The Establishment of Counterpart Selection Metrics for Supply Chain Finance Execution

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.

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Supply chain finance based on smart contract

Procedia Computer Science ◽

10.1016/j.procs.2021.04.027 ◽

2021 ◽

Vol 187 ◽

pp. 12-17

Author(s):

TianLin Zhang ◽

JinJiang Li ◽

XINBO JIANG

Keyword(s):

Supply Chain ◽

Supply Chain Finance ◽

Smart Contract

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The Sustainable Development of Financial Topic Detection and Trend Prediction by Data Mining

Sustainability ◽

10.3390/su13147585 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7585

Author(s):

Yunmei Liu ◽

Shuai Zhang ◽

Min Chen ◽

Yenchun Wu ◽

Zhengxian Chen

Keyword(s):

Data Mining ◽

Supply Chain ◽

Financial Institutions ◽

Clustering Algorithm ◽

Development Trend ◽

Research Field ◽

Trend Prediction ◽

Blockchain Technology ◽

Supply Chain Finance ◽

The Government

Blockchain technology is the most cutting-edge technology in the field of financial technology, which has attracted extensive attention from governments, financial institutions and investors of various countries. Blockchain and finance, as an interdisciplinary, cross-technology and cross-field topic, has certain limitations in both theory and application. Based on the bibliometrics data of Web of Science, this paper conducts data mining on 759 papers related to blockchain technology in the financial field by means of co-word analysis, bi-clustering algorithm and strategic coordinate analysis, so as to explore hot topics in this field and predict the future development trend. The experimental results found ten research topics in the field of blockchain combined with finance, including blockchain crowdfunding, Fintech, encryption currency, consensus mechanism, the Internet of Things, digital financial, medical insurance, supply chain finance, intelligent contract and financial innovation. Among them, blockchain crowdfunding, Fintech, encryption currency and supply chain finance are the key research directions in this research field. Finally, this paper also analyzes the opportunities and risks of blockchain development in the financial field and puts forward targeted suggestions for the government and financial institutions.

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The role of Artificial Intelligence networks in sustainable supply chain finance for food and drink industry

International Journal of Production Research ◽

10.1080/00207543.2021.1915510 ◽

2021 ◽

pp. 1-16

Author(s):

Femi Olan ◽

Shaofeng Liu ◽

Jana Suklan ◽

Uchitha Jayawickrama ◽

Emmanuel Ogiemwonyi Arakpogun

Keyword(s):

Artificial Intelligence ◽

Supply Chain ◽

Sustainable Supply Chain ◽

Supply Chain Finance ◽

Food And Drink

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A Study on the Optimization of Blockchain Hashing Algorithm Based on PRCA

Security and Communication Networks ◽

10.1155/2020/8876317 ◽

2020 ◽

Vol 2020 ◽

pp. 1-12

Author(s):

Jinhua Fu ◽

Sihai Qiao ◽

Yongzhong Huang ◽

Xueming Si ◽

Bin Li ◽

...

Keyword(s):

Supply Chain ◽

Internet Of Things ◽

Data Transmission ◽

Reconfigurable Computing ◽

Hash Function ◽

Network Data ◽

Supply Chain Finance ◽

Hash Algorithm ◽

Hashing Function ◽

Hashing Algorithm

Blockchain is widely used in encrypted currency, Internet of Things (IoT), supply chain finance, data sharing, and other fields. However, there are security problems in blockchains to varying degrees. As an important component of blockchain, hash function has relatively low computational efficiency. Therefore, this paper proposes a new scheme to optimize the blockchain hashing algorithm based on PRCA (Proactive Reconfigurable Computing Architecture). In order to improve the calculation performance of hashing function, the paper realizes the pipeline hashing algorithm and optimizes the efficiency of communication facilities and network data transmission by combining blockchains with mimic computers. Meanwhile, to ensure the security of data information, this paper chooses lightweight hashing algorithm to do multiple hashing and transforms the hash algorithm structure as well. The experimental results show that the scheme given in the paper not only improves the security of blockchains but also improves the efficiency of data processing.

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