Suchergebnisse

In response to the global COVID-19 pandemic, many businesses closed their offices and asked their employees to work from home. The transition to remote work has yielded performance gains for many companies; so much so that many firms are planning to continue to use remote work after the pandemic subsides. Nevertheless, such benefits may not be distributed equally throughout the workforce. Drawing on the sociocognitive theory of socioeconomic status (SES), we predict that one's home working environment features salient signals of their social status that affect their performance. Based on a sample of 304 remote workers from within the United States collected during the COVID-19 shutdown, we find that individuals whose home offices connote higher levels of SES report a greater sense of control over their environment, which ultimately is associated with higher levels of perceived job performance. Furthermore, we find that the more time an individual spends in their home office, the stronger the relationship between their environment-based SES and their personal sense of control. Taken as a whole, our findings suggest that because home working environments are arrayed along an SES gradient, they present another mechanism by which pre-existing inequalities may be made salient as a result of the COVID-19 pandemic.

Emergent states are team-level attributes that reflect team members' collective attitudes, values, cognitions, and motivations and influence team effectiveness. When measuring emergent states (e.g., cohesion, conflict, satisfaction), researchers frequently collect ratings from individual group members and aggregate them to the team level. After aggregating to the team level, researchers typically focus on mean differences across teams and ignore variability within teams. Rather than focusing on the mean level of emergent states, this study draws on recent advances in multilevel theory and describes an approach for examining the specific patterns of dispersion (i.e., disagreement) across five emergent states. Our findings suggest that teams reliably demonstrate different patterns of rating dispersion that are consistent with existing theoretical frameworks and typologies of dispersion, yet have not previously been empirically demonstrated. We also present evidence that the different patterns of dispersion in emergent states are significantly related to key team outcomes, even after controlling for the mean levels of those emergent states. These findings underscore the importance of exploring additional forms of team-level constructs and highlight ways of extending our understanding of group-level phenomena.