542
Views
2
CrossRef citations to date
0
Altmetric
Articles

Theory application in food waste behaviour programs: a systematic literature review

ORCID Icon, & ORCID Icon
Pages 344-367 | Published online: 26 Jan 2023
 

ABSTRACT

Food waste is a significant environmental, economic, and social issue contributing to global warming. The benefits of theoretically informed programs have been verified in psychology, social science, and education, yet our understanding of theory application in food waste behaviour change is scarce. To understand how food waste can be reduced, we need to understand what works, when, where and why. Assessing the extent of theory use in the context of food waste behaviour is needed to advance progress. Following the approach employed in Willmott et al. (2019) this study sought to assess the extent of theory application in studies aiming to reduce household food waste. A systematic search and review of published studies concerning household food waste behaviour was conducted. Of 3,532 studies, nine studies met the inclusion criteria. Eight studies mentioned a theory, however, the association between program strategies implemented and the theory base reported was lacking. This review concludes there is considerable room for improvement in theory reporting to indicate clearly how theory is applied to reduce household food waste behaviour.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 The items are described under results.

 

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 252.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.