营销
价值(数学)
宏
感知
结构方程建模
独创性
业务
环境友好型
构造(python库)
消费(社会学)
心理学
社会心理学
计算机科学
社会学
生态学
机器学习
生物
程序设计语言
社会科学
神经科学
创造力
作者
Cong Cao,Xinghua Zhang
出处
期刊:British Food Journal
[Emerald (MCB UP)]
日期:2024-02-13
卷期号:126 (5): 2204-2226
被引量:5
标识
DOI:10.1108/bfj-08-2023-0697
摘要
Purpose The problem of environmental pollution is becoming increasingly severe, and international consensus confirms the need for eco-friendly consumption. Worldwide, the eco-friendly food market is booming, so understanding consumers’ motivations to purchase these foods is crucial. This paper aimed to construct a model explaining consumers’ intentions to purchase eco-friendly food by combining stimuli-organism-response (SOR) and signalling theories and exploring the mechanisms by which macro- and micro-signals impact perceptions of value and consumers’ subsequent willingness to purchase eco-friendly food. Design/methodology/approach An online questionnaire was distributed through the Qualtrics platform, and the completed questionnaires were collected in March and April 2023. The study used partial least squares structural equation modelling (PLS-SEM) to analyse the 331 valid responses received. Findings The results indicated that trustworthy eco-labels for high-quality and health-promoting products, as conveyed in macro signals, significantly enhanced consumers’ perceptions of functional value. The peer effect and a moderate level of food anthropomorphism conveyed in micro-signals substantially improved their perceptions of social value, whilst the perceived value of products significantly and positively influenced their purchase intentions. Originality/value This study explains consumers’ motivations to purchase eco-friendly products. This provides an explanation for the effect of macro- and micro-signals on value perceptions. By integrating the different dimensions of these signals to create a unified research perspective, the paper provides an integrated model, thereby filling a research gap concerning the influence of two-dimensional signals on purchase intention. By supporting eco-friendly food use, the paper contributes to environmental protection and sustainable development.
科研通智能强力驱动
Strongly Powered by AbleSci AI