The DOI matches its Crossref record.
Perceived Risk and Consumer Decision-Making—The Case of Telephone Shopping
Abstract
Telephone shopping is in many ways the easiest and most convenient mode of shopping ever devised. Yet the majority of women surveyed did not shop by telephone during the course of a year. Why? The authors examine various determinants of telephone shopping and present data which suggest that the nature and degree of risk perceived by the consumer, and the manner in which she deals with perceived risk, are important determinants of decisions: a) whether to shop by telephone, and b) what items to buy by telephone.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Predicting e-services adoption: A perceived risk facets perspective
Featherman, M. S., & Pavlou, P. A. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00111-3 · Cited by 3,351
The role played by perceived usability, satisfaction and consumer trust on website loyalty
Flavián, C., Guinalíu, M., & Gurrea, R. (2006) · Information & Management · doi:10.1016/j.im.2005.01.002 · Cited by 1,684
Consumer perceived risk: conceptualisations and models
Mitchell, V. (1999) · European Journal of Marketing · doi:10.1108/03090569910249229 · Cited by 1,582
Consumer patronage and risk perceptions in Internet shopping
Forsythe, S. M., & Shi, B. (2003) · Journal of Business Research · doi:10.1016/s0148-2963(01)00273-9 · Cited by 1,433
External Search Effort: An Investigation Across Several Product Categories
Beatty, S. E., & Smith, S. M. (1987) · Journal of Consumer Research · doi:10.1086/209095 · Cited by 1,302
Metadata
- Authors
- Cox, D. F., & Rich, S. U.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 1964-11
- Volume
- 1
- Issue
- 4
- Pages
- 32-39
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W2037326931
- Cited by
- 926
- References
- 0
- FWCI
- 9.10
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Perceived Risk and Consumer Decision-Making—The Case of Telephone Shopping. https://app.cochat.ai/papers/10.1177/002224376400100405
- The paper
- Cox, D. F., & Rich, S. U. (1964). Perceived Risk and Consumer Decision-Making—The Case of Telephone Shopping. Journal of Marketing Research. https://doi.org/10.1177/002224376400100405
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.
