A literature review of the anchoring effect
By Adrian Furnham, Hua Chu Boo. 2011
1,087 citations recorded by the source corpus.
Subfields: Artificial Intelligence, General Decision Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/8eb5151e1625d85a542b6b08e8f821aa81fe8a38
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In General Decision Sciences
- Brendan A. Wintle
- Stephan G. Grimmelikhuijsen
- Mark A. Burgman
- Anca M. Hanea
- M. McBride
- Victoria Hemming
- Gregory A. Porumbescu
In Management Science and Operations Research
Citations in the corpus
- Expasy, the Swiss Bioinformatics Resource Portal, as designed by its users (2021, neutral): “As for the development of the new release, a few key points had to be considered: To increase speed of development and ensure user satisfaction, we opted for an agile methodology (https:// agilemanifesto.org).”
- A practical guide to structured expert elicitation using the IDEA protocol (2018, background): “Common problems include overconfidence (Soll & Klayman, 2004; Speirs- Bridge et al., 2010), anchoring (Furnham & Boo, 2011; Tversky & Kahneman, 1975), failure to adequately consider counterfactual information (Nickerson, 1998), linguistic ambiguity (Kent, 1964; Wallsten et al., 1986) and groupthink…”
- Reconsidering the expectancy disconfirmation model. Three experimental replications (2017, background): “The anchoring effect is one of the most robust cognitive heuristics uncovered to date and psychologists have found the existence of this effect across various settings, such as in probability estimation, legal judgments, and performance ratings (Furnham and Boo 2011).”