Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 317

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

An Integrated Approach toward the Spatial Modeling of Perceived Customer Value

Sinha, Indrajit, DeSarbo, Wayne S.·1998·Journal of Marketing Research
DOI 10.1177/002224379803500209
Open this paper in CoChat — free account

Abstract

The authors present a new measurement methodology of perceived value, based on latent structure multidimensional scaling, that derives simultaneously the underlying dimensions of the perceived value of various brands and market segment heterogeneity in terms of how such value evaluations are made. This latent structure, ordered probit, multidimensional scaling (MDS) based methodology improves on existing industry techniques of illustrating perceived customer value because it enables researchers to infer the underlying dimensions of perceived value from the data without specifying these a priori, as is common in existing methods. The authors compare the proposed model against more traditional MDS approaches in an empirical illustration involving the perceived value of compact cars. Finally, the authors discuss managerial implications of this technique and provide directions for further research.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/002224379803500209

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 3 references

Cited by

Metadata

Authors
Sinha, I., & DeSarbo, W. S.
Venue
Journal of Marketing Research
Publisher
SAGE Publications
Published
1998-05
Volume
35
Issue
2
Pages
236-249
ISSN
  • 0022-2437 (ISSN-L)
  • 1547-7193
DOI
10.1177/002224379803500209
OpenAlex
W3121529737
Cited by
317
References
3
FWCI
13.51
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

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.