The Uptrend Effect: Encouraging Healthy Behaviors Through Greater Inferred Normativity

规范(哲学) 突出 描述性研究 心理学 描述性统计 社会心理学 应用心理学 计算机科学 政治学 社会学 人工智能 数学 社会科学 统计 法学
作者
John P. Costello,Aaron Garvey,Frank Germann,James E.B. Wilkie
出处
期刊:Journal of Marketing Research [SAGE Publishing]
卷期号:61 (1): 110-127 被引量:8
标识
DOI:10.1177/00222437231167832
摘要

Only a minority of Americans adequately engage in activities experts recommend to curb preventable diseases, such as the consumption of healthful foods and regular physical exercise. This poses a challenge for policy makers and social marketers alike, given the substantial impact descriptive norms have on behaviors in the health domain. The authors propose a new way to address this challenge by identifying what they call the “uptrend effect.” This effect encourages descriptively nonnormative, healthy behaviors through uptrend messaging that makes salient actual increased engagement in those behaviors over time without referencing an objective descriptive norm. Across seven experimental studies, including studies conducted in the field and measuring real behaviors, this research demonstrates that uptrend messaging leads recipients to infer greater descriptive normativity for the target behavior, which subsequently improves engagement. The authors identify theoretically and practically relevant boundary conditions, showing that the uptrend effect is attenuated when the growth in a behavior is driven by a dissimilar group or when the message explicitly states a descriptive norm. They also demonstrate that uptrend messaging outperforms other norm-based approaches. The theory and findings of this research inform scholars, policy makers, and marketers by providing actionable and easy-to-implement techniques to encourage behaviors that improve consumer quality of life.
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