Cluster analysis was used to conduct a segmentation analysis of U.S. supermarket shoppers. This study is based on the responses of a sample of 1,000 shoppers concerning the importance of 21 store characteristics in selecting their primary grocery store for the Food Marketing Institute's 2000...

More than one billion adults are overweight worldwide, and more than 300 million of them clinically obese, raising the risk of many serious diseases. Only 3.6 percent of Japanese have a body mass index (BMI) over 30, which is the international standard for obesity, whereas 32.0 percent of...

This paper provides an overview of major demographic and food trends in Poland and the rapid changes in Polish food retailing. The demographic changes include the size of the population; birth, death, marriage and divorce rates; the age distribution, education and household types. Two important...

More than one billion adults are overweight worldwide, and more than 300 million of them clinically obese, raising the risk of many serious diseases. Only 3.6 percent of Japanese have a body mass index (BMI) over 30, which is the international standard for obesity, whereas 32.0 percent of...

This study uses nonparametric techniques to analyze the stability of demand for 19 major food categories among various demographic groups in the United States. Households are divided into population groups by income, the head's age, and the spouse's education level. The data used are from the...

Rising rates of overweight and obesity pose a major challenge to the food industry. The industry has the opportunity to take positive steps to become part of the solution, rather than part of the problem, which is the increasing perception. By 1999-2000 almost two-thirds of American adults were...

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 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...

"Trends and Traditions in the American Diet: Implications for Agriculture" and "Food Problems of the Poor"