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Cited by 370

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Consumers’ purchase behaviour and green marketing: A synthesis, review and agenda

Sharma, Ajai Pal·2021·International Journal of Consumer Studies

Abstract

The study presents an overview of green marketing and the gap between attitude and actual purchase behaviour of consumers towards green products. A total of 232 studies have been analysed using a systematic review to develop a green purchase decision‐making model. A thematic analysis helped in the identification of three major themes namely; personal factors affecting green purchase; green purchase; and green marketing mix. The concern for eco‐environment, eco‐labelling, past experiences and perceived usefulness have been identified as major influencers of green consumer behaviour. Lack of environmental knowledge, price, perceived associated risks, organizational image, trust, and willingness to pay has been identified as barriers, creating a gap between attitude and actual purchase behaviour of consumers towards green products. On the basis of analysis, a green purchase decision model has been proposed and also potential areas of future research have been suggested.

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Metadata

Authors
Sharma, A. P.
Venue
International Journal of Consumer Studies
Publisher
Wiley
Published
2021-07-11
Volume
45
Issue
6
Pages
1217-1238
ISSN
  • 1470-6423 (ISSN-L)
  • 1470-6431
OpenAlex
W3177093995
Cited by
370
References
22
FWCI
45.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Consumers’ purchase behaviour and green marketing: A synthesis, review and agenda. https://app.cochat.ai/papers/10.1111/ijcs.12722
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Sharma, A. P. (2021). Consumers’ purchase behaviour and green marketing: A synthesis, review and agenda. International Journal of Consumer Studies. https://doi.org/10.1111/ijcs.12722

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.