The DOI matches its Crossref record.
Risk-Reduction Processes in Repetitive Consumer Behavior
Abstract
This experimental study of consumer decision making over time explored risk-reduction processes of information seeking, prepurchase deliberation, and brand loyalty. Perceived risk was manipulated by creating low-risk and high-risk groups. The task was to choose among brands of hair spray. Results showed that information seeking and prepurchase deliberation declined over time and brand loyalty increased over time.
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Citations
Cited by
Measuring the involvement construct
Zaichkowsky, J. L. (1985) · Journal of Consumer Research · doi:10.1086/208520 · Cited by 6,013
Familiarity and Its Impact on Consumer Decision Biases and Heuristics
Park, C. W., & Lessig, V. P. (1981) · Journal of Consumer Research · doi:10.1086/208859 · Cited by 962
Atkinson, L., & Rosenthal, S. (2014) · Journal of Advertising · doi:10.1080/00913367.2013.834803 · Cited by 620
Perceived risk: The concept and its measurement
Dowling, G. R. (1986) · Psychology & Marketing · doi:10.1002/mar.4220030307 · Cited by 551
Confused by too many choices? Choice overload in tourism
Park, J.-Y., & Jang, S. (. (2013) · Tourism Management · doi:10.1016/j.tourman.2012.05.004 · Cited by 171
Metadata
- Authors
- Sheth, J. N., & Venkatesan, M.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 1968-08
- Volume
- 5
- Issue
- 3
- Pages
- 307-310
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W2322122404
- Cited by
- 268
- References
- 0
- FWCI
- 8.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Risk-Reduction Processes in Repetitive Consumer Behavior. https://app.cochat.ai/papers/10.1177/002224376800500311
- The paper
- Sheth, J. N., & Venkatesan, M. (1968). Risk-Reduction Processes in Repetitive Consumer Behavior. Journal of Marketing Research. https://doi.org/10.1177/002224376800500311
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
