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The characteristics of individual members and how the members are assembled in a group are critical foundations for various group processes and outcomes and often determine important staffing and hiring decisions in organizations. This chapter offers an overview of the history of group composition research across multiple disciplines and identifies three distinct approaches to studying group composition with an emphasis on the role of communication. Scholars treat group composition as a cause that leads to group outcomes, a consequence that results from social and psychological processes, or a process in response to dynamic team environments. A synthesis of previous research reveals that studying group composition as a cause has dominated the field and that the role of communication in group composition has gained little attention. The chapter concludes with a set of future research directions targeting the new digital environment, the role of communication, and research methodologies with special attention to the consequence- and process-oriented approaches.

The pattern of racial segregation in U.S. elementary and secondary schools has changed significantly over the last 25 years. This chapter examines the relationship between the racial composition of schools and the choices white parents make concerning the schools their children attend. Restricted access files at the Bureau of the Census allow us to identify each household's Census block of residence and, in turn, suburban public school districts and urban public school attendance areas. We find that the racial composition of schools and neighborhoods are very important in the school and location decisions of white families.

Team composition research considers how configurations (e.g., team-level diversity) of team members’ attributes (e.g., personality, values, demographics) influence important outcomes. Our chapter describes key issues in understanding and effectively managing team composition over time.

We discuss how context shapes team composition. We review empirical research that examined relationships between team composition, and team processes and emergent properties over multiple time points. We review research that examined how composition can be effectively managed over the lifecycle of a team.

Context shapes the nature of team composition itself (e.g., dynamic composition). To the extent that membership change, fluid boundaries, and multiple team membership are present should be accounted for in research and practice. The research we reviewed indicated no, or fleeting effects for surface-level (e.g., demographics) composition on the development of team processes and emergent properties over time, although there were exceptions. Conversely, deep-level composition affected team processes and emergent properties early in a team’s lifespan as well as later. Team composition information can be used in staffing; it can also inform how to best leverage training, leadership, rewards, tasks, and technology to promote team effectiveness.

Teams are the building blocks of contemporary organizations. Understanding and effectively managing team composition over time can increase the likelihood of team.

Our chapter provides novel insights into key issues in understanding and effectively managing team composition over time.

Teams are best positioned for success when certain enabling conditions are in place such as the right mix of individuals. Effective team staffing considers team members’ knowledge, skills, abilities, and other characteristics (KSAOs) as well as the configuration of team member KSAOs and their relations, called team composition. In practice, however, how to integrate team composition considerations into team staffing to facilitate outcomes such as team cohesion can seem nebulous. The purpose of this chapter is to describe how team member KSAOs and their configurations and relations affect team cohesion, and suggest how this information can inform team staffing. We frame team cohesion as an aspect of team human capital to understand when it may be an important consideration for staffing. We describe multilevel considerations in staffing cohesive teams. We summarize theories that link team composition to team cohesion via interpersonal attraction, a shared team identity, and team task commitment. Finally, we propose a six-step approach for staffing cohesive teams, and describe a few areas for future research.

Organizational approaches to racial inequality have provided contextual insight into a host of traditional stratification outcomes (e.g., hiring, earnings, authority). This chapter extends the organizational approach by drawing on the health-stress framework to explore how organizational context affects experiential and health-related outcomes – discrimination, social support, and psychological distress. Drawing on a sample of Black workers in the United States, we examine the relationship between workplace racial composition and psychological distress, as well as two potential mediators – racial discrimination and workplace social support. Our findings reveal that psychological distress is similar for Black workers in token (<25% Black coworkers), tilted other race (25–49.99% Black coworkers), and tilted same race (50–74.99% Black coworkers) job contexts. Workers in Black-dominated jobs (>75% Black coworkers), however, experience significantly less psychological distress than other compositional thresholds, net of individual, job, and workplace characteristics. This relationship is not explained by either racial discrimination experiences or supervisor and coworker social support. This finding suggests that researchers need to theorize and examine other protective factors stemming from coworker racial similarity.

Between 1995 and 2012, the wage distribution of male workers in Brazil shifted to the right and became less dispersed. This paper attempts to identify the reasons for that movement in male wage distribution, focusing on the impact of education expansion on wage distribution. The Oaxaca-Blinder (OB) and Recentered Influence Function (RIF) decomposition results show that both changes in returns on skills and upgrades in the composition of work skills contribute to increases in the average wage and wages at the 10th and 50th percentiles. The shifts in returns to skills had a decreasing impact on wages at the 90th percentile and are identified as the primary force reducing wage inequality. Education expansion had an equalizing impact on wage distribution, primarily through the decline in return to education.

This chapter investigates how international trade affects pollution using annual data from 34 Asian countries for the period 1970–2019. Following the work of Antweiler, Copeland, and Taylor (2001), the authors divide the impact into three effects – scale, technique, and composition effects. The scale of economic activity drives pollution demand. The technique effect reflects increased willingness to bear the costs of abating pollution as a country gets more prosperous because of increased international trade. International trade changes the composition of output in a country and therefore the level of pollution as different goods are produced with different pollution intensities. This is called the composition effect. This chapter measures pollution using carbon dioxide emissions (metric tons per capita) obtained from the United States Energy Information Administration. This study estimates a regression model that provides estimates of the magnitudes of trade’s impact on pollution as per the aforesaid three effects. The authors find that the scale and the composition effects of pollution are positive, but the technique effect is negative, and that the net effect is negative (international trade leads to a lower level of emission) when the underlying model is linear, but it is positive (international trade leads to a higher level of emission when non-linearities are considered).

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.

In Volume I of Capital, Marx offers actual data from a Manchester spinning factory describing that business. In Volume II, he offers schemes of reproduction to help understand accumulation of capital while mentioning numbers that actually suggest correlation to the spinning factory data. Nevertheless, Marx seems to slide over the costs of new machinery when analyzing accumulation, instead focusing on wear and tear (depreciation). In this chapter, we offer a modeling of accumulation that takes account of modern estimates of the composition of capital, that is, the relation of labor time invested in constant capital compared to the labor time employed with that constant capital, relying principally upon U.S. and Canadian estimates.

We find empirically that the composition of capital fluctuates but does not show much trend. We also consider levels of the rate of exploitation and of utilization of surplus value required for achieving actual historical levels of accumulation of capital, and include consideration of the turnover of capital. We find that only a small portion of surplus value, perhaps 10%, is required for actually achieved accumulation. This suggests that a focus on the utilization of surplus value for the accumulation of capital misses vast other terrains for the utilization of surplus value.

Our result is suggestive of an overemphasis within Marxist political economy on accumulation of capital.

Although preference for sons has been documented among parents in developing countries, it is an open question whether and to what extent intra-household resource allocation is influenced by family sex composition. This study investigates the effects of sex composition on intra-household resource allocation based on the collective household model of Dunbar, Lewbel, and Pendakur (2013). I extend their model to estimate the influences on a household member’s resource share by observing how budget shares of a private assignable good vary not only with total expenditure and family size, but also with family sex composition. Using data from the 2005 Iranian Household Income and Expenditure Survey, I find that family composition significantly affects intra-household resource allocation in Iranian rural areas. Specifically, rural parents assign 1.6–1.9 percentage points more resources toward their sons. These resources are essentially coming at the expense of mothers. In all-boy families, mothers get 2.8–3.6 percentage points fewer resources than they do in all-girl families. These effects are more pronounced among farmer families than nonfarmer families. However, I find no significant role for gender composition in intra-household resource allocation in urban areas.