The empirical study of Shandong's home appliance manufacturing industrial cluster based on complex networks

Author(s):  
Sun Min-min ◽  
Gao Guang-rui
2011 ◽  
Vol 22 (3) ◽  
pp. 381-407 ◽  
Author(s):  
Yu-Tao MA ◽  
Ke-Qing HE ◽  
Bing LI ◽  
Jing LIU

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaohan Huang ◽  
Jihong Sun ◽  
Xiaoyun Zhao

Supply chain finance (SCF) plays an increasingly important role in global enterprise competition. The credit risk accompanying SCF has attracted the attention of the government, enterprises, and academia. However, with the absence of data and inaccurate information, traditional risk assessment methods are frequently failed to assess the credit risk in SCF, especially for small- and medium-sized enterprises (SMEs). In this study, a grey correlation model is introduced and applied to the SCF risk assessment process for 15 firms in the Chinese home appliance industry with 15 performance indicators that represent profitability, solvency, operational capability, and development capability. The empirical study displays the operability and effectiveness of the grey correlation model, which is superior to traditional methods in the supply chain financial risk assessment.


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