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Cited by 457

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

Religious Contrasts in Consumer Decision Behaviour Patterns: Their Dimensions and Marketing Implications

Delener, Nejdet·1994·European Journal of Marketing

Abstract

Studying the influence of the religious construct on consumer decision making is important owing to its stability over time and the observable nature of many of its elements. This research is, therefore, designed to explore the relationships between religiosity and consumer‐related marital roles in the process of automobile purchase decision making. Data were collected from Catholic and Jewish households residing in the North‐East region of the USA. Findings suggest that differential role behaviour varies according to religious influences. Results may imply that marketers should seek a niche within a given market. Marketing should not be seen as a quick‐fix solution for current problems, but rather entailing sensitivity in meeting the needs and wants of the consumers served. In developing marketing mix strategies, the importance of the decision maker′s religiousness must be considered. Specifically, enhanced knowledge of religious differences in consumption decision processes should have significant impact on the effectiveness of global marketing strategies.

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Metadata

Authors
Delener, N.
Venue
European Journal of Marketing
Publisher
Emerald
Published
1994-05-01
Volume
28
Issue
5
Pages
36-53
ISSN
0309-0566 (ISSN-L)
OpenAlex
W2133385622
Cited by
457
References
3
FWCI
3.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Religious Contrasts in Consumer Decision Behaviour Patterns: Their Dimensions and Marketing Implications. https://app.cochat.ai/papers/10.1108/03090569410062023
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Delener, N. (1994). Religious Contrasts in Consumer Decision Behaviour Patterns: Their Dimensions and Marketing Implications. European Journal of Marketing. https://doi.org/10.1108/03090569410062023

Data sources

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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.