Many buying decisions require predictions of another person’s product attitudes. Yet, consumers are often inaccurate predictors, even for familiar others. We provide strong evidence that target familiarity can even hurt accuracy in the presence of attitude feedback. Although overprojection and lack of product-specific attitude information have been identified as possible reasons for prediction inaccuracy, our results suggest a retrieval explanation. When presented with product-specific at-titude feedback, predictors adapted their level of projection and encoded theattitude information, but they did not use this information. Instead, they retrieved less di-agnostic, pre-stored information about the familiar targets to predict their product a...
Knowledge about other people's preferences is essential for successful social interactions, but what...
Consumers tend to see themselves in a positive light, yet we present evidence that they are pessimis...
Sales forecasters in industries like fast-fashion face challenges posed by short and highly volatile...
Many buying decisions require predictions of another person's product attitudes. Yet, consumers are ...
Many buying decisions require predictions of another person's product attitudes. Yet, consumers are ...
Many buying decisions require predictions of another person's product attitudes. Yet, consumers are ...
Previous research suggests that consumers tend to use indications of products’ popularity to a great...
Can marketers accurately predict consumer preferences for new products? Accurate prediction of these...
Consumers infer their best product choice from comparative information about themselves and products...
Consumers increasingly depend on online word-of-mouth to inform their purchase decisions. Thanks to ...
This dissertation examines consumers\u27 ability to accurately anticipate the hedonic value they wil...
Knowledge about other people's preferences is essential for successful social interactions, but what...
Designers do not merely develop concepts; they are increasingly involved in testing product concepts...
Consumers infer their best product choice from comparative information about themselves and products...
The impact of familiarity on consumer decision biases and heuristics is examined. Subjects at three ...
Knowledge about other people's preferences is essential for successful social interactions, but what...
Consumers tend to see themselves in a positive light, yet we present evidence that they are pessimis...
Sales forecasters in industries like fast-fashion face challenges posed by short and highly volatile...
Many buying decisions require predictions of another person's product attitudes. Yet, consumers are ...
Many buying decisions require predictions of another person's product attitudes. Yet, consumers are ...
Many buying decisions require predictions of another person's product attitudes. Yet, consumers are ...
Previous research suggests that consumers tend to use indications of products’ popularity to a great...
Can marketers accurately predict consumer preferences for new products? Accurate prediction of these...
Consumers infer their best product choice from comparative information about themselves and products...
Consumers increasingly depend on online word-of-mouth to inform their purchase decisions. Thanks to ...
This dissertation examines consumers\u27 ability to accurately anticipate the hedonic value they wil...
Knowledge about other people's preferences is essential for successful social interactions, but what...
Designers do not merely develop concepts; they are increasingly involved in testing product concepts...
Consumers infer their best product choice from comparative information about themselves and products...
The impact of familiarity on consumer decision biases and heuristics is examined. Subjects at three ...
Knowledge about other people's preferences is essential for successful social interactions, but what...
Consumers tend to see themselves in a positive light, yet we present evidence that they are pessimis...
Sales forecasters in industries like fast-fashion face challenges posed by short and highly volatile...