Implementation of Blockchain-Enabled Supply Chain Finance Solutions in the Agricultural Commodity Supply Chain: A Transaction Cost Economics Perspective

Bhatia, Manjot Singh; Chaudhuri, Atanu; Kayikci, Yasanur; Treiblmaier, Horst

Abstract

Agricultural commodity supply chains are characterized by the involvement of multiple intermediaries, lack of access to finance and poor financial conditions of farmers. Additionally, there exist numerous inefficiencies and a lack of transparency in the trading processes. Blockchain-enabled supply chain finance (SCF) solutions can potentially help to overcome these problems. However, there is limited research on the process of developing and implementing such solutions and the potential consequences of their implementation. In this paper, we apply the Context-Intervention-Mechanism-Outcome (CIMO) framework to systematically analyze case studies of four firms that have developed blockchain-enabled SCF solutions in agricultural commodity supply chains. The findings show that blockchain-enabled SCF solutions can reduce different types of transaction costs such as costs associated with information search, negotiation and contracting costs, and costs of accessing finance. The solutions designed with the core objective of improving the financial conditions of farmers will differ from those with the core objective of reducing process inefficiencies. The findings of the study will benefit companies planning to develop and implement blockchain-enabled SCF solutions, by highlighting operational challenges and offering concrete solutions on how they can be overcome.

Citation

Bhatia, M. S., Chaudhuri, A., Kayikci, Y., & Treiblmaier, H. (2023). Implementation of Blockchain-Enabled Supply Chain Finance Solutions in the Agricultural Commodity Supply Chain: A Transaction Cost Economics Perspective. Production Planning and Control, https://doi.org/10.1080/09537287.2023.2180685

• Journal Article Type: Article
• Acceptance Date: Feb 10, 2023
• Online Publication Date: Feb 21, 2023
• Publication Date: 2023
• Deposit Date: Feb 13, 2023
• Publicly Available Date: Feb 22, 2024
• Journal: Production Planning and Control
• Print ISSN: 0953-7287
• Electronic ISSN: 1366-5871
• Publisher: Taylor and Francis Group
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1080/09537287.2023.2180685
• Public URL: https://durham-repository.worktribe.com/output/1180852