For the problem of small and micro enterprise credit evaluation and financing difficulties, this article takes the "non-financial index" dimension of corporate credit as the starting point to study the influencing factors of online financing for start-ups. Based on the 13 indicators disclosed by 547 s tart-ups projects in the field of shared economy/artificial intelligence and consumption upgrade in Beijing on the online financing platform, this paper conducted an empirical study on the influencing factors of online financing for start-ups. By means of factor analysis and binary logistic regression predicting models, it is found that the influence factors of corporate credit "non-financial indicators" for online financing of start-ups are the overall quality level of the founding team, the influence of the industry sector in which the entrepreneurial project is located, the disclosure of the basic information and the business model for start-ups. Among them, the overall quality level of the founding team has the greatest impact and each increase of one unit will increase the forecast success rate of financing results by 70.8%. The overall prediction accuracy of the model is 70.9%. These four factors can reflect the company's solvency and willingness to pay debts highlight the credit level of enterprises, thus affect the successful effect of online financing.

Replacing deposits with credit scores is being applied in an increasing number of services, including bicycle rental, apartment rental and hotel accommodation services. Whether and why individuals' trustworthiness levels improve after the implementation of credit scores needs to be resolved. This paper establishes a bicycle rental experimental situation, obtains trustworthiness data from the subjects, and explores the interaction between different constraint conditions and the subjects' consideration of future consequences (CFC). The results indicate that the trustworthiness of the deposit group is lower than that of the credit score group. For high CFC individuals, there are no significant differences in the trustworthiness of the control group, deposit group and credit score group. For low CFC individuals who prefer current benefits, the trustworthiness of the deposit group is lower than that of the credit score group and control group when the latter two groups show no significant differences. Our findings demonstrate that credit scores promote trustworthiness better than deposits and that individuals who pay more attention to current benefits are more affected.