Environmentally friendly packaging has become a widely adopted food retail strategy, yet its impacts on consumer food perceptions (e.g., healthiness, taste, ethical concerns) remain fragmented. Notably, how it shapes healthiness perceptions is understudied. Across three studies, this study demonstrates that consumers often associate eco-friendly packaging with healthiness perception, driven by the heuristic associations of its original-ecology sensory cues, sustainable connotations, and morality signals, which further contribute to purchase intention. In addition, the effect of packaging eco-friendliness on purchase intention is moderated by environmental consciousness and food type. Specifically, the above positive effect of eco-friendly packaging is more prominent for consumers with higher environmental consciousness, and for hedonic (vs. utilitarian) food. The findings advance understanding of how eco-friendly packaging shapes food perceptions, and offer strategic insights for customized packaging design in food marketing.

Artificial intelligence (AI) has gradually been applied to food production. Many companies now face a choice between adopting AI technology and adhering to the traditional methods of food production. Existing studies have reported inconsistent findings regarding consumer perceptions of AI-produced food, yet little research has examined how consumers form motive inferences on businesses that transition from traditional practices to adopting AI in new food development. Based on motivation inference theory, this paper investigates the impact of food production methods on consumer inferences and purchase intention. Through three experiments, we find that AI-produced food evokes more negative motive inference in trust building and lowers purchase intention than traditionally produced food. Furthermore, such effect is driven by a serial mediating effect through cost-cutting attribution and perceived ulterior motive. Additionally, it is attenuated when the food company has a high corporate reputation. This research advances research on AI application in food from a consumer motive inference perspective, providing suggestions on firms’ adoption of AI-based practices in food production.