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Ugly produce and food waste management: an analysis based on a social cognitive perspective

Ugly produce and food waste management: an analysis based on a social cognitive perspective
Ugly produce and food waste management: an analysis based on a social cognitive perspective

Despite a proliferation of literature exploring and testing marketing measures to overcome consumer barriers towards ugly produce, acceptance of it and the adoption of sustainable behaviours remain far from unanimous. The current research explores the role of an #imperfect-produce Instagram community in fostering shared knowledge and beliefs that establish positive social norms towards ugly produce. We employed a non-random sampling methodology to analyse the #imperfect-produce community on Instagram, chosen for its active and abundant nature in documenting visually imperfect produce. Following a comprehensive inclusion/exclusion criterion, we collected a sample of posts spanning May 2021 to May 2023 and conducted a thematic approach to analyse the data through manual sifting and coding. Four themes of shared content emerged within the hashtag thread, highlighting distinct unidirectional causal relationships among the three factors (Behavioural, Personal and Environmental) of social cognitive theory (SCT). The findings indicate that online communities formed by like-minded individuals create supportive communities that normalise sustainable behaviours and encourage social modelling. This research offers managers and marketers valuable insights into leveraging online communities and provides a foundation for future research. It also addresses a critical gap in SCT literature, which has previously neglected the impact of contextual factors.

Food waste, Non-participant observation, Online communities, Social cognitive theory, Thematic analysis, Ugly food management
0969-6989
Young, Aiden
6f63e0b5-7a70-425b-a551-eb00e2d48033
Sima, Herbert
be4a0673-5b58-48e2-8039-19cdb9cf5f9b
Luo, Na
b313184e-0f95-4241-9015-48d44777db00
Wu, Sihong
25b1dc95-1d21-477c-b86b-9c26b85eb3d0
Gong, Yu
86c8d37a-744d-46ab-8b43-18447ccaf39c
Qian, Xiaoyan
62839798-4eea-4d6c-b30e-98b2275ef535
Young, Aiden
6f63e0b5-7a70-425b-a551-eb00e2d48033
Sima, Herbert
be4a0673-5b58-48e2-8039-19cdb9cf5f9b
Luo, Na
b313184e-0f95-4241-9015-48d44777db00
Wu, Sihong
25b1dc95-1d21-477c-b86b-9c26b85eb3d0
Gong, Yu
86c8d37a-744d-46ab-8b43-18447ccaf39c
Qian, Xiaoyan
62839798-4eea-4d6c-b30e-98b2275ef535

Young, Aiden, Sima, Herbert, Luo, Na, Wu, Sihong, Gong, Yu and Qian, Xiaoyan (2024) Ugly produce and food waste management: an analysis based on a social cognitive perspective. Journal of Retailing and Consumer Services, 79, [103829]. (doi:10.1016/j.jretconser.2024.103829).

Record type: Article

Abstract

Despite a proliferation of literature exploring and testing marketing measures to overcome consumer barriers towards ugly produce, acceptance of it and the adoption of sustainable behaviours remain far from unanimous. The current research explores the role of an #imperfect-produce Instagram community in fostering shared knowledge and beliefs that establish positive social norms towards ugly produce. We employed a non-random sampling methodology to analyse the #imperfect-produce community on Instagram, chosen for its active and abundant nature in documenting visually imperfect produce. Following a comprehensive inclusion/exclusion criterion, we collected a sample of posts spanning May 2021 to May 2023 and conducted a thematic approach to analyse the data through manual sifting and coding. Four themes of shared content emerged within the hashtag thread, highlighting distinct unidirectional causal relationships among the three factors (Behavioural, Personal and Environmental) of social cognitive theory (SCT). The findings indicate that online communities formed by like-minded individuals create supportive communities that normalise sustainable behaviours and encourage social modelling. This research offers managers and marketers valuable insights into leveraging online communities and provides a foundation for future research. It also addresses a critical gap in SCT literature, which has previously neglected the impact of contextual factors.

Text
Young et al. (2024) ugly food - Accepted Manuscript
Restricted to Repository staff only until 28 March 2027.
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More information

Accepted/In Press date: 19 March 2024
e-pub ahead of print date: 28 March 2024
Published date: 28 March 2024
Keywords: Food waste, Non-participant observation, Online communities, Social cognitive theory, Thematic analysis, Ugly food management

Identifiers

Local EPrints ID: 489524
URI: http://eprints.soton.ac.uk/id/eprint/489524
ISSN: 0969-6989
PURE UUID: 32c43d96-c437-4dd0-9926-2a2cd62d83ee
ORCID for Yu Gong: ORCID iD orcid.org/0000-0002-5411-376X

Catalogue record

Date deposited: 26 Apr 2024 16:37
Last modified: 27 Apr 2024 01:58

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Contributors

Author: Aiden Young
Author: Herbert Sima
Author: Na Luo
Author: Sihong Wu
Author: Yu Gong ORCID iD
Author: Xiaoyan Qian

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