The most efficient food delivery system in the world is becoming even more so with new electronic information gathered at the checkout counter and quickly transmitted to food distributors and manufacturers. In order to meet new competition in the retail market for food and food services,...

Consumers make choices about where to shop based on their preferences for a shopping environment and experience as well as the selection of products at a particular store. This study illustrates how retail firms and marketing analysts can utilize data mining techniques to better understand...

The Food Stamp Program (FSP) is working under the deadline of October 1, 2002, to coordinate a change from the current paper disbursement system of paper food stamps to an electronic transfer system of benefits, known as EBT. The Food and Nutrition Service of the U.S. Department of Agriculture...

Complications have hampered the adoption of Universal Product Codes (UPCs) for fresh produce until recently. The data being collected using Bar Codes and Price Look-Up Codes (PLUs) have many applications. A case study of carrots demonstrates how analyses of scanning data can show the effects of...

With the rapidly increasing American elderly population, food companies, healthcare workers, and policy makers alike are asking whether the dietary habits and food consumption patterns of this growing segment of the U.S. population will follow those of current and past elderly people or whether...

Replaced with revised version of paper 08/01/08.

Electronic food retailers can satisfy their customers more effectively if they understand how this particular market works. As in other service segments, the emergence of electronic business-to-customer services in the retail food industry poses questions for managers about the design of new...

The popular impression that over half of our food does not come from a retail food (grocery) store is based on food expenditure data and is misleading. This research set out to learn where people obtain the food they report eating and to determine whether there are significant differences...

The A.C. Nielson household scanner panel is used to analyze factors affecting brand-size choices for spaghetti. These data link product purchases, which are scanned, with household demographics and market information on the store where purchased. A multinominal logit model and a nested logit...

Honorable Mention, Outstanding Choices Article Award, 2011