This paper investigates the undesirable customer behavior of opportunistic picking for products with longer expiration dates in grocery retail stores. We find that on average 20% of food waste at the retail stage is caused by consumer picking. Further, we reveal store and product-related determinants of picking waste and derive insights for store operations decisions. Our paper is the first to empirically quantify consumer picking as a food waste driver.

While fast delivery helps retailers to stay competitive, it often leads to worse environmental outcomes. We study how to nudge online retail customers to voluntarily choose a green but slow shipping option. We develop and test a theory to inform which strategies are more effective based on their ability to overcome psychological barriers. The results of our experiments provide guidelines on which information strategy to use in two logistical contexts: no-rush shipping and consolidated shipping.

"Eye level is buy level" is a common belief in the retail industry, but there is a lack of rigorous empirical evidence to support it. While some studies have used observational data and eye-tracking technology, more controlled field experiments are needed. This study uses a two-stage experimental design in collaboration with a convenience store chain to investigate the impact of eye-level placement on product sales.