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Cited by 362

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Message framing in green advertising: the effect of construal level and consumer environmental concern

Chang, Hua, Zhang, Lingling, Xie, Guang-Xin·2015·International Journal of Advertising

Abstract

Many firms adopt green advertising and put great emphasis on the value of green marketing strategies. However, little research has examined the effectiveness of green appeal in advertisements. Building on message framing and construal level theory, this study examines the moderating role of temporal distance in effects of gain or loss framed messages on consumers' attitudes and purchase intentions towards advertised brand. The findings demonstrate that a congruency between loss frame and low level construal, as well as the match between gain frame and high level construal, leads to more positive outcomes in consumers' attitudes and purchase intention. Furthermore, this research reveals that salience of the congruency effect varies in line with the level of consumer environmental concern, which has important theoretical and practical implications.

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Crossref · 10.1080/02650487.2014.994731

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Metadata

Authors
Chang, H., Zhang, L., & Xie, G.-X.
Venue
International Journal of Advertising
Published
2015-01
Volume
34
Issue
1
Pages
158-176
ISSN
  • 0265-0487 (ISSN-L)
  • 1759-3948
OpenAlex
W1858694176
Cited by
362
References
64
FWCI
39.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Message framing in green advertising: the effect of construal level and consumer environmental concern. https://app.cochat.ai/papers/10.1080/02650487.2014.994731
The paper
Chang, H., Zhang, L., & Xie, G.-X. (2015). Message framing in green advertising: the effect of construal level and consumer environmental concern. International Journal of Advertising. https://doi.org/10.1080/02650487.2014.994731

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.