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The Effects of Product Class Knowledge on Information Search Behavior
Abstract
The effects of prior knowledge about a product class on various characteristics of pre-purchase information search within that product class are examined. A new search task methodology is used that imposes only a limited amount of structure on the search task: subjects are not cued with a list of attributes, and the problem is not structured in a brand-by-attribute matrix. The results indicate that prior knowledge facilitates the acquisition of new information and increases search efficiency. The results also support the conceptual distinction between objective and subjective knowledge.
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Citations
Cited by
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Alba, J. W., & Hutchinson, J. W. (1987) · Journal of Consumer Research · doi:10.1086/209080 · Cited by 4,375
Targeting consumers who are willing to pay more for environmentally friendly products
Laroche, M., Bergeron, J., & Barbaro‐Forleo, G. (2001) · Journal of Consumer Marketing · doi:10.1108/eum0000000006155 · Cited by 2,974
The role of involvement in attention and comprehension processes
Celsi, R. L., & Olson, J. C. (1988) · Journal of Consumer Research · doi:10.1086/209158 · Cited by 2,070
Word-of-Mouth Processes within a Services Purchase Decision Context
Bansal, H. S., & Voyer, P. A. (2000) · Journal of Service Research · doi:10.1177/109467050032005 · Cited by 1,334
Metadata
- Authors
- Brucks, M.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1985-06
- Volume
- 12
- Issue
- 1
- Pages
- 1
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2055194045
- Cited by
- 1,988
- References
- 0
- FWCI
- 41.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Brucks, M. (1985). The Effects of Product Class Knowledge on Information Search Behavior. Journal of Consumer Research. https://doi.org/10.1086/209031
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.