Study On Risk Identification of Corporate Supply Chain Finance Based on ISM-MICMAC Model

Abstract

It is crucial to accurately identify the main influencing factors of supply chain finance risk, analyze their mechanism of action and construct a system of influencing factors for risk management of supply chain finance. This paper examines the three parties involved in supply chain finance, including the financial institution, the core enterprise, and the SMEs, and screens out 21 major risk factors from them. This study calculates the adjacency matrix and accessibility matrix by using SPSSPRO, then constructs the interpretative structural modeling method (ISM) and the recursive structure diagram. Combining the Matrix-based Multiplication Applied to a Classification (MICMAC), this paper classifies the influencing factors into four categories: autonomous category, dependent category, linkages category, and independent category. The results show that: (1) the factors that constitute the deepest level of risk in supply chain finance are crediting false trade, non-standard bill of lading, data information security risk, imperfection of business process design, et cetera. (2) Among all factors, three factors are identified as the autonomous category, nine as the independent category, and nine as the dependent category with no linkages category.