Mind the gap: How the numerical precision of exercise-data-based food labels can nudge healthier food choices
Journal of Business Research(2022)
摘要
Presenting calorie-equivalent exercise data (hereafter, "exercise data") has been proven to be an effective alternative to nudge better food-consumption behavior. The present paper examines how the numerical precision of exercise-data-based food labels impacts food-consumption intention and choice. We propose that precise exercise data can trigger a salient violation of expectation on numeric format. This in turn can induce a (mis)attribution process that intensifies negative emotions linked to unhealthy food consumption, thus decreasing consumers' consumption intentions. The results of five studies show supports to our proposition. Specifically, consumers showed lower consumption intention on unhealthy food when the food label contains precise (vs. rounded) exercise data. In addition, a real-life behavioral study indicates that the precision effect of exercise data is more prominent when the food is unhealthy versus healthy. These findings shed light for policymakers and food enterprises on the potential managerial applications of food labeling.
更多查看译文
关键词
Numerical precision,Discrepancy,Negative emotion,Calorie-equivalent exercise data,Food labeling,Food choices
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要