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Of clouds and zombies: How and when analogical learning improves evaluations of really new products
Author(s) -
Herzenstein Michal,
Hoeffler Steve
Publication year - 2016
Publication title -
journal of consumer psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.433
H-Index - 110
eISSN - 1532-7663
pISSN - 1057-7408
DOI - 10.1016/j.jcps.2016.01.002
Subject(s) - analogy , inference , product (mathematics) , domain (mathematical analysis) , computer science , base (topology) , analogical reasoning , completeness (order theory) , artificial intelligence , natural language processing , epistemology , mathematics , philosophy , mathematical analysis , geometry
Really new products (RNPs) defy classification within existing categories while challenging consumers' prior knowledge and thus are often difficult to fully appreciate. Using analogies to help consumers learn about novel features and benefits is one approach proposed in the new product literature. We examine the impact of revealing more stages of an analogy (access, mapping/transfer, and inference) and the proximity of the base domain of the analogy on evaluations of an RNP. When the base domain is similar to the new product, adding mapping/transfer information leads to more favorable evaluations, while adding the desired inference reduces evaluations. However, when the base domain is distant from the new product, revealing more information on the analogy leads to higher evaluations of RNPs. The enjoyment that arises from solving the analogy mediates the relationship between analogy completeness and product evaluations.