Impact of the perceived value and perceived risk on consumers’ purchase behavior of suboptimal food

采购 风险感知 有序概率单位 价值(数学) 营销 业务 消费(社会学) 情感(语言学) 消费者行为 独创性 Probit模型 多元概率模型 食品安全 经济 心理学 社会心理学 医学 感知 机器学习 创造力 病理 社会学 计量经济学 沟通 神经科学 计算机科学 社会科学
作者
Yingqi Zhong
出处
期刊:British Food Journal [Emerald Publishing Limited]
卷期号:127 (2): 539-553 被引量:10
标识
DOI:10.1108/bfj-08-2024-0795
摘要

Purpose This study aimed to understand the factors influencing consumers’ purchase behavior of different types of suboptimal food and to provide references for promoting the consumption of suboptimal food and reducing suboptimal food waste in the consumption process. Design/methodology/approach This study analyzed the influence of perceived value and perceived risk on consumers’ purchase behavior for three types of suboptimal food. They include food nearing expiration date, food with defective packaging and food with ugly appearance. Specifically, expenditure saving and food waste reduction of perceived value, health risk, time cost and psychological distress of perceived risk were analyzed using a multivariate probit model. Additionally, the moderating effect of suboptimal food knowledge was tested. Findings Perceived value of saving money and reducing food waste positively influences consumers’ decision to purchase suboptimal food. Perceived risk of psychological distress and health risk negatively affect consumers’ decisions to purchase suboptimal food. Consumers are more sensitive to perceived value than perceived risk when purchasing food with defective packaging. However, perceived risk has a greater impact on the food that is nearing its expiration date. The impact of perceived risk on the purchase of food with an ugly appearance decreases when consumers are familiar with suboptimal food. Originality/value By applying the theory of perceived value and perceived risk from psychology, this study contributes to deepen the understanding of consumers’ motivation to purchase suboptimal food. The results provide recommendations for food sector actors on how to motivate consumers on their way to buy suboptimal food.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
1秒前
1秒前
go完成签到,获得积分10
2秒前
2秒前
要减肥的含卉完成签到,获得积分20
3秒前
所所应助汪宇采纳,获得10
3秒前
3秒前
聂聂完成签到,获得积分10
3秒前
科研通AI6.4应助小罗采纳,获得10
3秒前
123发布了新的文献求助10
3秒前
4秒前
赵佳露发布了新的文献求助10
4秒前
可爱的函函应助wlq采纳,获得10
4秒前
诚心冬亦完成签到,获得积分10
4秒前
道一完成签到,获得积分10
5秒前
5秒前
ale关闭了ale文献求助
5秒前
6秒前
飞鸿影下发布了新的文献求助10
6秒前
核桃发布了新的文献求助10
6秒前
曾经电源发布了新的文献求助10
6秒前
Tcell完成签到,获得积分10
7秒前
7秒前
cheershuyang发布了新的文献求助10
8秒前
YY发布了新的文献求助20
8秒前
Xxuuuu发布了新的文献求助10
9秒前
10秒前
顾矜应助ly采纳,获得10
10秒前
Aizzty发布了新的文献求助10
11秒前
wyx完成签到,获得积分10
11秒前
ASCC完成签到 ,获得积分10
12秒前
13秒前
ale驳回了zoerist应助
13秒前
郭子仪发布了新的文献求助10
13秒前
dde发布了新的文献求助10
14秒前
赵佳露完成签到,获得积分10
14秒前
刘冲完成签到,获得积分10
15秒前
李健应助曾经电源采纳,获得10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Child and Adolescent Psychology 600
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7413794
求助须知:如何正确求助?哪些是违规求助? 9017097
关于积分的说明 19208847
捐赠科研通 7045321
什么是DOI,文献DOI怎么找? 3233924
关于科研通互助平台的介绍 2396026
邀请新用户注册赠送积分活动 2215944