Crowdsourcing food security: introducing food choice derivatives for sustainability.

Crowdsource Derivatives market Food security Food waste Sustainability

Journal

Food security
ISSN: 1876-4517
Titre abrégé: Food Secur
Pays: Netherlands
ID NLM: 101660498

Informations de publication

Date de publication:
26 Apr 2023
Historique:
received: 23 06 2022
accepted: 15 03 2023
pubmed: 26 6 2023
medline: 26 6 2023
entrez: 26 6 2023
Statut: aheadofprint

Résumé

Global food supply chains are unprepared for the increasing number and severity of the expected environmental, social and economic shocks in the coming years. The price-setting process of commodities is directly impacted by such shocks, influencing consumer behavior regarding food choice and consumption. Both the market and advances in precision agriculture drive increased production and consumption. However, there has been a lack of consideration of how consumer behavior could be harnessed to mitigate such shocks through decreased consumption and reduced waste. The SAPPhIRE model of causality was applied to design sustainable and ecologically embedded futures derivatives that could have a role in affecting commodity markets. Multi-agent systems were combined with artificial intelligence and edge computing to provide the necessary functionality. The impact of war in Ukraine was used to exemplify the design of consumer "food choice" derivatives. This resulted in a mechanism to bring aggregated acts of consumer compassion and sustainability to commodities markets to mitigate food security shocks. When implementing food choice derivatives, care must be taken to ensure that consumer food choices are rational and compatible with individual nutritional needs and financial situations, and that the legitimate interests of agri-food businesses are protected.

Identifiants

pubmed: 37362054
doi: 10.1007/s12571-023-01363-7
pii: 1363
pmc: PMC10130302
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-13

Informations de copyright

© The Author(s) 2023.

Auteurs

Hana Trollman (H)

Department of Work, Employment, Management and Organisations, School of Business, University of Leicester, University Road, Leicester, LE1 7RH UK.

Sandeep Jagtap (S)

Sustainable Manufacturing Systems Centre, School of Aerospace, Transport & Manufacturing, Cranfield University, Cranfield, MK43 0AL UK.

Frank Trollman (F)

Glenfield Hospital, University Hospitals of Leicester NHS Trust, Leicester, LE3 9QP UK.

Classifications MeSH