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 accessAbstract
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
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Cited by
Scientific procedures and rationales for systematic literature reviews (SPAR‐4‐SLR)
Paul, J., Lim, W. M., O’Cass, A., Hao, A. W., & Bresciani, S. (2021) · International Journal of Consumer Studies · doi:10.1111/ijcs.12695 · Cited by 2,364
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“The majority of them only focuses on consumer behaviours (Fogt Jacobsen et al., 2022; White et al., 2019), plastic waste management (Chae and An, 2018; Sarkar et al., 2022), recycling techniques (Franz and Welle, 2022), and supply chain management (Silva and Pålsson, 2022).”
BackgroundHow Do I Carry All This Now?” Understanding Consumer Resistance to Sustainability Interventions
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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
- 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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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.