Modeling the blockchain enabled traceability in agriculture supply chain

•Potential enablers to blockchain technology (BT) adoption in Indian Agriculture Supply Chain (ASC) are identified.•Relationships among the enablers and their inter-dependencies established using combined ISM and DEMATEL methodology.•Traceability of the agricultural products was found to be the key...

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Bibliographic Details
Published in:International journal of information management 2020-06, Vol.52, p.101967-16, Article 101967
Main Authors: Kamble, Sachin S., Gunasekaran, Angappa, Sharma, Rohit
Format: Article
Language:English
Subjects:
Agriculture
Agriculture supply chain
Blockchain
Blockchain technology
Cryptography
Decision making
DEMATEL
Food
ISM
Supply chains
Sustainability
Traceability
Transparency
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Summary:•Potential enablers to blockchain technology (BT) adoption in Indian Agriculture Supply Chain (ASC) are identified.•Relationships among the enablers and their inter-dependencies established using combined ISM and DEMATEL methodology.•Traceability of the agricultural products was found to be the key enabler for adoption of BT in ASC.•Other enablers include auditability, immutability, and provenance.•This study is first of its kind on adoption of BT in Indian ASC. 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.
ISSN:0268-4012
1873-4707
DOI:10.1016/j.ijinfomgt.2019.05.023