Food security and disruptions of the global food supply chains during COVID-19: building smarter food supply chains for post COVID-19 era
Notice bibliographique
Résumé
Purpose The COVID-19 pandemic has revealed the fragility of the complex global food supply chains (GFSCs) which has drastically affected the essential flow of food from the farms and producers to the final consumers. The COVID-19 outbreak has served as a great lesson for the food businesses and companies to re-strategize toward the post-COVID-19 era. This paper examines the impact of COVID-19 pandemic on food security and global food supply chains using the two countries (Canada and the United States) in North America as the case studies and provides appropriate strategy or framework to build smarter and resilience food supply chains for post-COVID-19 era. Design/methodology/approach This paper is a general review of the impacts of COVID-19 pandemic on food security and disruptions of the GFSCs. This paper conducted a comprehensive literature review to have a complete understanding of the study, identify the research problem and missing gaps in literature and to formulate appropriate research questions. This study uses two countries from North America (Canada and the US) as case studies by analyzing the available open data from Statistics Canada and some recent studies conducted on food insecurity in the US. Finally, based on the findings, a proposed approach or framework was presented. Findings The findings from this study establishes that COVID-19 pandemic has greater impacts on the food security and GFSC due to disruption of the food supply chain leading to increase food insecurity in Canada and the US. The findings clearly show how the COVID-19 pandemic has disrupted the GFSC in the following ways – poor economy, shortage of farm worker, limitation to food accessibility, restriction in the transportation of farm commodities, changes in demand of consumers, shutdown of food production facilities, uncertainty of food quality and safety, food trade policies restriction, delays in transportation of food products, etc. The main findings of this study show that food and beverages sector needs to re-strategize, re-shape and re-design their food supply chains with post-COVID-19 resilience approach in mind. As a result, this study presents a proposed approach or framework to build a smarter and resilience GFSCs in the post-COVID-19 era. The findings in this study highlights the way the proposed framework provide solutions to the identified problems created by the COVID-19 pandemic in affecting the GFSC. Originality/value The contribution of this study towards the existing body of knowledge in food security and GFSC is in the form of a proposed approach or framework for building smarter and resilience GFSC that would assist the key players in the food industry to respond better and faster to the ongoing COVID-19 pandemic, including post-COVID-19 era.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».