Academic Journal of Business & Management, 2025, 7(5); doi: 10.25236/AJBM.2025.070515.
Honglin Peng, Bahao Li
School of Economics, Jiujiang University, Jiujiang City, Jiangxi Province, China
With the increasing frequency of Internet applications, the use of Internet-related technologies has also been comprehensively developed. In terms of logistics financial safety supervision, people also urgently need to supervise and control it to a certain degree. This article aims to study the application of logistics financial security supervision in the Internet era. To this end, this paper proposes a big data supervision method and a pipe network model, and through the use of big data, the financial monitoring and risk control of the logistics industry are carried out. It also uses the pipe network model to systematically analyze and calculate related financial security, and designs related experiments and analyses to explore some factors. The experimental results of this paper show that in the context of big data monitoring, customers’ transaction costs have been reduced by 4.7%, transaction risks have been reduced by 12%, the development rate of the logistics industry has increased by 24%, and the ability to supervise related logistics industries has increased by 36%. From these values, it is not difficult to know that big data can help improve related logistics and financial security issues.
Big Data Technology, Logistics Supervision, Financial Security, Internet+Logistics
Honglin Peng, Bahao Li. Application of Big Data Technology in Logistics Financial Safety Supervision in the Internet Era. Academic Journal of Business & Management (2025), Vol. 7, Issue 5: 114-123. https://doi.org/10.25236/AJBM.2025.070515.
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