Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario
Joint Authors
Li, Shi-Yong
Liu, Jia
Zhu, Xiaoxia
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-08
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In recent years, internet development provides new channels and opportunities for small- and middle-sized enterprises’ (SMEs) financing.
Supply chain finance is a hot topic in theoretical and practical circles.
Financial institutions transform materialized capital flows into online data under big data scenario, which provides networked, precise, and computerized financial services for SMEs in the supply chain.
By drawing on the risk management theory in economics and the distributed hydrological model in hydrology, this paper presents a supply chain financial risk prediction method under big data.
First, we build a “hydrological database” used for the risk analysis of supply chain financing under big data.
Second, we construct the risk identification models of “water circle model,” “surface runoff model,” and “underground runoff model” and carry on the risk prediction from the overall level (water circle).
Finally, we launch the supply chain financial risk analysis from breadth level (surface runoff) and depth level (underground runoff); moreover, we integrate the analysis results and make financial decisions.
The results can enrich the research on risk management of supply chain finance and provide feasible and effective risk prediction methods and suggestions for financial institutions.
American Psychological Association (APA)
Liu, Jia& Li, Shi-Yong& Zhu, Xiaoxia. 2018. Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario. Discrete Dynamics in Nature and Society،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1152469
Modern Language Association (MLA)
Liu, Jia…[et al.]. Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario. Discrete Dynamics in Nature and Society No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1152469
American Medical Association (AMA)
Liu, Jia& Li, Shi-Yong& Zhu, Xiaoxia. Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario. Discrete Dynamics in Nature and Society. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1152469
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1152469