at home if they can because of the pandemic. Despite theories and predictions to the contrary, employees reported that their productivity was not adversely affected. Seven out of ten employees said that they were able to get as much done while working at home in June 2020 as they were able to do six months earlier. By September 2020, this proportion had risen to 85%. However, around one in six homeworkers reported that their productivity had fallen.

While there are solid theoretical reasons for the paper's findings, these data do not allow us to test all of the mechanisms involved. In addition, our outcome measure relies on employees' self-reports of how their hourly productivity changed when working at home and is not based on a direct measure of changes to output per hour. However, surveys of employers also suggest that, on average, productivity has not been reduced by the pandemic-induced surge in homeworking.

This paper argues that a higher level of homeworking is here to stay. Nine out of ten employees who worked at home during the pandemic said that they would like to continue working at home when they did not have to. Furthermore, those keenest to continue working at home were the most productive, hence providing a business case for a sustained increase in the prevalence of homeworking after the pandemic has passed. Nevertheless, the experience of homeworking varies with those with higher domestic commitments reporting significantly lower levels of productivity.

There is an urgent need to investigate what effect enforced, as opposed to voluntary, homeworking has had on employee productivity. In addition, in order to decide whether continued homeworking should be encouraged or discouraged, policymakers and employers need to know what effect continuing with these arrangements is likely to have on employee productivity. This paper answers these questions using robust survey data collected in the UK throughout 2020, complemented by evidence taken from a variety of employer surveys.

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.