Prioritization of e-traceability drivers in the agri-food supply chains
Abstract Electronic traceability (e-traceability) is a growing trend in the agri-food industry, offering improved transparency, accountability, and reduced risk of foodborne illnesses through the use of electronic systems to trace products throughout the entire supply chain. E-traceability drivers i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-10-01
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| Series: | Agricultural and Food Economics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40100-023-00284-5 |
| _version_ | 1797454122652270592 |
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| author | Mladen Krstić Giulio Paolo Agnusdei Snežana Tadić Pier Paolo Miglietta |
| author_facet | Mladen Krstić Giulio Paolo Agnusdei Snežana Tadić Pier Paolo Miglietta |
| author_sort | Mladen Krstić |
| collection | DOAJ |
| description | Abstract Electronic traceability (e-traceability) is a growing trend in the agri-food industry, offering improved transparency, accountability, and reduced risk of foodborne illnesses through the use of electronic systems to trace products throughout the entire supply chain. E-traceability drivers in the agri-food supply chain encompass diverse factors motivating companies to adopt electronic systems for product tracking, aiming to enhance visibility, minimize risk, ensure compliance, and promote safety, sustainability, and efficiency through clear and verifiable records of product origins, quality, and sustainability, building consumer trust and loyalty. By identifying the main drivers of e-traceability, this research aims to shed light on the factors that motivate companies to implement electronic systems for tracking and monitoring products. For solving this problem of multi-criteria decision-making (MCDM), this study proposes a hybrid MCDM model. The model combines “Factor Relationship” (FARE) and “Axial Distance-based Aggregated Measurement” (ADAM) methods in the fuzzy environment. The results indicate that the most important drivers are supply chain efficiency, technology development and sustainability. These drivers are critical and they significantly impact the successful implementation and adoption of e-traceability strategies in the agri-food sector. |
| first_indexed | 2024-03-09T15:33:41Z |
| format | Article |
| id | doaj.art-fc222280347e42d89d3c731a16e9548d |
| institution | Directory Open Access Journal |
| issn | 2193-7532 |
| language | English |
| last_indexed | 2024-03-09T15:33:41Z |
| publishDate | 2023-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Agricultural and Food Economics |
| spelling | doaj.art-fc222280347e42d89d3c731a16e9548d2023-11-26T12:09:10ZengSpringerOpenAgricultural and Food Economics2193-75322023-10-0111112610.1186/s40100-023-00284-5Prioritization of e-traceability drivers in the agri-food supply chainsMladen Krstić0Giulio Paolo Agnusdei1Snežana Tadić2Pier Paolo Miglietta3Department of Biological and Environmental Sciences and Technologies, University of SalentoDepartment of Biological and Environmental Sciences and Technologies, University of SalentoLogistics Department, Faculty of Transport and Traffic Engineering, University of BelgradeDepartment of Biological and Environmental Sciences and Technologies, University of SalentoAbstract Electronic traceability (e-traceability) is a growing trend in the agri-food industry, offering improved transparency, accountability, and reduced risk of foodborne illnesses through the use of electronic systems to trace products throughout the entire supply chain. E-traceability drivers in the agri-food supply chain encompass diverse factors motivating companies to adopt electronic systems for product tracking, aiming to enhance visibility, minimize risk, ensure compliance, and promote safety, sustainability, and efficiency through clear and verifiable records of product origins, quality, and sustainability, building consumer trust and loyalty. By identifying the main drivers of e-traceability, this research aims to shed light on the factors that motivate companies to implement electronic systems for tracking and monitoring products. For solving this problem of multi-criteria decision-making (MCDM), this study proposes a hybrid MCDM model. The model combines “Factor Relationship” (FARE) and “Axial Distance-based Aggregated Measurement” (ADAM) methods in the fuzzy environment. The results indicate that the most important drivers are supply chain efficiency, technology development and sustainability. These drivers are critical and they significantly impact the successful implementation and adoption of e-traceability strategies in the agri-food sector.https://doi.org/10.1186/s40100-023-00284-5E-traceabilityDriversAgri-foodSupply-chainFuzzy FAREFuzzy ADAM |
| spellingShingle | Mladen Krstić Giulio Paolo Agnusdei Snežana Tadić Pier Paolo Miglietta Prioritization of e-traceability drivers in the agri-food supply chains Agricultural and Food Economics E-traceability Drivers Agri-food Supply-chain Fuzzy FARE Fuzzy ADAM |
| title | Prioritization of e-traceability drivers in the agri-food supply chains |
| title_full | Prioritization of e-traceability drivers in the agri-food supply chains |
| title_fullStr | Prioritization of e-traceability drivers in the agri-food supply chains |
| title_full_unstemmed | Prioritization of e-traceability drivers in the agri-food supply chains |
| title_short | Prioritization of e-traceability drivers in the agri-food supply chains |
| title_sort | prioritization of e traceability drivers in the agri food supply chains |
| topic | E-traceability Drivers Agri-food Supply-chain Fuzzy FARE Fuzzy ADAM |
| url | https://doi.org/10.1186/s40100-023-00284-5 |
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