2,260 research outputs found

    ORGANIZING SCAN DATA FOR MARKET RESEARCH

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    Two areas of practical problems in creating scan data sets for demand and marketing research are discussed. The first pertains to organizing scan data for variable weight items into consumer demand categories. The second is a set of problems associated with the creation of an advertising data set that can be merged with scan data to assess marketing strategies.Demand and Price Analysis, Research Methods/ Statistical Methods,

    INFORMATION TECHNOLOGY AND FRESH PRODUCE: A CASE STUDY USING STORE LEVEL SCAN DATA TO ANALYZE SALES

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    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 new items on established products and the customer's willingness to pay for the new products. For precut and organic carrots in a Knoxville area supermarket chain, total carrot volume increased as the new products were introduced while regular (bunch) sales declined sharply. Consumers were willing to pay a premium for the convenience of precut products.Food Consumption/Nutrition/Food Safety, Research and Development/Tech Change/Emerging Technologies,

    MODELING CUSTOMER SATISFACTION WITH GREEN GROCERS

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    Consumer/Household Economics,

    INCORPORATING SUBSISTENCE INTO A PROBIT ANALYSIS OF HOUSEHOLD NUTRITION LEVELS

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    Previous nutrient demand and consumption analyses show that several economic and sociodemographic variables are often associated with intakes. However, most of the literature does not account for differences among individuals within households. This study reviewed possible definitions of nutrient differences with respect to nutritional needs. Nutrient levels defined by the Thrifty Food Plan were used as subsistence levels for households in the 1977-78 Nationwide Food Consumption Survey. Probit analysis showed that the usual variables found related to nutrient intakes did not differentiate among subsistence groups. Household life cycle and working female heads influenced whether the household was under its requirement level.Food Consumption/Nutrition/Food Safety,

    Childhood Malnutrition In China: Change Of Inequality In A Decade

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    A concentration index methodology to analyze the inequality in childhood malnutrition in China is outlined. Height-for-age z score is used as a measure of childhood malnutrition. Using household survey data from nine Chinese provinces, it is found that per-capita household income, household head's education, urban residence and access to a bus stop reduced malnutrition. Child's age had a nonlinear effect on the malnutrition status. Income growth and access to public transportation reduced the inequality, while rural-urban gap, provincial differentiation, and unequal distribution of household head's education increased inequality in childhood malnutrition. Gender is not a factor in either malnutrition status or inequality. Investments in infrastructure and welfare programs are recommended to reduce the inequality.Food Consumption/Nutrition/Food Safety,

    SUPERMARKET PATRONAGE: AN ANALYSIS OF CUSTOMER COUNTS AMONG OUTLETS WITHIN A GEOGRAPHIC AREA

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    As new supermarket management tools are introduced, the need for an improved understanding of store patronage is growing. Weekly customer counts for five supermarkets located in a Southeastern metropolitan area covering 261 weeks are analyzed. Descriptive statistics indicate that food shopper patterns vary by outlet. Regression equations are estimated for each location. Results point to store specific relationships. They indicate that evaluation of television and radio ads and double couponing can be quite involved.Consumer/Household Economics,
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