Blockchain driven Traceability Modelling in Tea Supply Chain

Abstract

Today, Blockchain Technology (BT) in its nascent stage has emerged as a beacon of transformative potential, drawing the attention of researchers and stakeholders worldwide to explore its ability to reshape traditional systems across various sectors. BT is gaining momentum due to trust, transparency, and traceability; however, no study has been conducted to investigate inter-linking among the drivers that drive BT adoption in Tea Supply Chain (TSC). This study aims to better understand the significance of BT integration in TSC by identifying 12 drivers, aligning with existing research and expert opinions. This research employs a hybrid approach that combines Interpretive Structural Modelling (ISM) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology to determine the hierarchical structure and causal relationship among the identified drivers. The study's findings suggest that traceability is the primary reason for BT adoption in TSC, followed by provenance and transparency. This is the first study of its kind to integrate BT in TSC, presenting a novel hierarchical structural model. In this study, the interrelationship and interdependence among the drivers are identified to help policy-makers and decision-makers outline strategies for the adoption of BT in tea sector, ensuring real-time visibility and sustainability.