Unfair But Also Unbiased: How Consumer Acceptance of Price-Setting Algorithms Depends on the Basis of Price Discrimination
We examine how the use of price-setting algorithms affects consumers’ fairness perceptions and choices. Consumers generally believe algorithms (vs. humans) are less fair and are less likely to purchase when they are used, but this depends on the basis for price discrimination, and in some cases (e.g., demographic-based) reverses.
Nofar Duani, Alixandra Barasch, and Vicki G. Morwitz (2019) ,"Unfair But Also Unbiased: How Consumer Acceptance of Price-Setting Algorithms Depends on the Basis of Price Discrimination", in NA - Advances in Consumer Research Volume 47, eds. Rajesh Bagchi, Lauren Block, and Leonard Lee, Duluth, MN : Association for Consumer Research, Pages: 78-81.
Nofar Duani, New York University, USA
Alixandra Barasch, New York University, USA
Vicki G. Morwitz, Columbia University, USA
NA - Advances in Consumer Research Volume 47 | 2019
R4. Human Brands and Their Consumers: How Consumers Reform Brand Understandings Following Critical Incidents
Kimberley Mosher Preiksaitis, Siena College
Trust in the Holy or the Material: The Combined Impact of Religiousness and Materialism on Life Satisfaction
Kelly Gabriel, Vilanova University, USA
Aronte Bennett, Vilanova University, USA
Ecce Machina Humana: Examining Competence and Warmth in Consumer Robots The two fundamental social judgment dimensions-competence and warmth-are as relevant for judging consumer robots as for humans. We find that competence has an increasing positive eff