In the Italian craft beer market, many small breweries and pubs propose a large number of products to beerlovers. In this highly fragmented market, it is hard for the beerlovers to assess the quality of a beer and it is hard for breweries and pubs to inform the beerlover of the quality of their offer. Supply chain tracking is an interesting tool to improve transparency of food markets. However, standard tracking approaches are challenging in highly fragmented contexts for several reasons. In this paper, we show how it is possible to realize a blockchain-based supply chain tracking tailored for the highly fragmented sector of the Italian craft beer. We collaborated with one of the players of that market to analyze the specific problems of that context and we report the results of this analysis. We show a design that addresses those problems and might be generalized to support tracking in other highly fragmented sectors. We estimate costs and that turn out to be affordable for that sector.
Ariemma, L., De Carlo, N., Pennino, D., Pizzonia, M., Vitaletti, A., Zecchini, M. (2022). Blockchain-Based Tracking of the Supply Chain of the Italian Craft Beer Sector. In CEUR Workshop Proceedings (pp.130-145). CEUR-WS.
Blockchain-Based Tracking of the Supply Chain of the Italian Craft Beer Sector
Ariemma L.;Pennino D.
;Pizzonia M.
;
2022-01-01
Abstract
In the Italian craft beer market, many small breweries and pubs propose a large number of products to beerlovers. In this highly fragmented market, it is hard for the beerlovers to assess the quality of a beer and it is hard for breweries and pubs to inform the beerlover of the quality of their offer. Supply chain tracking is an interesting tool to improve transparency of food markets. However, standard tracking approaches are challenging in highly fragmented contexts for several reasons. In this paper, we show how it is possible to realize a blockchain-based supply chain tracking tailored for the highly fragmented sector of the Italian craft beer. We collaborated with one of the players of that market to analyze the specific problems of that context and we report the results of this analysis. We show a design that addresses those problems and might be generalized to support tracking in other highly fragmented sectors. We estimate costs and that turn out to be affordable for that sector.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.