Understanding online organic vegetable purchase intention in China: extending the theory of planned behaviour with perceived risk

Purpose This study aims to determine the impact of perceived risk on consumers’ online organic vegetable purchase intention (OOVPI) in China’s lower-tier cities. It focuses on three specific risks, including performance, financial, and time risks. The study also explores the underlying mechanism of how these risk perceptions interact with the Theory of Planned Behaviour (TPB). Design/methodology/approach This study employs PLS-SEM to empirically analyse questionnaire responses provided by 415 participants in China. Findings The study reveals that positive attitude, subjective norms, and perceived behavioural control can enhance OOVPI. However, consumers’ high perceptions of performance, financial, and time risks undermine OOVPI. Meanwhile, attitude and subjective norms demonstrate varying strengths of mediation in the relationship between risk perceptions and OOVPI. Furthermore, beyond directly promoting OOVPI, perceived behavioural control and perceived product traceability serve as moderators that alleviate the negative impact of perceived risks on OOVPI. Originality/value On the theoretical front, this study advances the TPB framework by incorporating perceived risk, an underexamined factor in prior research, thereby extending its application in the context of organic food consumption. On the practical front, guidelines are offered for operators to effectively penetrate underdeveloped markets based on addressing consumer worries.

Authors

Institutions

Publication Details

Journal
British Food Journal
Published
2026-04-01
DOI
https://doi.org/10.1108/bfj-08-2025-1008
Primary Topic
Organic Food and Agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding online organic vegetable purchase intention in China: extending the theory of planned behaviour with perceived risk

Miaomiao Qu, Yongbo Quan
British Food Journal
Organic Food and Agriculture
article

Understanding online organic vegetable purchase intention in China: extending the theory of planned behaviour with perceived risk

Miaomiao Qu, Yongbo Quan
article en

Abstract

Purpose This study aims to determine the impact of perceived risk on consumers’ online organic vegetable purchase intention (OOVPI) in China’s lower-tier cities. It focuses on three specific risks, including performance, financial, and time risks. The study also explores the underlying mechanism of how these risk perceptions interact with the Theory of Planned Behaviour (TPB). Design/methodology/approach This study employs PLS-SEM to empirically analyse questionnaire responses provided by 415 participants in China. Findings The study reveals that positive attitude, subjective norms, and perceived behavioural control can enhance OOVPI. However, consumers’ high perceptions of performance, financial, and time risks undermine OOVPI. Meanwhile, attitude and subjective norms demonstrate varying strengths of mediation in the relationship between risk perceptions and OOVPI. Furthermore, beyond directly promoting OOVPI, perceived behavioural control and perceived product traceability serve as moderators that alleviate the negative impact of perceived risks on OOVPI. Originality/value On the theoretical front, this study advances the TPB framework by incorporating perceived risk, an underexamined factor in prior research, thereby extending its application in the context of organic food consumption. On the practical front, guidelines are offered for operators to effectively penetrate underdeveloped markets based on addressing consumer worries.

British Food Journal
Zhejiang Ocean University (CN)
Openalex Percentile: Top 26%
Organic Food and Agriculture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.