The Effect of Forced Choice on Choice
By Ravi K. Dhar, Itamar Simonson. 2003
648 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences, Marketing
View Paper: https://www.semanticscholar.org/paper/37c24c20b1b8b361d02cd432ecbbe238a56d5181
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Ran Kivetz
- Itamar Simonson
- Riccardo Scarpa
- John M. Rose
- Ravi K. Dhar
- Peter Goos
- S. Nowlis
- Silvia Ferrini
In General Decision Sciences
In Marketing
- Ran Kivetz
- Ravi K. Dhar
- Itamar Simonson
- Tammo H. A. Bijmolt
- Derek D. Rucker
- R. Wyer
- Uzma Khan
- A. Chernev
Citations in the corpus
- Models and Optimal Designs for Conjoint Choice Experiments Including a No-Choice Option (2008, methodology): “As a matter of fact, forcing a respondent to make a choice in a conjoint choice experiment might lead to biased parameters when analyzing the choice data (Dhar (1997) and Dhar and Simonson (2003)).”
- Alternative Models for Capturing the Compromise Effect (2004, methodology): “We also expect that the power parameters ψk will be greater than 1 (which satisfies the convexity assumption), and we employ attribute-specific power parameters to allow for situations in which the strength of the compromise effect varies across attributes (see Tversky and Simonson 1993). Although T”
- The Effects of Effort and Intrinsic Motivation on Risky Choice (2003, background): “…the relative share of the larger reward, considering that greater effort requirements can lead at some point to heightened expectations that overshadow even the larger reward (see Appendix A, Proposition 2) and can eliminate participation in the program (see also Dhar 1997, Dhar and Simonson 2003).”
- Choice overload: A conceptual review and meta-analysis (2015, background): “…shown to increase the likelihood that a choice will be made from an assortment (Dhar, 1997), whereas adding equally attractive options has been reported to have the opposite effect, increasing the likelihood that choice will be deferred (Dhar, 1997; Dhar & Simonson, 2003; Tversky & Shafir, 1992).”
- When More Alternatives Lead to Less Choice (2010, background): “on the choice problem (e.g., Dhar and Simonson, 2003 ).”
- The impact of offering two versus three alternatives in choice modelling experiments (2009, neutral): “Dhar (1997) and Dhar and Simpson (2003) argue that increasing the complexity of decision environments is more likely to encourage the use of simplifying heuristics, and may result in individuals deferring or avoiding choices.”
- Incorporating Context Effects into a Choice Model (2011, background): “Thus, according to Dhar and Simonson (2003), we expect bh NC_COM 0.”
- In Defense of Consciousness: The Role of Conscious and Unconscious Inputs in Consumer Choice (2005, positive): “Evidently, the addition of the asymmetrically inferior option makes the superior option appear more attractive and easier to justify (e.g., Simonson, 1989), even though consumers fail to recognize the impact of the inferior option on their preferences (e.g., Dhar & Simonson, 2003 ).”
- Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study (2007, background): “The latter is included to avoid the undesirable effects associated with forced choice [22].”
- Seeing the Forest or the Trees: Implications of Construal Level Theory for Consumer Choice (2007, background): “As such, one area of BDT is the study of context effects in choice; the compromise effect and the attraction effect are examples of shifting preferences based on different considerations in a choice situation (cf. Dhar & Simonson, 2003).”