Modeling Variation in Brand Preference: The Roles of Objective Environment and Motivating Conditions

By Sha Yang, Gerg M. Allenby, Geraldine Fennel. 2002

121 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Marketing

View Paper: https://www.semanticscholar.org/paper/30d8348509f506a815acd7ee3b03c0be43bffb50

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. Greg M. Allenby
2. Philippe Kitchen
3. Yann Truong
4. R. McColl
5. Sha Yang
6. Barry L. Bayus
7. Priya Raghubir
8. Chandra R. Bhat

In General Decision Sciences

1. Greg M. Allenby
2. Philippe Kitchen
3. Yann Truong
4. R. McColl
5. Sha Yang
6. Priya Raghubir

In Marketing

1. Sha Yang
2. Joachim Büschken
3. Greg M. Allenby
4. Philippe Kitchen
5. Yann Truong
6. R. McColl
7. Barry L. Bayus
8. Priya Raghubir

Citations in the corpus

• Can bottles speak volumes? The effect of package shape on how much to buy (2005, background): “It is especially important here to model the unobserved heterogeneity because the motives under study do not completely capture the situational influence on individuals’ tastes (Yang et al. 2002).”
• Sentence-Based Text Analysis for Customer Reviews (2016, background): “context-dependent or structural heterogeneity (Kamakura et al. 1996; Yang and Allenby 2000; Yang et al. 2002) that allows the model likelihood to vary across observations.”
• Uncovering the relationships between aspirations and luxury brand preference (2010, methodology): “As noted by previous researchers (Shapiro and Spence, 2002; Yang et al., 2002), one effective method in order to investigate the effects of antecedents on consumer behavior is through multiple regression analysis using structural equation modeling.”
• Product Complements and Substitutes in the Real World: The Relevance of “Other Products” (2004, background): “Purpose (which is sometimes implicit in a usage or purchase situation) provides coherence for the multicategory decision by helping define the benefits that the buyer wants (Bagozzi and Dholakia 1999; Yang, Allenby, and Fennell 2002).”
• The Effectiveness of Demographic and Psychographic Variables for Explaining Brand and Product Category Use (2003, methodology): “…expressed as concerns and interests associated with a specific occasion of an activity, have been successfully related to brand and attribute preference (Yang et al., 2002) and can be used as basis variables in market segmentation analysis (Allenby et al., 2002; Fennell and Allenby, 2002).”