Title |
Evaluation of the agri-food supply chain risks: the circular economy context |
ID_Doc |
28257 |
Authors |
Krstic, M; Elia, V; Agnusdei, GP; De Leo, F; Tadic, S; Miglietta, PP |
Title |
Evaluation of the agri-food supply chain risks: the circular economy context |
Year |
2024 |
Published |
British Food Journal, 126.0, 1 |
DOI |
10.1108/BFJ-12-2022-1116 |
Abstract |
PurposeCircular supply chains (CSC) are particularly important for the agri-food sector, which faces strict requirements generated by increased food consumption as a consequence of world population growth, changes in lifestyle, development of consumer society and increasing health awareness. Recent disruptive factors have placed the vulnerability of agri-food supply chains in the spotlight. Therefore, the purpose of this paper was to identify the most manageable groups of risks in order to ensure the smooth operation of agri-food circular supply chains.Design/methodology/approachSeven main risk groups were evaluated in relation to nine criteria. To solve this multi-criteria decision making (MCDM) problem, a novel MCDM model, which integrates the best-worst method (BWM) and the COmprehensive distance-Based RAnking (COBRA) method in a grey environment, was developed.FindingsThree risks were singled out, namely, product features risks, logistics risks and managerial risks. The obtained risks are those whose management would create the most positive effects for the stakeholders and help them achieve their primary goals regarding the circularity of agri-food supply chains.Originality/valueThis study investigates the main characteristics of the CSC in the agri-food sector, identifies, simultaneously explores and ranks all main risk groups associated with them and expands the possibilities for solving these kinds of problems by developing a novel MCDM model. It also identifies the most significant risks, both for individual stakeholders and for all stakeholder groups together. |
Author Keywords |
Agri-food; Supply chain; Circular economy; MCDM; Grey BWM; Grey COBRA |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED) |
EID |
WOS:000952230900001 |
WoS Category |
Agricultural Economics & Policy; Food Science & Technology |
Research Area |
Agriculture; Food Science & Technology |
PDF |
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