Torrens University Australia, Melbourne, VIC 3000, Australia.
Industrial Engineering Department, Iran University of Science and Technology, Tehran 16844, Iran.
Sensors (Basel). 2021 Sep 9;21(18):6048. doi: 10.3390/s21186048.
This study aims to build smart supply chains for the first time using the internet of things (IoT) and blockchain. Classification and clarification of causal relationships can provide a useful framework for researchers and professionals who seek to implement an intelligent supply chain using IoT tools in a blockchain platform, and it also demonstrates the intensity of communications indicating such relationships. The research methodology is mixed method, comprised of qualitative and quantitative methods. The qualitative method includes the Delphi method used for selecting indigenous components and features proper for the pattern. The quantitative method is the Dematel method used for assessing the relationships between the available concepts in the pattern and accessing the network structure between components. Interpretative Structural Modeling is also employed to classify the network structure obtained from the Dematel technique. The findings of the study identify indicators of IoT and blockchain as causes based on Dematel, application of tools, components interconnectedness, optimal decision making, automatedness, integration, innovation and learning, which are indicators of smart supply chain, are the effects in this study.
本研究旨在首次利用物联网 (IoT) 和区块链构建智能供应链。分类和厘清因果关系可以为研究人员和专业人员提供一个有用的框架，他们希望在区块链平台中使用物联网工具来实现智能供应链，同时也展示了表明这些关系的通信强度。该研究方法是混合方法，包括定性和定量方法。定性方法包括德尔菲法，用于选择适合模式的本土组件和特征。定量方法是 Dematel 方法，用于评估模式中可用概念之间的关系，并访问组件之间的网络结构。解释结构建模也用于对 Dematel 技术获得的网络结构进行分类。研究结果确定了基于 Dematel 的物联网和区块链的指标作为原因，工具应用、组件互联性、优化决策、自动化、集成、创新和学习是智能供应链的指标，是本研究的效果。
