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1.

Supply chain collaboration for the staple food product competitiveness Pages 2567-2580 PDF Download PDF

Authors: Yayat Rahmat Hidayat, Tomy Perdana, Trisna Insan Noor, Nono Carsono

doi 10.5267/j.uscm.2024.5.013

🔑 Keywords: Relational View, Supply Chain Collaboration, Competitiveness, Food Product, Rice

Abstract:
Food supply chain collaboration (FSCC) is a prevalent business strategy in developed countries. Despite the widespread adoption, there is still limited literature on FSCC in developing countries, including Indonesia. Therefore, the study aimed to analyze the factors of information sharing, relationship quality, and corporate shared value on supply chain collaboration and their effect on improving the competitiveness of rice main food products in Indonesia. The conceptual framework was developed from the Relational View theory as the basis for supply chain collaboration, which could prove beneficial in increasing the competitiveness of food products. The data were collected from three rice supply chain actors, namely farmers, rice milling units, and retailers, which were analyzed using partial least squares Structural Equation Modeling. The results showed that information sharing was the variable with the greatest effect on supply chain collaboration, followed by corporate shared value and relationship quality. Information sharing carried out by supply chain actors was due to dependence, trust, and commitment to relationships. Collaboration and information sharing among actors showed the potential to positively improve the competitiveness of rice main food products. These results provided valuable insights for food supply chain actors, emphasizing the importance of collaboration by considering economic, social, and environmental aspects.
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Journal: USCM | Year: 2024 | Volume: 12 | Issue: 4 | Views: 641

 
2.

Planning rice cultivation in a large plot agricultural system Pages 11-20 PDF Download PDF

Authors: Montri Singhavara, Kamoltip Panyasit, Sakkarin Nonthapot

doi 10.5267/j.dsl.2021.10.003

🔑 Keywords: Large agricultural land plot guidelines, Rice, Multiple-criteria decision-making, Multi-choice goal programming, Trade-offs

Abstract:
This research aimed to study the approach of the community toward the decision to grow rice and economic crops, including appropriate resource allocation for use on a farm under a large plot agricultural system. The study areas were in Phan district, Chiang Rai province, Thailand, and the data were collected from a sampling of 400 field agriculturalists. The method used was to develop a mathematical model for growing crops with multi-objectives and in multi-periods, together with an agriculturist representative and experts in multiple-criteria decision-making (MCDM). This was to prioritize the importance of alternative crops and find the appropriate allocation of the resources to achieve the targeted goal. The results showed that agriculturists prioritized most toward the criteria for growing Japanese rice with a weight of 0.179 Kg., followed by transplanted rice, transplanted glutinous rice, garlic, sown paddy rice, and sown glutinous paddy rice, respectively. The study’s results also showed that the price fluctuation of the crop products resulted in more use of land and labor in order to increase the production to compensate for the low price, and this also resulted in the higher opportunity cost of growing transplanted rice. Therefore, growing transplanted rice during in season planting was considered the most effective way, while during the off season, either garlic or Japanese rice could be grown. A collective pattern for planning for using resources together in large plot agricultural areas, together with a clear marketing target would bring about effective use of the resources and reduce the risk in revenue from the fluctuation in prices and uncertainty of yields from drought. Moreover, technology development to solve the problem of the lack of labor would be deemed an important approach toward the enhancement of the competitiveness of agriculturists in the future as well.
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Journal: DSL | Year: 2022 | Volume: 11 | Issue: 1 | Views: 1244

 

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