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A Fuzzy-AHP Multi-Criteria Decision-Making Approach for a Sustainable Supply Chain of Rice Farming Stakeholders in Edu-Patigi LGA, Kwara State, Nigeria

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  • Adenike Oluyemi Bello

    (School of Management, Information Technology and Governance, College of Law and Management Studies, University of Kwazulu Natal, Westville Campus, Durban 4000, South Africa)

  • Thokozani Patmond Mbhele

    (School of Management, Information Technology and Governance, College of Law and Management Studies, University of Kwazulu Natal, Westville Campus, Durban 4000, South Africa)

Abstract

The adoption of sustainable practices in decision making in supply chain operations among rice farmers and other stakeholders in Nigeria could be an effective tool to drive food security. The triple bottom line identifies the environmental, economic, and social dimensions of sustainability. These could be harnessed to improve the supply chain of locally produced rice, ultimately improving food security in the region. This paper adopts a quantitative method that uses 21 criteria from the three sustainability dimensions to measure rice stakeholders’ decision-making activities against sustainable rice practices (SRPs) using a Fuzzy Analytical Hierarchy Process multi-criteria decision-making approach. The findings reveal that decisions with regard to water usage, supplier diversity, and a safe working environment were ranked high, while government intervention, quality assurance, transparency, and power usage ranked low. This implies that improved performance of other stakeholders across the rice value chain such as the government and extension officers would enhance productivity and drive food security in the region.

Suggested Citation

  • Adenike Oluyemi Bello & Thokozani Patmond Mbhele, 2024. "A Fuzzy-AHP Multi-Criteria Decision-Making Approach for a Sustainable Supply Chain of Rice Farming Stakeholders in Edu-Patigi LGA, Kwara State, Nigeria," Sustainability, MDPI, vol. 16(5), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1751-:d:1342773
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    References listed on IDEAS

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    1. Kuang-Sheng Liu & Ming-Hung Lin, 2021. "Performance Assessment on the Application of Artificial Intelligence to Sustainable Supply Chain Management in the Construction Material Industry," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    2. Zhiwen Su & Mingyu Zhang & Wenbing Wu, 2021. "Visualizing Sustainable Supply Chain Management: A Systematic Scientometric Review," Sustainability, MDPI, vol. 13(8), pages 1-25, April.
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