Shifts in consumer behavior towards organic products: Theory-driven data analytics

被引:40
|
作者
Taghikhah, Firouzeh [1 ]
Voinov, Alexey [1 ,2 ]
Shukla, Nagesh [1 ]
Filatova, Tatiana [1 ,2 ]
机构
[1] Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Persuas Syst Wise Adapt Living, Sch Informat Syst & Modelling, Sydney, NSW 2007, Australia
[2] Univ Twente, Dept Governance & Technol Sustainabil, Enschede, Netherlands
关键词
Organic food; Emotion; Habit; Impulsive purchasing; Data mining; Explainable artificial intelligence; WILLINGNESS-TO-PAY; FOOD-CONSUMPTION; LOCAL FOOD; WINE; PREFERENCES; PERCEPTIONS; EMOTIONS; CONTEXT; PRICE;
D O I
10.1016/j.jretconser.2021.102516
中图分类号
F [经济];
学科分类号
02 ;
摘要
Consumer behavior is key in shifts towards organic products. A diversity of factors influences consumer preferences, driving planned, impulsive, and unplanned purchasing decisions. We study choices among organic and conventional wine using an extensive survey among Australian consumers (N = 1003). We integrate five behavioral theories in the survey design, and use supervised and unsupervised machine learning algorithms for analysis. We quantify a gap between intention and behavior, and emphasize the importance of cognitive factors. Findings go beyond correlation to the causation of behavior when combining predictive prowess with explanatory power. Results reveal that affective factors and normative cues may prompt unplanned and spontaneous purchasing behavior, causing consumers to act against their beliefs.
引用
收藏
页数:12
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