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Cited by 2,386

The DOI matches its Crossref record; 360 of the 360 references it cites were found in a registry or an index.

How to SHIFT Consumer Behaviors to be More Sustainable: A Literature Review and Guiding Framework

Open access
White, Katherine, Habib, Rishad, Hardisty, David J.·2019·Journal of Marketing
DOI 10.1177/0022242919825649
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Abstract

Highlighting the important role of marketing in encouraging sustainable consumption, the current research presents a review of the academic literature from marketing and behavioral science that examines the most effective ways to shift consumer behaviors to be more sustainable. In the process of the review, the authors develop a comprehensive framework for conceptualizing and encouraging sustainable consumer behavior change. The framework is represented by the acronym SHIFT, and it proposes that consumers are more inclined to engage in pro-environmental behaviors when the message or context leverages the following psychological factors: Social influence, Habit formation, Individual self, Feelings and cognition, and Tangibility. The authors also identify five broad challenges to encouraging sustainable behaviors and use these to develop novel theoretical propositions and directions for future research. Finally, the authors outline how practitioners aiming to encourage sustainable consumer behaviors can use this framework.

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Citations

Cites

Items 201–360 of 360

Research works printed but not linked: 21

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Metadata

Authors
White, K., Habib, R., & Hardisty, D. J.
Venue
Journal of Marketing
Publisher
SAGE Publications
Published
2019-02-14
Volume
83
Issue
3
Pages
22-49
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
DOI
10.1177/0022242919825649
OpenAlex
W2912633426
Cited by
2,386
References
360
FWCI
186.98
Type
journal article
Language
en
Open access
bronze
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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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.