Application of interpretive structural modelling for analyzing the factors of IoT adoption on supply chains in the Chinese agricultural industry

摘要

The contemporary supply chain is complex and interrelated. Agricultural supply chain has started to make use of advanced technology in broad areas. Internet of Things (IoT) refers to the inter-networking of embedded devices (things), which enable these things to collect and exchange data so as to streamline the value chain. The advantages of IoT adoption include real time monitoring and control, thereby increasing the operation efficiency. However, the application of IoT in the Chinese agricultural supply chain remains at an early stage. The evaluation of influencing factors of the IoT practices in a structural model is conducted to investigate their interrelationship. In this study, we adopt the interpretive structural modelling to analyze the interrelationship among factors that influence IoT adoption in Chinese agriculture. Ten factors have been inputted into the proposed model, and MICMAC analysis is further conducted to visualize the relationship based on the study that have been derived.