Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 785

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

The Identity Salience Model of Relationship Marketing Success: The Case of Nonprofit Marketing

Arnett, Dennis B., German, Steve D., Hunt, Shelby D.·2003·Journal of Marketing
DOI 10.1509/jmkg.67.2.89.18614
Open this paper in CoChat — free account

Abstract

Researchers suggest that developing long-term relationships with key stakeholders is an important strategy in today's intensely competitive business environment. Many organizations have embraced this concept, which is referred to as relationship marketing. Much of the research on relationship marketing success has examined relationships that (1) are primarily economic in nature, (2) involve business-to-business marketing, and (3) involve for-profit firms. However, the authors argue that relationship marketing is a viable strategy in such contexts as those involving high levels of social exchange, business-to-consumer marketing, and nonprofit marketing. In these contexts, relationship marketing success may require different relationship characteristics from those identified in previous research. The authors develop “the identity salience model of relationship marketing success,” which they posit is useful for explaining relationship marketing success in exchange relationships that (1) involve individuals and (2) are based primarily on social exchange. The authors further develop and test the model in the context of nonprofit higher education marketing. The results provide support for the model.

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 · 10.1509/jmkg.67.2.89.18614

Cites

13 of 13 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

Cited by

See all 785

Metadata

Authors
Arnett, D. B., German, S. D., & Hunt, S. D.
Venue
Journal of Marketing
Publisher
SAGE Publications
Published
2003-04
Volume
67
Issue
2
Pages
89-105
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
DOI
10.1509/jmkg.67.2.89.18614
OpenAlex
W2149949933
Cited by
785
References
13
FWCI
23.15
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.