Modeling the blockchain enabled traceability in agriculture supply chain

By Sachin S. Kamble, Angappa Gunasekaran, Rohit Sharma. International Journal of Information Management, 2020

826 citations recorded by the source corpus.

Abstract Blockchain Technology (BT) has led to a disruption in the supply chain by removing the trust related issues. Studies are being conducted worldwide to leverage the benefits provided by BT in improving the performance of the supply chains. The literature reveals BT to offer various benefits leading to improvements in the sustainable performance of the agriculture supply chains (ASC). It is expected that BT will bring a paradigm shift in the way the transactions are carried in the ASC by reducing the high number of intermediaries, delayed payments and high transaction lead times. India, a developing economy, caters to the food security needs of an ever-growing population and faces many challenges affecting ASC sustainability. It is therefore essential to adopt BT in the ASC to leverage the various benefits. In this study, we identify and establish the relationships between the enablers of BT adoption in ASC. Thirteen enablers were identified from the literature and validated by the experts before applying a combined Interpretive Structural Modelling (ISM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology to envision the complex causal relationships between the identified BT enablers. The findings from the study suggest that, among the identified enablers, traceability was the most significant reason for BT implementation in ASC followed by auditability, immutability, and provenance. The findings of the study will help the practitioners to design the strategies for BT implementation in agriculture, creating a real-time data-driven ASC. The results will also help the policymakers in developing policies for faster implementation of BT ensuring food safety and sustainable ASCs.

Subfields: Food Science, Information Systems

View Paper: https://www.semanticscholar.org/paper/21b2c213b10b88bdd9976c64bf44bafa49b1c849

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Citations in the corpus

A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation (2020, background): “Blockchain technology is recommended for reducing information asymmetry, which has led to overcoming the issues of trust and collaboration among the supply chain partners (Longo et al., 2019; Kamble et al., 2020b).”
A literature review of blockchain technology applications in supply chains: A comprehensive analysis of themes, methodologies and industries (2021, neutral): “Five articles use multicriteria decision-making models to determine the successful factors of implementation (S. S. Kamble et al., 2020; Nayak & Dhaigude, 2019; Yadav & Singh, 2020), obstacles to implementation (Ozturk & Yildizbasi, 2020) and blockchain selection and evaluation (Bai & Sarkis, 2020).”
How Green FinTech Can Alleviate the Impact of Climate Change—The Case of Switzerland (2020, neutral): “An example is a blockchain-based sustainable supply chain for agricultural products in which farmers, manufacturers, wholesalers, retailers, and consumers are connected [88].”
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance (2020, background): “…need to be addressed are lack of industrialization in the ASCs (Kamble et al. 2019a), information asymmetry (Sharma and Parhi, 2017), inadequate management practices (Luthra et al. 2018), poor product traceability (Kamble et al. 2019b), and food safety and quality norms (Naik and Suresh, 2018).”
Blockchain in Agriculture Traceability Systems: A Review (2020, neutral): “Through interpretive structural modeling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) methodologies, Kamble et al. establish hierarchical levels and relationships between the involved actors in the supply chain [32].”
When Blockchain Meets Supply Chain: A Systematic Literature Review on Current Development and Potential Applications (2020, background): “These papers serve as references for other applications in various industries, especially the agricultural sector [86], [87], [88].”