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Cited by 412

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Green or Non-Green? Does Type of Appeal Matter When Advertising a Green Product?

Schuhwerk, Melody E., Lefkoff-Hagius, Roxanne·1995·Journal of Advertising

Abstract

This research examined how consumers responded to different print advertisements for a green laundry detergent. Hypotheses based on the salience literature were developed and tested in a laboratory experiment. One group considered a “green” appeal which emphasized the environmental attributes of the product. Another group considered a “non-green” appeal which emphasized the cost-saving attributes of the product. We measured each subject's involvement with the environment. Our results showed that for those highly involved with the environment, there were no significant differences in purchase intent, attitude toward the ad, and support arguments between appeals. However, for those less involved with the environment, the green appeal was significantly more persuasive than the non-green appeal in terms of the same variables.

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Citations

Cites

Show all 1 references

Research works printed but not linked: 29

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Metadata

Authors
Schuhwerk, M. E., & Lefkoff-Hagius, R.
Venue
Journal of Advertising
Published
1995-06
Volume
24
Issue
2
Pages
45-54
ISSN
  • 0091-3367 (ISSN-L)
  • 1557-7805
OpenAlex
W2000225228
Cited by
412
References
1
FWCI
3.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Green or Non-Green? Does Type of Appeal Matter When Advertising a Green Product? https://app.cochat.ai/papers/10.1080/00913367.1995.10673475
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Schuhwerk, M. E., & Lefkoff-Hagius, R. (1995). Green or Non-Green? Does Type of Appeal Matter When Advertising a Green Product? Journal of Advertising. https://doi.org/10.1080/00913367.1995.10673475

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.