Optimizing the Value Chain for Perishable Agricultural Commodities: A Strategic Approach for Jordan
Anber Abraheem Shlash Mohammad
Digital Marketing Department, Faculty of Administrative and Financial Sciences, Petra University, Amman 11623, Jordan
Suleiman Ibrahim Shelash Mohammad
Electronic Marketing and Social Media, Economic and Administrative Sciences, Zarqa University, Zarqa 13110, Jordan ; INTI International University, Negeri Sembilan 71800, Malaysia
Department of Accounting, Business School Faculties, Al Ahilya Amman University, Amman 19328, Jordan
Business Administration Department, Collage of Business and Economics, Qassim University, Qassim 52571, Saudi Arabia
Faculty of Business and Communications, INTI International University, Negeri Sembilan 71800, Malaysia
Faculty of Liberal Arts, Shinawatra University, Pathum Thani 12160, Thailand
DOI: https://doi.org/10.36956/rwae.v6i1.1571
Received: 10 December 2024 | Revised: 27 December 2024 | Accepted: 30 December 2024 | Published Online: 14 February 2025
Copyright © 2025 Anber Abraheem Shlash Mohammad, Suleiman Ibrahim Shelash Mohammad, Khaleel Ibrahim Al‑ Daoud , Badrea Al Oraini, Asokan Vasudevan, Zhidong Feng. Published by Nan Yang Academy of Sciences Pte. Ltd.
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
Abstract
Efficient supply chain management for perishable agricultural commodities is essential to mitigate post-harvest losses, enhance profitability, and ensure food security. This study focuses on optimizing the supply chain for perishables in Jordan by addressing challenges in transportation, storage, and stakeholder practices. Data from 367 stakeholders, including farmers, transporters, and retailers, provided insights into the dynamics of the supply chain. Descriptive, inferential, and simulation-based methods were employed to evaluate optimization strategies. Descriptive statistics revealed a reduction in post-harvest losses from 17.38% pre-intervention to 15.16% post-intervention, while regression analysis identified transportation conditions, technology adoption, and environmental factors as critical predictors of losses. Simulation models demonstrated the potential for loss reductions of up to 20% under high-improvement scenarios. Financial analysis showed a total saving of $11,149.45, reflecting a 12.83% improvement in profitability. Transportation improvements and technology adoption emerged as the most impactful interventions, significantly reducing losses and enhancing supply chain performance. Comparative analyses validated the significance of these reductions, demonstrating the scalability of the proposed strategies. This study highlights the transformative potential of targeted interventions in reducing losses, improving financial outcomes, and promoting sustainable agricultural systems. The findings contribute to the broader discourse on supply chain optimization and offer actionable solutions for addressing inefficiencies in the management of perishable commodities, ensuring better profitability and food security.
Keywords: Agriculture Supply Chain; Perishable Agricultural Commodities; Post‑Harvest Losses; Transportation; Technology Adoption
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