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This paper examines the role of occupational segregation in the evolution of wage differentials by gender and race in the Brazilian labor market between 2005 and 2015.

The author uses microdata from the National Household Sample Survey and adopts two occupational integration typology to capture both horizontal and vertical segregation. The decomposition method proposed by Firpo et al. (2009) is employed to investigate the determinants of changes in differentials along the wage distribution.

Results suggest a glass ceiling effect for all groups compared to white men. Gender and racial discrimination persist, especially at the top of the distribution. For both black women and men, observable characteristics account for most of the wage differentials, while for white women, the opposite occurs because of their education level. Vertical segregation behavior indicates that white men continue over-represented in higher-paid occupations. Although women improved their relative position in the occupational hierarchy, horizontal segregation behavior shows that their concentration in female-dominated occupations has not reduced, except in extreme quantiles. Education played a crucial role in reducing wage gaps, and regional differences stood out as a significant factor of the racial disadvantage.

The paper shows significant differences between the groups regarding verticalization and horizontalization of occupational structure along the wage distribution and over time, contributing to filling some gaps in the literature concerning the wage stratification based on gender and race in Brazil. Occupational segregation as a composition factor of the groups determines their positions in a vertically hierarchical and socially stratified occupational structure. The behavior of horizontal and vertical segregations evidences the continue under-valorization of female occupations and the barriers faced by racial and gendered groups to overcome the glass ceiling effect. Recognize the intersectionality of gender and race in addressing inequalities is fundamental to promote policies that overcome them.

Data relating to group composition are collected in most sample surveys of visitors, both at frontiers and within a tourist region. A vital element is that of size of group. It is important that the distribution of group sizes within the population under consideration is reflected accurately by the sample, possibly after some weighting procedures. A sampling procedure which is biased in terms of size of group will provide biased results concerning any variable that is related to group size. In particular it would lead to false information on the proportions of different types of visitor (eg businessmen, who are more likely to travel alone than are holiday‐makers) and inaccurate estimates may therefore be produced of, say, expenditure. Marketing plans also often depend on results obtained for group composition.

Artificial intelligence (AI) has reached creative industries such as music. Algorithms now produce high-quality artistic content (e.g. original songs), for hedo consumption and utilitarian business applications. While available literature to-date focuses mainly on technological development and applications, this paper aims to address the resulting research gap by investigating listeners’ perceptions towards music composed by AI.

First, an online survey was conducted with 446 respondents and compared perceptions of music professionals (n = 72) and non-professional listeners (n = 374). Following this, a 2 × 2 laboratory experiment was conducted, where 86 participants listened to songs composed by AI but were presented different narratives regarding the composition process (human versus AI).

Overall, results from the online survey indicated a rather negative perception, low purchase intention for AI music and a negative credibility perception of musicians using AI. Findings from the experiment indicated no significant differences between the groups, suggesting that the awareness of the use of automation did not influence the perception towards the music.

This paper contributes by highlighting the current perception of both listeners and music professionals towards the application of artificial creativity in music composition. Furthermore, it contributes to the existing literature on artificial creativity applied in music, by providing evidence of its impact on listeners’ perception. Results reveal the importance of further investigation on the topic.

The purpose of this paper is to test the conditional effect of team composition on team performance; specifically, how collective team orientation, group consensus, faultline configurations and trust among team members explain the objective performance of project teams in cross-cultural contexts.

Employing path analytical framework and bootstrap methods, the authors analyze data from a sample of 73 cross cultural project teams. Relying on ordinary least-squares regression, the authors estimate the direct and indirect effects of the moderated mediation model.

The findings demonstrate that the indirect effect of collective team orientation on performance through team trust is moderated by team member consensus, diversity heterogeneity and faultlines’ strength. By contrast, high dispersion among members, heterogeneous team configurations and strong team faultlines lead to low levels of trust and team performance.

The specific context of the study (cross-cultural students’ work projects) may influence external validity and limit the generalization of the findings as well as the different compositions of countries-of-origin.

From a practical standpoint, these results may help practitioners understand how the emergence of trust contributes to performance. It will also help them comprehend the importance of managing teams while bearing in mind the cross-cultural contexts in which they operate.

In order to foster team consensus and overcome the effects of group members’ cross-cultural dissimilarities as well as team faultlines, organizations should invest in improving members’ dedication, cooperation and trust before looking to achieve significant results, specially in heterogeneous teams and cross-cultural contexts.

The study advances organizational group research by showing the combined effect of team configurations and collective team orientation to overall team performance and by exploring significant constructs such as team consensus, team trust and diversity faultline strength to examine their possible moderated mediation role in the process.

This article presents a comprehensive and qualitative review of how levels of analysis issues have been addressed in the diversity and demography literature. More than 180 conceptual and empirical publications (i.e. book chapters and journal articles) in this field are reviewed and coded regarding the specific incorporation of levels of analysis in theory and hypothesis formulation, representation of levels of analysis in measurement of constructs and variables, appropriateness of data-analytic techniques given the explicit or implied levels of analysis, and alignment between levels of analysis in theory and data in regard to drawing inferences and conclusions. Although the body of diversity and demography literature continues to grow, levels of analysis issues are rarely considered. Only a few reviewed studies address levels of analysis issues in theory development, and no reviewed studies employ appropriate multi-level data analytic techniques. Implications for future research are discussed, and recommendations for incorporating levels of analysis into diversity and demography research are provided.

Purpose – The purpose of this chapter is to explore the effects of team composition on justice climate strength. Specifically, we adopt a social network approach to justice in teams to explore the social-psychological mechanisms underlying diversity effects.

Design/methodology/approach – Using data from 80 self-managed project teams, we consider the impact of surface-level and deep-level diversity in teams on member social network ties and subsequently dispersion in their perceptions of procedural and interpersonal justice.

Findings – The results showed that diversity in team members’ psychological attributes – specifically, preferences for individualism – were associated with variability in members’ attachment to the team. In contrast, team gender and racial diversity were not significantly related to member social network ties. The results also demonstrated a relationship between network tie diversity and both procedural and interpersonal justice climate strength, such that variability in members’ attachment to the team was related to variability in their justice perceptions.

Overall, these findings demonstrate that teams characterized by higher levels of deep-level diversity may experience greater variability in their social interactions, which amplify variability in members’ justice perceptions.

Implications – Practically, these findings suggest that potential performance advantages of informational diversity in teams may come at a cost, as such diversity may reduce the quality of members’ justice experiences. Theoretically, they provide insight into the nature of the relationship between diversity and justice, which is largely dependent on the social psychological processes evoked by diversity. They also highlight team social networks as a useful means for examining such processes and understanding the operation of justice in teams.

Commonly studied hunter-gatherer traits, such as grouping and sharing, may require special attention when self-selection introduces bias into typical analyses. We therefore re-examine forager sociality by asking a series of nested questions: (1) To what extent are foraging groups random samples from the larger population? (2) What social and economic factors might explain the composition of foraging groups? (3) If certain groups of individuals preferentially forage together, do these same groups also preferentially share with each other when resident at their permanent settlement? (4) To what extent can we understand behavior in the foraging context without consideration of other contexts in which individuals live and work, and vice versa? Among the Ache of Paraguay, we show that foraging treks are not representative of the larger population, individuals vary in the kinds of treks in which they participate, and those who tend to share together at the reservation are more likely to forage together on trek.

This study aims to investigate the predictive role of team personality composition in facilitating shared leadership through team member exchange (TMX), while also to examine the moderating effect of organizational culture.

The authors conducted a two-stage online survey and selected the customer service teams, claims teams and financial teams of 26 Chinese insurance companies as the research samples. The authors finally obtained validated questionnaires from 107 teams with 457 members. The hypothesized relationships were tested using SPSS 25.0 and Mplus.

The results indicate that both team relationship-oriented and task-oriented personality composition have significant positive effects on shared leadership with team-member exchange serving as a full mediator for both paths. As a boundary condition, organizational culture (i.e. including internal integration values and external adaptation values) has a moderating effect on the influence of TMX on shared leadership.

The study investigates the predictive role of team personality composition on shared leadership, which complements the empirical studies of shared leadership antecedents in the literature. Drawing on social exchange perspective, the authors find out that TMX serves as a mediator between team personality composition and shared leadership. The authors also identify the moderating effect of organizational culture on the emergence of shared leadership. The research emphasizes the contextual boundary condition in this process.

Group working methods, and more particularly assessed group work, have, over the past ten years or so, become integral components of many undergraduate, postgraduate and Higher National Diploma (HND) programmes. This study looks at year one results of two intakes of UK students who, as part of their HND course, undertook a large proportion of their assessment by group work. An “action” research approach combining quantitative and qualitative methodologies is used to gain a deeper insight into academic work patterns and social behaviours in the context of a tutorial group, covering norm setting, the group process, and how these may influence performance in assessments. The findings of this study suggest that group performance is influenced by the degree of heterogeneity in composition, with diverse groups performing more consistently. Within most groups certain elements of process loss are apparent, particularly the “sucker effect”, as well as aspects of process gain. Often both appear to be present and tend to balance each other out.

The gender composition of teams remains an important yet complex element in unlocking the success of collaboration and performance in the metaverse. In this study, the authors examined the collaborations of same- and mixed-gender dyads to investigate how gender composition influences perceptions of the dyadic collaboration process and outcomes at both the individual and team levels in the metaverse.

Drawing on expectation states theory and social role theory, the authors hypothesized differences between dyads of different gender compositions. A blocked design was utilized where 432 subjects were randomly assigned to teams of different gender compositions: 101 male dyads, 59 female dyads and 56 mixed-gender dyads. Survey responses were collected after the experiment.

Multilevel multigroup analyses reveal that at the team level, male dyads took on the we-impress manifestation to increase satisfaction with the team solution. In contrast, female and mixed-gender dyads adopted the we-work-hard-on-task philosophy to increase satisfaction with the team solution. At the individual level, impression management is the key factor associated with trust in same-gender dyads but not in mixed-gender dyads.

As one of the pioneering works on gender effects in the metaverse, our findings shed light on two fronts in virtual dyadic collaborations. First, the authors offer a theoretically grounded and gendered perspective by investigating male, female and mixed-gender dyads in the metaverse. Second, the study advances team-based theory and deepens the understanding of gender effects at both the individual and team levels (multilevel) in a virtual collaboration environment.