Choice Environment, Market Complexity, and Consumer Behavior: A Theoretical and Empirical Approach for Incorporating Decision Complexity into Models of Consumer Choice

By Joffre Swait, Wiktor L. Adamowicz. 2001

387 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Marketing

View Paper: https://www.semanticscholar.org/paper/a03e589bac0dc7864fd140ab36556459388dc374

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

1. Stephane Hess
2. John M. Rose
3. Jordan J. Louviere
4. David A. Hensher
5. S. B. Olsen
6. Riccardo Scarpa
7. N. Hanley
8. David Hoyos

In General Decision Sciences

1. Stephane Hess
2. John M. Rose
3. David A. Hensher
4. Jordan J. Louviere
5. S. B. Olsen
6. Riccardo Scarpa
7. David Hoyos
8. N. Hanley

In Marketing

1. John M. Rose
2. Stephane Hess
3. Jordan J. Louviere
4. David A. Hensher
5. S. B. Olsen
6. N. Hanley
7. Riccardo Scarpa
8. Towhidul Islam

Citations in the corpus

• The Application of Factorial Surveys in General Population Samples: The Effects of Respondent Age and Education on Response Times and Response Consistency (2011, methodology): “Following similar approaches in the research into the response consistency in choice experiments (Caussade et al. 2005; Swait and Adamowicz 2001), the analysis was based on the unexplained variance in the vignette judgments.”
• Revealing Differences in Willingness to Pay due to the Dimensionality of Stated Choice Designs: An Initial Assessment (2006, methodology): “The dimensionality of the choice experiment can be viewed within a framework that reveals the degree of complexity and cognitive burden (Swait and Adamowicz 2001, 2001a) of the choice task.”
• Augmenting short Cheap Talk scripts with a repeated Opt-Out Reminder in Choice Experiment surveys (2014, background): “Several authors have found evidence of choice complexity in CE leading to seemingly irrational behaviour (Bradley and Daly 1994; Mazzotta and Opaluch 1995; Swait and Adamowicz 2001; DeShazo and Fermo 2002; Caussade et al. 2005).”
• Modeling the choices of individual decision-makers by combining efficient choice experiment designs with extra preference information (2008, background): “sociated with evaluating and making choices among five options, which should be more difficult cognitively (see also DeShazo and Fermo 2002; Swait and Adamowicz 2001).”
• Conducting Discrete Choice Experiments to Inform Healthcare Decision Making (2012, background): “class models[74] and heteroscedastic error variance models.[66,75,76] While highly flexible, a potential 3.”
• Can scale and coefficient heterogeneity be separated in random coefficients models? (2012, methodology): “…the basis of measurable information relating to the respondent or the choice environment, using a Heteroscedastic Multinomial Logit (HMNL) model (see e.g. Caussade et al., 2005; Dellaert et al., 1999; Hensher et al., 1998; Louviere et al., 2000; Swait and Adamowicz, 2001; Swait and Louviere, 1993).”