Publication: Buy Three to Waste One? How Real-World Purchase Data Predict Groups of Food Wasters
Buy Three to Waste One? How Real-World Purchase Data Predict Groups of Food Wasters
Date
Date
Date
Citations
Merian, S., Stöckli, S., Fuchs, K. L., & Natter, M. (2022). Buy Three to Waste One? How Real-World Purchase Data Predict Groups of Food Wasters. Sustainability, 14(16), 10183. https://doi.org/10.3390/su141610183
Abstract
Abstract
Abstract
Approximately one-third of all food produced for human consumption is either lost or wasted. Given the central position of retailers in the supply chain, they have the potential to effectively reduce consumer food waste by implementing targeted interventions. To do so, however, they should target distinct consumer groups. In this research, we use a unique data set comprising the grocery shopping data of customers who use loyalty cards, complemented with food waste reports, to derive three distinct target groups: traditionals, time-con
Metrics
Downloads
Views
Additional indexing
Creators (Authors)
Volume
Volume
Volume
Number
Number
Number
Page range/Item number
Page range/Item number
Page range/Item number
Item Type
Item Type
Item Type
Keywords
Scope
Scope
Scope
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
Additional Information
Additional Information
Additional Information
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Other Identification Number
Other Identification Number
Other Identification Number
Metrics
Downloads
Views
Citations
Merian, S., Stöckli, S., Fuchs, K. L., & Natter, M. (2022). Buy Three to Waste One? How Real-World Purchase Data Predict Groups of Food Wasters. Sustainability, 14(16), 10183. https://doi.org/10.3390/su141610183