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 …

We develop a conceptual framework for studying collective adaptation in complex socio-
cognitive systems, driven by dynamic interactions of social integration strategies, social …

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

Forecasting advice from human advisors is often utilized more than advice from automation.
There is little understanding of why “algorithm aversion” occurs, or specific conditions that …

This paper addresses an under-explored problem of AI-assisted decision-making: when
objective performance information of the machine learning model underlying a decision aid …

In peer instruction, instructors pose a challenging question to students, students answer the
question individually, students work with a partner in the class to discuss their answers, and …

Four experiments test the prediction that feelings of power lead individuals to discount
advice received from both experts and novices. Experiment 1 documents a negative …

Across 8 experiments, the influence of anxiety on advice seeking and advice taking is
described. Anxious individuals are found to be more likely to seek and rely on advice than …

Although prior studies have found that people generally underweight advice from others,
such discounting of advice is not universal. Two studies examined the impact of task …

Delphi is an established information gathering and forecasting approach that has proven to
deliver valuable results in a wide variety of specialist fields. Yet, Delphi studies have also …