Investigating consumers’ experiences with community supported agriculture: Convergent parallel design methods

Community-supported agriculture (CSA) represents a collaborative model where local farms and community members form partnerships to facilitate the direct delivery of fresh produce from farms to consumers. This study primarily investigates the experiences of current CSA members, focusing on the key f...

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Published inPloS one Vol. 19; no. 5; p. e0303184
Main Authors Huang, Yuanyuan, Wang, Yuhan, Pan, Younghwan
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 13.05.2024
Public Library of Science (PLoS)
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Abstract Community-supported agriculture (CSA) represents a collaborative model where local farms and community members form partnerships to facilitate the direct delivery of fresh produce from farms to consumers. This study primarily investigates the experiences of current CSA members, focusing on the key factors influencing their retention intentions. Employing a convergent parallel mixed methods approach, this study gathers and analyzes both quantitative data (such as factors affecting members’ retention intentions) and qualitative data (derived from interviews reflecting members’ perceptions of their CSA experiences). The integration of these datasets provides a comprehensive understanding of the factors that shape CSA membership dynamics. The research findings underscore that Convenience , Product Quality , and Positive Interactions are pivotal factors that contribute to members’ Intentions to continue their CSA memberships. These insights are crucial for enhancing the services provided to CSA members and hold significant implications for the broader scope of CSA membership research. This study not only fills a critical gap in understanding the Chinese CSA context but also contributes to the global discourse on sustainable agriculture practices and community engagement.
AbstractList Community-supported agriculture (CSA) represents a collaborative model where local farms and community members form partnerships to facilitate the direct delivery of fresh produce from farms to consumers. This study primarily investigates the experiences of current CSA members, focusing on the key factors influencing their retention intentions. Employing a convergent parallel mixed methods approach, this study gathers and analyzes both quantitative data (such as factors affecting members' retention intentions) and qualitative data (derived from interviews reflecting members' perceptions of their CSA experiences). The integration of these datasets provides a comprehensive understanding of the factors that shape CSA membership dynamics. The research findings underscore that Convenience, Product Quality, and Positive Interactions are pivotal factors that contribute to members' Intentions to continue their CSA memberships. These insights are crucial for enhancing the services provided to CSA members and hold significant implications for the broader scope of CSA membership research. This study not only fills a critical gap in understanding the Chinese CSA context but also contributes to the global discourse on sustainable agriculture practices and community engagement.
Community-supported agriculture (CSA) represents a collaborative model where local farms and community members form partnerships to facilitate the direct delivery of fresh produce from farms to consumers. This study primarily investigates the experiences of current CSA members, focusing on the key factors influencing their retention intentions. Employing a convergent parallel mixed methods approach, this study gathers and analyzes both quantitative data (such as factors affecting members’ retention intentions) and qualitative data (derived from interviews reflecting members’ perceptions of their CSA experiences). The integration of these datasets provides a comprehensive understanding of the factors that shape CSA membership dynamics. The research findings underscore that Convenience , Product Quality , and Positive Interactions are pivotal factors that contribute to members’ Intentions to continue their CSA memberships. These insights are crucial for enhancing the services provided to CSA members and hold significant implications for the broader scope of CSA membership research. This study not only fills a critical gap in understanding the Chinese CSA context but also contributes to the global discourse on sustainable agriculture practices and community engagement.
Community-supported agriculture (CSA) represents a collaborative model where local farms and community members form partnerships to facilitate the direct delivery of fresh produce from farms to consumers. This study primarily investigates the experiences of current CSA members, focusing on the key factors influencing their retention intentions. Employing a convergent parallel mixed methods approach, this study gathers and analyzes both quantitative data (such as factors affecting members' retention intentions) and qualitative data (derived from interviews reflecting members' perceptions of their CSA experiences). The integration of these datasets provides a comprehensive understanding of the factors that shape CSA membership dynamics. The research findings underscore that Convenience, Product Quality, and Positive Interactions are pivotal factors that contribute to members' Intentions to continue their CSA memberships. These insights are crucial for enhancing the services provided to CSA members and hold significant implications for the broader scope of CSA membership research. This study not only fills a critical gap in understanding the Chinese CSA context but also contributes to the global discourse on sustainable agriculture practices and community engagement.Community-supported agriculture (CSA) represents a collaborative model where local farms and community members form partnerships to facilitate the direct delivery of fresh produce from farms to consumers. This study primarily investigates the experiences of current CSA members, focusing on the key factors influencing their retention intentions. Employing a convergent parallel mixed methods approach, this study gathers and analyzes both quantitative data (such as factors affecting members' retention intentions) and qualitative data (derived from interviews reflecting members' perceptions of their CSA experiences). The integration of these datasets provides a comprehensive understanding of the factors that shape CSA membership dynamics. The research findings underscore that Convenience, Product Quality, and Positive Interactions are pivotal factors that contribute to members' Intentions to continue their CSA memberships. These insights are crucial for enhancing the services provided to CSA members and hold significant implications for the broader scope of CSA membership research. This study not only fills a critical gap in understanding the Chinese CSA context but also contributes to the global discourse on sustainable agriculture practices and community engagement.
Audience Academic
Author Wang, Yuhan
Pan, Younghwan
Huang, Yuanyuan
AuthorAffiliation Department of Smart Experience Design, Kookmin University, Seoul, Korea
Shandong University of Science and Technology, CHINA
AuthorAffiliation_xml – name: Shandong University of Science and Technology, CHINA
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2024 Huang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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crossref_primary_10_1371_journal_pone_0303184
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Snippet Community-supported agriculture (CSA) represents a collaborative model where local farms and community members form partnerships to facilitate the direct...
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SubjectTerms Agricultural industry
Agricultural practices
Agricultural production
Agriculture
Biology and Life Sciences
China
Collaboration
Community
Community involvement
Community Participation
Community supported agriculture
Computer and Information Sciences
Consumer Behavior
Consumers
Ecology and Environmental Sciences
Electronic commerce
Farmers
Farms
Female
Food
Humans
Investigations
Male
Marketing research
Medicine and Health Sciences
Methods
Online sales
People and Places
Product information
Qualitative analysis
Qualitative research
Research and Analysis Methods
Research methodology
Retention
Social aspects
Social networks
Social Sciences
Sustainable agriculture
Sustainable practices
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Title Investigating consumers’ experiences with community supported agriculture: Convergent parallel design methods
URI https://www.ncbi.nlm.nih.gov/pubmed/38739608
https://www.proquest.com/docview/3069287615
https://www.proquest.com/docview/3054839762
https://pubmed.ncbi.nlm.nih.gov/PMC11090362
https://doaj.org/article/a66a48f066344b0b9df5fd6c661eee53
http://dx.doi.org/10.1371/journal.pone.0303184
Volume 19
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