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The field of global leadership has flourished and advanced in the preceding decade. However, in contrast to the term global leadership, which enjoys conceptual clarity enabling accumulative progress, the construct of global leadership effectiveness is comparatively undertheorized, with instances of definitional ambiguity and disjointed methodological operationalizations across studies. The purpose of this chapter is, thus, to provide a systematic review of the global leadership effectiveness literature. In doing so, our contributions are fourfold. First, we offer an inclusive, comprehensive definition of global leadership effectiveness. Second, we map its construct domain. Third, we review research findings at the individual, group, and organizational levels. Finally, we integrate extant insights and offer suggestions for future research, organized within the typology of the content domain along the identified dimensions of global leadership effectiveness. Together, our goal is to build a foundation for future research examining the roles of leadership and the global context as antecedents of global leadership effectiveness.

This paper investigates effective human-robot collaboration (HRC) and presents implications for Human Resource Management (HRM). A brief review of current literature on HRM in the smart industry context showed that there is limited research on HRC in hybrid teams and even less on effective management of these teams. This book chapter addresses this issue by investigating factors affecting intention to collaborate with a robot by conducting a vignette study. We hypothesized that six technology acceptance factors, performance expectancy, trust, effort expectancy, social support, organizational support and computer anxiety would significantly affect a users' intention to collaborate with a robot. Furthermore, we hypothesized a moderating effect of a particular HR system, either productivity-based or collaborative. Using a sample of 96 participants, this study tested the effect of the aforementioned factors on a users' intention to collaborate with the robot. Findings show that performance expectancy, organizational support and computer anxiety significantly affect the intention to collaborate with a robot. A significant moderating effect of a particular HR system was not found. Our findings expand the current technology acceptance models in the context of HRC. HRM can support effective HRC by a combination of comprehensive training and education, empowerment and incentives supported by an appropriate HR system.