Browsing by Subject "dynamic label"

Food waste is a global problem which has economic, environmental, and social impacts. More than 30% of food intended for human consumption is lost or wasted annually which amounts to a billion tons of food and $ 940 billion in economic losses every year. Traditional "best before" dates and "use by" dates cause confusion among the consumers. The static nature of traditional best before dates and use by dates and absence of any digital label cause enormous amount of food waste. Insufficient consumer knowledge about several types of labeling dates causes rejections of expired food products which are still safe for human consumption. The aim of this research is to understand how consumers would select and evaluate food products that are close to the best-before day and when the food is expired but the sensors would say it is still good. In this research, a survey is conducted to see if the dynamic best before label sensor creates any additional value to the consumers related to the expiry date. Choice-based conjoint (CBC) analysis is used to determine how consumers value the dynamic best before label. The result of the study shows that consumers are more likely to buy a product if dynamic label is used in the packaging. The results of initial research are quite promising, but future researchers can study further by increasing samples sizes to get more data and by calculating willingness to pay (WTP). Finnish food companies can also investigate further to see how the introduction of dynamic labelling system works in practice in Finland and contribute to fight against food waste.