Credit Risk Early Warning of Small and Medium-Sized Enterprises Based on Blockchain Trusted Data

Shekun Tong, Ting Zhang and Zhigang Zhang
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Shekun Tong: College of Information Engineering, Jiaozuo University, Jiaozuo, Henan 454100, P. R. China
Ting Zhang: College of Information Engineering, Jiaozuo University, Jiaozuo, Henan 454100, P. R. China
Zhigang Zhang: College of Information Engineering, Jiaozuo University, Jiaozuo, Henan 454100, P. R. China

Journal of Information & Knowledge Management (JIKM), 2022, vol. 21, issue 02, 1-12

Abstract: Small and medium-sized enterprises (SMEs) are now growing rapidly and playing an important role in the development of the national economy. As the economy grows, the contradiction between the credit risk of SMEs and the credit risk early warning mechanism of traditional supply chain financing has become increasingly important. In response to the issues of a single source of business information, the high investment cost of the existing early risk early warning mechanism, etc., from a commercial bank credit risk management perspective, this paper proposes to build an SMEs credit risk early warning system based on reliable blockchain data. The reliability of the data obtained is assessed utilising a hierarchical analysis and a vague overall judgement method. The results show that the use of blockchain technology can enhance the credibility and accuracy of the data, which provides a data guarantee for more rapid risk alert.

Keywords: Blockchain; credit risk; reliability analysis; risk early warning system; SMEs; trusted data (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0219649222500149

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