Risk Assessment Model for Accounting Resource Sharing Management Based on Intelligent Technology

By sharing accounting resources, enterprises can better utilize resources, improve work efficiency, and reduce costs. However, there are certain risks in the process of sharing accounting resources, and existing risk assessment models have unstable shortcomings. A risk assessment model for accounting resource sharing management based on logistic regression in intelligent technology was studied by analyzing the current situation and existing risks of accounting resource sharing management. The Analytic Hierarchy Process (AHP) was applied to calculate the weights of various indicators, and the fuzzy comprehensive evaluation method was combined to evaluate the model. The evaluation results were compared and analyzed with the actual situation. The research showed that the stability of the logistic regression evaluation model was as high as 92.9%, and it could accurately predict whether there are risks in a certain accounting resource sharing, to some extent avoiding and reducing the risks in the management process of accounting resource sharing.