An Intelligent Supervision for Supply Chain Finance and Logistics Based on Internet of Things

Bai, Wei; Liu, Yongbin; Wang, Jingjie

doi:10.1155/2022/6901601

Cited by 3 publications

(2 citation statements)

References 32 publications

(25 reference statements)

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“…Mou W M analyzed the credit risk in the financial process of the agricultural products supply chain (Mou et al, 2018). Li Z and other scholars take the accounts receivable factoring business as the research object and use the evolutionary game theory method to analyze the factors of the supply chain financial risk (Li et al, 2018;Bai et al, 2022;Gao, 2022). The third area is about supply chain financial risk evaluation and strategy.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on financial risk management and control of agricultural products supply chain—A case study of Jiangsu Province of China

Yang

Tang

Kong

et al. 2022

Front. Environ. Sci.

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Agriculture has always been the focus of all countries, the rapid development of agriculture is inseparable from the strong support of finance. As a new financial model, agricultural product supply chain finance has attracted much attention. Through the analysis of the agricultural product supply chain finance model, we find that the core problem of agricultural supply chain finance is the management and control of supply chain financial risks. Based on the identification of financial risk categories of agricultural products supply chain, this paper constructs tan evaluation index system. Taking Jiangsu Province of China as the research object, this research collects relevant data of financial institutions, logistics enterprises, agricultural product production, and processing enterprises and farmers in southern and northern Jiangsu Province in 2021. The structural equation is used to establish the model. This statistical method can handle multiple potential variables at the same time, and allows observation variables and potential variables to contain measurement errors. The application of statistical methods that can handle multiple potential variables at the same time and allow observation variables and potential variables to contain measurement errors to build a model. By using the Amos calculation model, this research found that the factors affecting the financial risks of the agricultural product supply chain in Jiangsu Province from high to low are: the agricultural product pledge risks, the credit risks, the supply chain operation risks, the technical risks, the legal and policy risk. We hope this research can play a theoretical guiding role for the effective development of agricultural product supply chain finance business.

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Section: Literature Reviewmentioning

confidence: 99%

Research on financial risk management and control of agricultural products supply chain—A case study of Jiangsu Province of China

Yang

Tang

Kong

et al. 2022

Front. Environ. Sci.

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show abstract

“…However, no matter who is in charge, logistics companies are in the middle of communicating with all related parties [7][8][9]. As the intermediary connecting buyers and sellers and financial institutions in the supply chain, the status of LE in SCF cannot be underestimated [10].…”

Section: Introductionmentioning

confidence: 99%

The Performance Evaluation of Logistics Enterprises in Online Supply Chain Finance Based on Analytic Hierarchy Process

Meng¹,

Wang

2022

Mathematical Problems in Engineering

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With the accelerated pace of e-commerce, online supply chain finance (SCF) led by logistics enterprises (LE) has attracted increasing attention. On the basis of introducing the related concepts of online SCF dominated by LE, this paper constructs the performance evaluation index system of LE by integrating the balanced scorecard model. Then, we use the analytic hierarchy process (AHP) to evaluate the performance of LE and take company A as an example to calculate the total score of performance in the past seven years. Finally, according to the research results, we give some suggestions to optimize the performance of LE. The research results are conducive to promoting the online SCF model in reality.

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Innovative tools for risk management of the production activities of agricultural enterprises in an institutional environment

Khakhula,

Kostyuk,

Lanchenko

et al. 2023

Scientific Horizons

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The security of agricultural sector development is increasingly becoming a relevant issue in modern conditions, as the agricultural sector determines the sustainability of the economy and ensures the country’s food security. Growing risks, such as climate change, economic difficulties and geopolitical conflicts, highlight the need to improve the security of agricultural production systems, which makes the study relevant. The study aimed to conduct a systematic analysis of innovative tools for managing the risks of production activities of agricultural enterprises and their impact on the formation of secure development in the agricultural sector of Ukraine. To achieve this goal, the method of analysis and modelling was used. Study results indicate that innovative approaches to risk management have a decisive impact on the sustainability and efficiency of agricultural production systems. To achieve a stable level of safe development of agricultural enterprises, it is necessary to focus on the implementation of key areas, such as maintaining the food base at a level sufficient to ensure a healthy diet, ensuring an adequate level of effective demand for the population and eliminating dependence on imports, aimed at protecting the interests of domestic producers of agricultural raw materials. The study demonstrated that institutional factors of risk management form an integrated system, where efficiency depends on the implementation of specific strategies for the development of agricultural institutions aimed at introducing innovative tools into the production cycle of agricultural enterprises. Furthermore, due to the accumulation of large amounts of production, financial, logistical and innovative potential of agricultural enterprises in the Forest-Steppe and Polissia regions, the level of safe development of agricultural enterprises is significantly increasing. This indicates their high capacity for sustainable reproduction of production and making a significant contribution to the agricultural sector of Ukraine. The study is of practical importance for agricultural enterprises, research institutions and government agencies, which can use the results to improve risk management strategies and increase the level of security of agricultural sector development

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An Intelligent Supervision for Supply Chain Finance and Logistics Based on Internet of Things

Cited by 3 publications

References 32 publications

Research on financial risk management and control of agricultural products supply chain—A case study of Jiangsu Province of China

Research on financial risk management and control of agricultural products supply chain—A case study of Jiangsu Province of China

The Performance Evaluation of Logistics Enterprises in Online Supply Chain Finance Based on Analytic Hierarchy Process

Innovative tools for risk management of the production activities of agricultural enterprises in an institutional environment

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