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Dimensions of Consumer Information Seeking Behavior
Abstract
In a comprehensive study of the behaviors and correlates of information seeking by Australian new car buyers, the authors examine three dimensions of information seeking—a sources of information dimension, a brand dimension, and a time dimension. Cluster analysis is used to develop consumer taxonomies of search behavior based on measurements of each of the dimensions. The resulting taxonomies are a high search group, a low search group, and three clusters collectively styled selective information seekers. Examination of the correlates of the individual search dimensions suggests that only certain predictors of search behavior are related to the different search dimensions.
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Citations
Cited by
Dimensions of Consumer Expertise
Alba, J. W., & Hutchinson, J. W. (1987) · Journal of Consumer Research · doi:10.1086/209080 · Cited by 4,375
Harrison-Walker, L. J. (2001) · Journal of Service Research · doi:10.1177/109467050141006 · Cited by 1,583
A multi-stage model of word-of-mouth influence through viral marketing
De Bruyn, A., & Lilien, G. L. (2008) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2008.03.004 · Cited by 906
A Model of Tourist Information Search Behavior
Fodness, D., & Murray, B. (1999) · Journal of Travel Research · doi:10.1177/004728759903700302 · Cited by 531
Reasons for Substantial Delay in Consumer Decision Making
Greenleaf, E. A., & Lehmann, D. R. (1995) · Springer eBooks · doi:10.1007/978-3-031-88067-4_10 · Cited by 409
Metadata
- Authors
- Kiel, G. C., & Layton, R. A.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 1981-05
- Volume
- 18
- Issue
- 2
- Pages
- 233-239
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W2065549341
- Cited by
- 360
- References
- 0
- FWCI
- 25.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kiel, G. C., & Layton, R. A. (1981). Dimensions of Consumer Information Seeking Behavior. Journal of Marketing Research. https://doi.org/10.1177/002224378101800210
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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.