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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 conceptual, multi-voiced paper aims to collectively explore and theorize family entrepreneuring, which is a research stream dedicated to investigating the emergence and becoming of entrepreneurial phenomena in business families and family firms.

Because of the novelty of this research stream, the authors asked 20 scholars in entrepreneurship and family business to reflect on topics, methods and issues that should be addressed to move this field forward.

Authors highlight key challenges and point to new research directions for understanding family entrepreneuring in relation to issues such as agency, processualism and context.

This study offers a compilation of multiple perspectives and leverage recent developments in the fields of entrepreneurship and family business to advance research on family entrepreneuring.

Engaging in webcare, i.e. responding to online reviews, can positively affect consumer attitudes, intentions and behavior. Research is often scarce or inconsistent regarding the effects of specific webcare strategies on business performance. Therefore, this study tests whether and how several webcare strategies affect hotel bookings.

We apply machine learning classifiers to secondary data (webcare messages) to classify webcare variables to be included in a regression analysis looking at the effect of these strategies on hotel bookings while controlling for possible confounds such as seasonality and hotel-specific effects.

The strategies that have a positive effect on bookings are directing reviewers to a private channel, being defensive, offering compensation and having managers sign the response. Webcare strategies to be avoided are apologies, merely asking for more information, inviting customers for another visit and adding informal non-verbal cues. Strategies that do not appear to affect future bookings are expressing gratitude, personalizing and having staff members (rather than managers) sign webcare.

These findings help managers optimize their webcare strategy for better business results and develop automated webcare.

We look into several commonly used and studied webcare strategies that affect actual business outcomes, being that most previous research studies are experimental or look into a very limited set of strategies.

The Scottish Enlightenment, which gave birth to classical liberal thought and political economy, developed out of a strong theological tradition and was marked by significant theological conflict. Most people understand the Scottish Enlightenment through the works of David Hume, Adam Smith, and their intellectual circle of Moderate clergy and literati. Though this group represents the dominant strain of thinking in the Scottish Enlightenment, one should not neglect other important contributions made by more orthodox clergy and literati. Comparing the ideas of less well-known, but leading figures of the Moderate and the orthodox literati, Hugh Blair and John Witherspoon, reveals different views on doctrines related to salvation, human nature, and God’s providence, as well as on the nature of moral judgment and education. These differences provide important context for understanding the ideas and arguments of more influential philosophers like Smith and Hume.

The present study aims to provide a better understanding of authentic assessment in the COVID-19 pandemic era by exploring how Indonesian lecturers perceive authentic assessment in terms of input, process and output. It also examines the issue through the theoretical lens of authentic assessment following the tenet of a five-dimensional framework (5DF) including assessment task, physical context, social context, assessment result and standard authentic criteria.

The study employed an exploratory sequential mixed-methods design to garner data through qualitative interviews and authentic assessment questionnaires in which 48 lecturers from four universities were involved.

The study gleaned two important findings. The qualitative data showed that the university teachers enacted the cognitive assessment fruitfully. The study shows that lecturer participants experienced difficulties in integrating cognitive, psychomotor and affective domains into authentic assessment tasks during the teaching and learning process. Additionally, the results of quantitative data support the qualitative data that lecturer participants faced challenges (asking students to demonstrate or perform the tasks) in implementing both social and physical contexts in authentic assessment tasks of online learning during COVID-19 pandemic.

The present study addresses practical and conceptual implications. Practically, it suggests the need to facilitate the development of lecturers' technological skills to design online authentic assessment in higher education that responds to fully online assessment, such as the prevalence of COVID-19 pandemic. Meanwhile, the study suggests that lecturers need to build their understanding of 5DF theoretical lens which include assessment tasks, physical contexts, social contexts, assessment result and standard authentic criteria to enhance their literacy in enacting authentic assessment.

Although many studies have investigated the implementation of authentic assessment in higher education, only a few have examined how lecturers perceived online authentic assessment during the COVID-19 pandemic. The present study contributes to developing conceptual and empirical evidence regarding lecturers' perception of the implementation of authentic assessment based on 5DF theoretical lens in higher education settings during the pandemic of COVID-19.