Abstract
Behavioral decision research has demonstrated that value and uncertainty judgments of decision makers and experts are subject to numerous biases. Individual biases can be either cognitive, such as overconfidence, or motivational, such as wishful thinking. In addition, when making judgements in groups, decision makers and experts might be affected by group-level biases. These biases can create serious challenges to decision analysts, who need judgments as inputs to a decision or risk analysis model, because they can degrade the quality of the analysis. This chapter identifies individual and group biases relevant for decision and risk analysis and suggests tools for debiasing judgements for each type of bias.
| Original language | English |
|---|---|
| Title of host publication | International Series in Operations Research and Management Science |
| Publisher | Springer New York LLC |
| Pages | 377-392 |
| Number of pages | 16 |
| DOIs | |
| State | Published - 2018 |
| Externally published | Yes |
Publication series
| Name | International Series in Operations Research and Management Science |
|---|---|
| Volume | 261 |
| ISSN (Print) | 0884-8289 |
Bibliographical note
Publisher Copyright:© 2018, Springer International Publishing AG.
ASJC Scopus subject areas
- Software
- Computer Science Applications
- Strategy and Management
- Management Science and Operations Research
- Applied Mathematics