Abstract
Prevention and control of risks are an eternal theme of financial institutions. Although, to some extent, the emergence of supply chain finance can enhance the financing capacity of small- and medium-sized enterprises (SMEs) and reduce financial risks of financial institutions, with the development of smart city and smart finance, the financial risks of SMEs are more complex, infectious, dormant, and difficult to accurately identify and measure. Facing this status, financial institutions have been required to understand and evaluate the financial risks of SMEs from a new perspective. Therefore, this paper, based on the study of financial risks assessment of SMEs under the smart city and smart finance, innovatively constructs a new index evaluation system for supply chain finance, based on improved hesitant fuzzy linguistic PROMETHEE method, and the effectiveness and advantages of the model have been verified through an example. To a certain degree, the SMEs financing the evaluation model and improved PROMETHEE method can not only help financial institutions reduce the risks in the specific financial transactions but also reduce the survival threat of financial institutions. Moreover, it is of positive significance to the stable operation of the financial system.
Highlights
According to statistics, China’s small- and medium-sized enterprises (SMEs) accounted for 94.15% of the total number of enterprises. eir final product and service value created was equivalent to 60% of China’s total GDP [1]
Chain finance has emerged as an effective and innovative financial service. It is a kind of credit business relying on the core enterprises in the supply chain and providing effective capital injection to the upstream and downstream enterprises to ensure the normal operation of industrial chain enterprises [4]. is new development model has brought great opportunities to all aspects of the economy and society, especially to the financing of SMEs [5]
In terms of engineering practice, it still mainly relies on the subjective experience judgment of the decision-maker, which may affect the objectivity of the research results
Summary
China’s SMEs (including individual industrial and commercial households) accounted for 94.15% of the total number of enterprises. eir final product and service value created was equivalent to 60% of China’s total GDP [1]. Whether the enterprise can fulfill the corresponding social responsibility and pass the environmental friendly audit of relevant departments has become an important factor for the survival and operation of the enterprises [28, 29] They have not taken the overall consideration for the development of SMEs (such as industrial risks and new information technology application) into account. By applying the improved hesitant fuzzy PROMETHEE method, it first constructs a multiobjective decisions model to set out the risks that are associated with supply chain financing for SMEs. e uncertainties of uncertain information and decision-makers’ perceptions are transformed into fuzzy concepts; qualitative problems are quantified
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
