While there is increasing pressure to work collaboratively in interprofessional teams, health professionals often continue to operate in uni‐professional silos. Leader inclusiveness is directed toward encouraging and valuing the different viewpoints of diverse members within team interactions, and has significant potential to overcome barriers to interprofessional team performance. In order to better understand the influence of leader inclusiveness, we develop and investigate a model of its effect incorporating two mediated pathways. We predict that leader inclusiveness enhances interprofessional team performance through an increase in shared team identity and a reduction in perceived status differences, and we argue that the latter pathway is contingent on professional diversity. Data from 346 members of 75 teams support our model, with team identity and perceived status differences mediating a significant effect of leader inclusiveness on performance. In addition, we found support for the moderating role of professional diversity. The results reinforce the critical role of leader inclusiveness in diverse teams, particularly interprofessional teams, and suggest that social identity and perceived status differences are critical factors mediating its impact on performance. © 2015 Wiley Periodicals, Inc.

ABSTRACT In the gig economy, the role of artificial intelligence (AI) in managing human resource functions such as task allocation and performance management is increasingly significant. However, there is limited understanding of how the reliability of these functions, as experienced by workers, impacts their trust and engagement. Grounded in the transactional model of stress and coping, this study examines the influence of experienced algorithmic reliability on gig workers' trust in their platforms and their subsequent work engagement. We further explore how occupational stigma consciousness moderates this mediated relationship. Through a time‐lagged survey of 332 gig workers, our findings indicate that reliable algorithmic management experiences significantly enhance trust and subsequently work engagement. Moreover, this relationship is complicated by occupational stigma consciousness, which can diminish the positive effects of algorithmic reliability on trust and engagement. This study deepens our understanding of technology‐mediated work environments, emphasizing the critical role of workers' experiences with AI‐driven HRM functions in enhancing engagement and well‐being.