When making complex decisions, such as a medical diagnosis, decision makers typically
gather, analyze, and synthesize (integrate) information. In a previous study, we showed that …

Previous research highlights the interplay between advice seeking and entrepreneurial
orientation in influencing firm outcomes. However, the role of advisor familiness and advisor …

Introduction Versatile large language models (LLMs) have the potential to augment
diagnostic decision-making by assisting diagnosticians, thanks to their ability to engage in …

Selection decisions are often affected by irrelevant variables such as gender or race. People
can discount this irrelevant information by adjusting their predictions accordingly, yet they …

Most research on augmented judgment and decision-making is human-centered.
Specifically, Theory of Machine is a conceptual framework for describing and analyzing …

While seeking advice can be beneficial for advisees, advisors may not always possess the
necessary knowledge to provide appropriate guidance. Poor‐quality advice can mislead …

Advice taking and related research is dominated by deterministic weighting indices,
specifically ratio-of-differences-based formulas for investigating informational influence …

Information sampling and utilization are ubiquitous in daily life. Accordingly, both processes
are affected by a variety of environmental factors. This dissertation is primarily concerned …

Abstract (244 words) Research on advice taking has demonstrated a phenomenon of
egocentric discounting: people weight their own estimates more than advice from others …

Advice taking and related research is dominated by deterministic weighting indices,
specifically ratio‐of‐differences‐based formulas for investigating informational influence …