Management Faculty Publications
Document Type
Article
Abstract
Some assert that noise (i.e., unwanted variance) is the most neglected yet most important source of error in judgment. We suggest that this problem was discovered nearly 100 years ago in the area of personnel selection and that a century of selection research has shown that noise can be demonstrably reduced by structuring the process (i.e., decomposing the component parts, agreeing on standards, and applying those standards consistently) and by aggregating judgments independently. Algorithms can aid significantly in this process but are often confused with methods that, in their current form, can substantially increase noise in judgment (e.g., artificial intelligence and machine learning).
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Repository Citation
Highhouse, Scott and Brooks, Margaret E., "Improving Workplace Judgments by Reducing Noise: Lessons Learned from a Century of Selection Research" (2023). Management Faculty Publications. 40.
https://scholarworks.bgsu.edu/management_pub/40
Publication Date
2023
Publication Title
Annual Review of Organizational Psychology and Organizational Behavior
Publisher
Annual Reviews
DOI
https://doi.org/10.1146/annurev-orgpsych-120920-050708
Volume
10
Start Page No.
519
End Page No.
533