Leveraging analytics to understand food consumption and waste in achieving personalized nudging
Managing food waste is pivotal in advancing sustainable consumption practices. This study investigates how various factors such as food type, consumer spending, socio-economic characteristics, and demographics correlate with food waste patterns, utilizing data analytics and statistical analysis. Dra...
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| Main Authors: | , , , |
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| Format: | Default Conference proceeding |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/28827980.v1 |
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