An overview of the effects of algorithm use on judgmental biases affecting forecasting
Date Issued
2025-04
Author(s) USM
DOI
10.1016/j.ijforecast.2024.09.007
Abstract
In the realm of forecasting, judgmental biases often hinder efficiency and accuracy. Algorithms present a promising avenue for decision makers to enhance their forecasting performance. In this overview, we scrutinized the occurrence of the most relevant j
