Fostering social capital in an international multi-stakeholder issue network

Scholars have theorized that public relations contributes to societies and communities by bringing attention to pressing public issues and fostering social capital in civil society networks. However, the extant research has studied civil society networks of NGOs, donors, and the media in transitional countries. This study extends the public relations model of civil society in two ways. First, it broadens the scope to an international context. Second, it draws from the multi-stakeholder issue network perspective to conceptualize a civil society network as a space where stakeholders of an issue mix their interests as they collectively address a pressing public issue. The literature on international and multi-stakeholder networks suggest that the international scope and the mixing of interests across sectors may restrict the production of social capital. The results from the social network analysis suggests that the mixing of interests across sectoral and geopolitical boundaries did not restrict the production of social capital. Rather, the patterns of the relationships among those on the core and those on the periphery of the network restricted the production of social capital. Such finding demonstrates how public relations’ functions like relationship building can have profound influences on social capital and civil society networks. The implications for public relations theorizing and research are discussed.     

Ecosystem services deficits in cross-boundary landscapes: spatial mismatches between green and grey systems

Urban Ecosystems - Quantitative analyses of the influence of boundary lines on ecosystem services distributions remain rare. Approaches towards integrative assessments of green and grey landscape...     

Rap music,race, and perceptions of crime

Scholars who study rap music have long expressed concerns that criticism of the genre is inextricably linked to stereotypes of young Black men in the United States. Yet minimal research has empirically examined how rap music is linked to race in ways that legitimize and maintain anti‐Black attitudes, particularly attitudes related to crime. This article reviews how scholars have typically challenged seemingly racialized concerns about rap music before surveying the handful of studies that empirically examine attitudes related to rap music, race, and crime. In so doing, this essay highlights a growing need for broader conceptualizations of race/ethnicity and social control.     

Data‐Driven Supply Chain Orientation and Financial Performance: The Moderating Effect of Innovation‐Focused Complementary Assets

Drawing on the complementary assets framework, this study explores the moderating effect of innovation‐focused complementary assets (CA‐I) on the relationship between a data‐driven supply chain orientation (DDSCO) and firm financial performance. To test the moderating effect, survey data gathered from 329 manufacturing firms in China were analysed using a moderated regression analysis. The results indicate that DDSCO has a significant positive effect on financial performance, and that capabilities for product and process innovation function as complementary assets moderating the DDSCO–performance relationship. The findings suggest that innovation‐focused complementary assets are performance differentiators when paired with a DDSCO and explain why some firms obtain financial benefits from the development of a DDSCO while others do not. Specifically, competitive advantage from a DDSCO may not be realized unless CA‐I and potentially other complementary assets are harnessed, thus providing useful practical guidance to managers. Hence, the study provides empirical support for the complementary assets framework.     

How Role Replaced Personality as a Major Category of Sociology

Try to imagine sociology being without the role concept. The thought experiment will strike us as impossible. And yet, through the early decades of the 20th century, remarkably few sociologists thought of social agents as incumbents of social roles and as performing roles in their day to day lives. This article addresses a set of related questions. How did sociologists manage without the concept social role? How did they describe the social agent and his agency? When and in what circumstances was the term social role initially formulated and when did it enter the vocabulary of social science? Ralph Linton’s The Study of Man (1936) is identified as the key text in this history of the concept social role, foreshadowed in writings of Robert Park, E. A. Burgess, and Kimball Young. Linton introduced his role idea in the midst of disciplinary change with boundaries between sociology and psychology (particularly social, and personal, psychology) being redrawn.     

Missing item imputation for quality-of-life instruments with application to asthma quality-of-life questionnaires

There has been increasing use of quality-of-life (QoL) instruments in drug development. Missing item values often occur in QoL data. A common approach to solve this problem is to impute the missing values before scoring. Several imputation procedures, such as imputing with the most correlated item and imputing with a row/column model or an item response model, have been proposed. We examine these procedures using data from two clinical trials, in which the original asthma quality-of-life questionnaire (AQLQ) and the miniAQLQ were used. We propose two modifications to existing procedures: truncating the imputed values to eliminate outliers and using the proportional odds model as the item response model for imputation. We also propose a novel imputation method based on a semi-parametric beta regression so that the imputed value is always in the correct range and illustrate how this approach can easily be implemented in commonly used statistical software. To compare these approaches, we deleted 5% of item values in the data according to three different missingness mechanisms, imputed them using these approaches and compared the imputed values with the true values. Our comparison showed that the row/column-model-based imputation with truncation generally performed better, whereas our new approach had better performance under a number scenarios.