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Evaluating Barriers and Drivers to Sustainable Food Supply Chains

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  • Siyavash Mohseni
  • Komeyl Baghizadeh
  • Julia Pahl
  • Stefania Tomasiello

Abstract

Today, with the daily increase in population, the demand for agricultural and/or, in general, food products continuously raises and so does the natural resources consumption which induces challenges to the supply chain management of important food products. In the present study, drivers as well as barriers of the agriculture sustainable supply chain are identified and ranked with the help of multicriteria decision-making (MCDM) techniques. We identify six drivers and seven barriers with the help of experts’ opinions in the field and apply ranking methods including TOPSIS-AHP, AHP, and COPRAS-AHP as well as Borda rule and Copeland method to merge the ratings. The results highlight that the economic dimension of sustainability is more important than the environmental and social dimension. Distrust of consumers, lack of understanding and awareness of managers, and performance appraisal problems were found to be the most important barriers. Furthermore, informing the community by the media, entering the global market, exporting products, and producing sustainable products as a competitive advantage were identified to be the most important drivers. The study also shows that public awareness and demands can push the food supply chains toward sustainability goals with the cooperation of governments and suppliers.

Suggested Citation

  • Siyavash Mohseni & Komeyl Baghizadeh & Julia Pahl & Stefania Tomasiello, 2022. "Evaluating Barriers and Drivers to Sustainable Food Supply Chains," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-24, February.
  • Handle: RePEc:hin:jnlmpe:4486132
    DOI: 10.1155/2022/4486132
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    Cited by:

    1. Victor Rosemberg Reis Mota & Carlos Francisco Simões Gomes & Diogo Ferreira Lima Silva & Marcos Santos, 2024. "The novel hybrid multiple criteria decision method BWM-Moora-N applied for investment funds prioritization," Operational Research, Springer, vol. 24(3), pages 1-43, September.
    2. Muwen Wang & Kecheng Zhang, 2022. "Improving Agricultural Green Supply Chain Management by a Novel Integrated Fuzzy-Delphi and Grey-WINGS Model," Agriculture, MDPI, vol. 12(10), pages 1-19, September.
    3. Eslam Mohammed Abdelkader & Tarek Zayed & Hassan El Fathali & Ghasan Alfalah & Abobakr Al-Sakkaf & Osama Moselhi, 2023. "An Integrated Multi-Criteria Decision Making Model for the Assessment of Public Private Partnerships in Transportation Projects," Mathematics, MDPI, vol. 11(16), pages 1-41, August.

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