Jeong Yunjoo, Hwang Sanyoung, Kwon Mijin
Business, Korea University, Seoul, Republic of Korea.
Psychol Res Behav Manag. 2020 Dec 14;13:1165-1180. doi: 10.2147/PRBM.S271979. eCollection 2020.
Although previous research has demonstrated that ingredient information plays a significant role in consumers' healthier food choices, none of the research has investigated how the number of ingredients (ie, single vs multiple) influences consumer perceptions of food healthiness. However, this research argues that consumers have lay belief that the greater the number of (un)healthy ingredients in food, the more (un)healthy the food is perceived and they rely on the lay belief when judging food healthiness. Thus, this paper proposes and examines the multiple ingredients effect that people make inferences about food (un)healthiness based on the diversity of (un)healthy ingredients.
Four studies test our hypotheses using ANOVAs and regression analyses. Study 1 examines that people indicate a higher perception of food unhealthiness when the number of unhealthy ingredients is presented as multiple rather than single. Study 2 replicates the multiple ingredients effect in the healthy food domain and eliminates an alternative explanation based on the subadditivity effect. Study 3 also finds that the difference in food healthiness perception between people who have high and low health consciousness is driven by the salience of each ingredient. Finally, Study 4 identifies the evaluability of the nutritional value as a boundary condition for our effect in an AI-based self-service context.
The current research demonstrates the multiple ingredients effect that people perceive higher food (un)healthiness when the number of (un)healthy ingredients is greater although nutritional information is identically presented. Moreover, this effect is moderated by the extent to which people are conscious of health-related issues. This finding is because ingredient information is highly accessible and salient for health-conscious people .
尽管先前的研究表明成分信息在消费者选择更健康食品方面发挥着重要作用,但尚无研究探讨成分数量(即单一成分与多种成分)如何影响消费者对食品健康程度的认知。然而,本研究认为消费者有一种普遍的观念,即食品中(不)健康成分的数量越多,人们认为该食品就越(不)健康,并且他们在判断食品健康程度时依赖于这种普遍观念。因此,本文提出并检验了一种“多种成分效应”,即人们基于(不)健康成分的多样性对食品的(不)健康程度进行推断。
四项研究使用方差分析和回归分析对我们的假设进行了检验。研究1考察了当不健康成分的数量以多种而非单一形式呈现时,人们对食品不健康程度的认知更高。研究2在健康食品领域重复了多种成分效应,并排除了基于次可加性效应的另一种解释。研究3还发现,健康意识高和低的人群在食品健康程度认知上的差异是由每种成分的显著性驱动的。最后,研究4确定了营养价值的可评估性作为我们在基于人工智能的自助服务环境中效应的一个边界条件。
当前研究证明了多种成分效应,即尽管营养信息相同呈现,但当(不)健康成分数量更多时,人们会认为食品的(不)健康程度更高。此外,这种效应会受到人们对健康相关问题的关注程度的调节。这一发现是因为成分信息对于关注健康的人来说非常容易获取且显著。