Location

Hilton Waikoloa Village, Hawaii

Event Website

https://hicss.hawaii.edu/

Start Date

7-1-2025 12:00 AM

End Date

10-1-2025 12:00 AM

Description

This paper explores a novel approach to address the problem of food waste in private households through a smartphone application. Employing a design science approach, an app prototype was developed as an instantiation with basic functionality. The prototype was evaluated by conducting a usability test and a consumer survey (N=520) to understand consumers’ needs and requirements to increase their willingness to use such applications. Our findings reveal that younger generations are more likely to use the app and are more open to sharing and trusting information about real best-before dates of food products than older generations. Furthermore, the app concept resonates more with men than women. Feedback from consumers highlights a significant interest in a feature that could determine the shelf life of unpacked goods and new features, e.g., a chatbot to analyze food freshness.

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Jan 7th, 12:00 AM Jan 10th, 12:00 AM

Understanding Consumers’ Attitudes towards a Smartphone Application to Reduce Food Waste

Hilton Waikoloa Village, Hawaii

This paper explores a novel approach to address the problem of food waste in private households through a smartphone application. Employing a design science approach, an app prototype was developed as an instantiation with basic functionality. The prototype was evaluated by conducting a usability test and a consumer survey (N=520) to understand consumers’ needs and requirements to increase their willingness to use such applications. Our findings reveal that younger generations are more likely to use the app and are more open to sharing and trusting information about real best-before dates of food products than older generations. Furthermore, the app concept resonates more with men than women. Feedback from consumers highlights a significant interest in a feature that could determine the shelf life of unpacked goods and new features, e.g., a chatbot to analyze food freshness.

https://aisel.aisnet.org/hicss-58/os/resilience/5