Improving the economic, social, and environmental sustainability of agri-food supply chains (AFSCs) is of paramount importance, given the impact of AFSC on the survival of mankind and of the planet. Data analytics, and the digital technologies supporting collection and analysis of the (big) data produced within and outside AFSCs, represent potentially powerful tools to improve such sustainability. However, how these new technologies can support AFSCs in reaching the Sustainable Development Goals (SDGs) defined by the United Nations is still under-explored. This paper aims, through a systematic literature review, to provide an answer to such question. To this goal, 50 papers were analysed. Results suggest that digital technologies can support ASFCs in reaching SDGs by supporting real time monitoring, sharing of data across the supply chains, improving decision making by performing scenario analyses and by enabling automation of some activities. These contributions call for the building of a Decision Support System for AFSCs. Finally, directions for future research are presented.

Digitalizing agri-food supply chains to achieve Sustainable Development Goals: A systematic literature review

Masi A.;Ciccullo F.;Pero M.
2021-01-01

Abstract

Improving the economic, social, and environmental sustainability of agri-food supply chains (AFSCs) is of paramount importance, given the impact of AFSC on the survival of mankind and of the planet. Data analytics, and the digital technologies supporting collection and analysis of the (big) data produced within and outside AFSCs, represent potentially powerful tools to improve such sustainability. However, how these new technologies can support AFSCs in reaching the Sustainable Development Goals (SDGs) defined by the United Nations is still under-explored. This paper aims, through a systematic literature review, to provide an answer to such question. To this goal, 50 papers were analysed. Results suggest that digital technologies can support ASFCs in reaching SDGs by supporting real time monitoring, sharing of data across the supply chains, improving decision making by performing scenario analyses and by enabling automation of some activities. These contributions call for the building of a Decision Support System for AFSCs. Finally, directions for future research are presented.
2021
2021 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2021 - Proceedings
978-1-6654-4963-2
Agri-food
Big data
SDG
Supply chain
Sustainability
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1191845
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact