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This paper aims to explore the potential explanatory mechanisms linking leader–member exchange (LMX) and a perceived supportive environment for corporate entrepreneurship. Specifically, this paper develops and tests a hypothesized moderated mediation model of the relationship between LMX and a perceived supportive environment for corporate entrepreneurship through psychological empowerment as conditional upon the level of control orientation.

Data were collected from a sample of 682 full-time working adults in the USA and were examined in a moderated mediation model in PROCESS.

The findings suggest that higher LMX augments perceptions of a supportive environment for corporate entrepreneurship with a mediating role for psychological empowerment and a moderating role for control orientation on that conditional relationship.

This research suggests that high quality LMX relationships may enrich the human capital of firms, helping them to innovate and outperform competitors in the context of modern competitive dynamics. The study findings are limited by several factors including a cross-sectional design and a student-recruited sampling approach.

The study offers unique contributions to the leadership and entrepreneurship literature by being among the first to empirically investigate the relationship between LMX and a perceived supportive environment for corporate entrepreneurship as mediated by psychological empowerment and moderated by control orientation, yielding important insights regarding effective leadership practices for facilitating innovative behaviors and corporate entrepreneurship.

Privilege is often silent, invisible and not made explicit, and silence is a key question for theorizing on organizations. This paper examines interrelations between privilege and silence for relatively privileged professionals in high-intensity knowledge businesses (KIBs).

This paper draws on 112 interviews in two rounds of interviews using the collaborative interactive action research method. The analysis focuses on processes of recruitment, careers and negotiation of boundaries between work and nonwork in these KIBs. The authors study how relative privilege within social inequalities connects with silences in multiple ways, and how the invisibility of privilege operates at different levels: individual identities and interpersonal actions of privilege (micro), as organizational level phenomena (meso) or as societally constructed (macro).

At each level, privilege is reproduced in part through silence. The authors also examine how processes connecting silence, privilege and social inequalities operate differently in relation to both disadvantage and the disadvantaged, and privilege and the privileged.

This study is relevant for organization studies, especially in the kinds of “multi-privileged” contexts where inequalities, disadvantages and subordination may remain hidden and silenced, and, thus, are continuously reproduced.

The reality of domestic violence does not disappear when people enter the digital world, as abusers may use technology to stalk, exploit, and control their victims. In this chapter, we discuss three unique types of technological abuse: (1) financial abuse via banking websites and apps; (2) abuse via smart home devices (i.e., “Internet of Things” abuse); and (3) stalking via geo-location or GPS. We also argue pregnancy and wellness apps provide an opportunity for meaningful intervention for pregnant victims of domestic violence.

While there is no way to ensure users' safety in all situations, we argue thoughtful considerations while designing and building digital products can result in meaningful contributions to victims' safety. This chapter concludes with PenzeyMoog's (2020) “Framework for Inclusive Safety,” which is a roadmap for building technology that increases the safety of domestic violence survivors. This framework includes three key points: (1) the importance of educating technologists about domestic violence; (2) the importance of identifying possible abuse situations and designing against them; and (3) identifying user interactions that might signal abuse and offering safe interventions.