Abstract
AbstractNowadays being resilient is a requirement of all companies and more in general supply chains, as a consequence of the frequent disruptions which repeatedly affect systems and challenge markets from different sides. But how to state whether a company and its related supply chain are resilient or not? To address the present issue, a literature review was carried out on documents proposing quantitative tools or metrics for quantifying the resilience level of an agri-food supply chain, which is a specific field subjected to several threats and accordingly deserving attention. Due to the limited number of documents retrieved (i.e., 26 articles), stressing the gap to be filled in literature, mainly bibliometric analyses were performed on the sample, but contents were also deepened, resuming the different tools available at present. Results reflect the call for the development of models aiming at assessing the resilience of these systems before disruptions and non-controlled events occur; moreover, the industrial level turned out to be neglected, given the fact that all the studies deal with the farm stage (and in general agricultural activities).
Funder
Ministero dell'Università e della Ricerca
Publisher
Springer Science and Business Media LLC
Subject
Economics and Econometrics,Agricultural and Biological Sciences (miscellaneous),Food Science
Reference62 articles.
1. Alhaddi H (2015) Triple bottom line and sustainability: a literature review. Bus Manag Stud 1:2
2. Anderson K, Hotchkiss E, Myers L, Stout S, Grue N, Gilroy N, Aldred J, Rits M (2020) After the hurricane: validating a resilience assessment methodology. Int J Disast Risk Reduc 51:101781
3. Béné C, Chowdhury F, Rashid M, Dhali S, Jahan F (2017) Squaring the circle: reconciling the need for rigor with the reality on the ground in resilience impact assessment. World Dev 97:212–231
4. Bertolozzi-Caredio D, Soriano B, Bardaji I, Garrido A (2022) Analysis of perceived robustness, adaptability and transformability of Spanish extensive livestock farms under alternative challenging scenarios. Agric Syst 202:103487
5. Bigliardi B, Bottani E, Casella G, Filippelli S, Petroni A, Pini B, Gianatti E (2023) Industry 4.0 in the agrifood supply chain: a review. Procedia Comput Sci 217:1755–1764