Abstract
Management Information Systems (MIS) have gradually become the technical cornerstone to help enterprises optimize the quality of decision-making. However, relying only on the data support provided by MIS is insufficient to help enterprises complete the supply chain's efficient allocation and high-frequency management. This paper aims to explore the feasibility of promoting the digital transformation of the supply chain in China's transportation industry by combining emerging technologies such as the Internet of Things (IoT), Artificial intelligence (AI), and Management Information Systems (MIS). It has been found that a strong combination of AI, IoT, and MIS technologies can effectively promote the digital transformation of the supply chain. However, there are still many challenges in practical application. Therefore, this paper proposes the interaction model of these three technologies. IoT inputs the information generated in the operation and stores it in MIS, providing data support for AI's intelligent analysis. Then, the instructions issued by AI are transmitted directly to MIS. Finally, the IoT controls the physical entity that executes these decisions. In addition, this paper summarizes the problems and reasons that may exist in applying MIS, IoT, and AI technology in the transportation industry at this stage. It is found that many problems, including low utilization efficiency of MIS, low willingness of front-line operators to use it, differences in information transmission protocols, and high cost of AI training, hinder these three technologies to promote the digital transformation of the supply chain.
Published Version
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