Influencing Ordering Behavior with Modifiable Algorithm Suggestions to Reduce Food Waste
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2020-08-31
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en
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Abstract
Over the last decade science has shown that our world must become more sustainable. The
current research tries to take part in this and establish more information about the matter of
food waste and possible interventions to reduce it. Therefore, an online study was setup to
investigate the question if employees that are responsible for ordering meals for larger events
overestimate the amount of food needed and if they are susceptible for an intervention to
reduce the amount of meals ordered. The research did not find a significant effect of larger
events leading to larger overestimations. The intervention, which used default suggestions
made by a fictive algorithm, was successful in altering the amount of food ordered by the
participants. No interaction effect was found. This research provides a cost-effective
intervention to help willing companies and institutes to reduce the amount of meals ordered in
catering services and overcome algorithm aversion.
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Faculteit der Sociale Wetenschappen