Protection of prior learning in complex consumer learning environments

Marcus Cunha, Chris Janiszewski, Juliano Laran

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


As a product category evolves, consumers have the opportunity to learn a series of feature-benefit associations. Initially, consumers learn that some features predict a critical benefit, whereas other features do not. Subsequently, consumers have the opportunity to assess if previously predictive features, or novel features, predict new product benefits. Surprisingly, later learning is characterized by attenuated learning about previously predictive features relative to novel features. This tendency to ignore previously predictive features is consistent with a desire to protect prior learning.

Original languageEnglish (US)
Pages (from-to)850-864
Number of pages15
JournalJournal of Consumer Research
Issue number6
StatePublished - Apr 2008
Externally publishedYes

ASJC Scopus subject areas

  • Business and International Management
  • Anthropology
  • Arts and Humanities (miscellaneous)
  • Economics and Econometrics
  • Marketing


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