This paper reviews the advice-giving and advice-taking literature. First, the central findings
from this literature are catalogued. Topics include: advice utilization, confidence, decision …

Functionalist accounts of hierarchy, longstanding in the social sciences, have gained recent
prominence in studies of leadership, power, and status. This chapter takes a critical look at a …

Assistive technology featuring artificial intelligence (AI) to support human decision-making
has become ubiquitous. Assistive AI achieves accuracy comparable to or even surpassing …

With machine learning models being increasingly used to aid decision making even in high-
stakes domains, there has been a growing interest in developing interpretable models …

Even though computational algorithms often outperform human judgment, received wisdom
suggests that people may be skeptical of relying on them (Dawes, 1979). Counter to this …

The literature on energy citizenship highlights that for citizens to be protagonists of the
energy transition meaningfully, they should partake through not only their energy investment …

Past research offers mixed perspectives on whether domain experience helps or hurts
algorithm-augmented worker performance. Reconciling these perspectives, we theorize that …

AI-augmented decision-making processes promise to transform strategic decisions around
innovation management. However, despite a growing body of research on algorithmic …

Algorithms have begun to encroach on tasks traditionally reserved for human judgment and
are increasingly capable of performing well in novel, difficult tasks. At the same time, social …

Scholars use the theoretical lens of bias to research various behavioral phenomena in
entrepreneurship. We assess this body of research, focusing on definitional issues and …