An important aspect of health monitoring is effective knowledge of food consumed. In this regard, a methodology of analysis is proposed in order to know in advance the food choices of the final consumers. This can give added value to the agricultural productions of the territory and of the farmers, facilitating the direct relationship between agriculture and the final consumer. To build a prediction model, web monitoring and traditional marketing analysis will be performed. The results of analysis can be used to sensitize the consumers towards a greater alimentary awareness, helping to manage of diet-related diseases like obesity, diabetes, and even cardiovascular diseases.
Predicting the Consumer's Purchase Intention of Food Products
Corallo A.;Fortunato L.;Spennato A.;Errico F.;Pedone A.
2020-01-01
Abstract
An important aspect of health monitoring is effective knowledge of food consumed. In this regard, a methodology of analysis is proposed in order to know in advance the food choices of the final consumers. This can give added value to the agricultural productions of the territory and of the farmers, facilitating the direct relationship between agriculture and the final consumer. To build a prediction model, web monitoring and traditional marketing analysis will be performed. The results of analysis can be used to sensitize the consumers towards a greater alimentary awareness, helping to manage of diet-related diseases like obesity, diabetes, and even cardiovascular diseases.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
