Understanding Thai Consumers' Intentions to Purchase Genetically Modified Foods

This research explored the various factors affecting the purchase intention of Thai consumers towards genetically modified foods. To ensure the reliability of our findings, we conducted an extensive online survey in Bangkok over the course of three months, from June to August. The data analysis was mainly based on partial least squares structural equation modelling (PLS-SEM), a robust method for analyzing complex relationships. The results of the analysis confirmed the validity of all the hypotheses, with the exception of the direct relationship between food labels and purchase intention. Additionally, we found that all the mediation effects were statistically significant. In the study, we delve into a comprehensive discussion of the results and their corresponding implications, providing a thorough understanding of the factors influencing consumer behavior in the context of biotechnology and food choices.

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Publication Details

Journal
Research on World Agricultural Economy
Published
2024-10-18
DOI
https://doi.org/10.36956/rwae.v5i4.1298
Citations
1
Primary Topic
Genetically Modified Organisms Research
Type
article
Field-Weighted Citation Impact
0.60
Controls
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article

Understanding Thai Consumers' Intentions to Purchase Genetically Modified Foods

Chainarong Rungruengarporn, Bing Zhu, Ananya Phunthasaen, Salila Pinpak
1 citations
Research on World Agricultural Economy
Genetically Modified Organisms Research
0.60
article

Understanding Thai Consumers' Intentions to Purchase Genetically Modified Foods

Chainarong Rungruengarporn, Bing Zhu, Ananya Phunthasaen, Salila Pinpak
article en
1 citations

Abstract

This research explored the various factors affecting the purchase intention of Thai consumers towards genetically modified foods. To ensure the reliability of our findings, we conducted an extensive online survey in Bangkok over the course of three months, from June to August. The data analysis was mainly based on partial least squares structural equation modelling (PLS-SEM), a robust method for analyzing complex relationships. The results of the analysis confirmed the validity of all the hypotheses, with the exception of the direct relationship between food labels and purchase intention. Additionally, we found that all the mediation effects were statistically significant. In the study, we delve into a comprehensive discussion of the results and their corresponding implications, providing a thorough understanding of the factors influencing consumer behavior in the context of biotechnology and food choices.

Research on World Agricultural Economy
Assumption University (TH)
Zero hunger
Openalex Percentile: Top 21%
Genetically Modified Organisms Research
0.60
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