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Brand loyalty, as a key indicator of corporate market competitiveness, and its correlation with corporate social responsibility have attracted extensive attention from academics. The study firstly puts forward the hypothesis of the correlation between CSR and brand loyalty. Then, using Meta-technology method, 67 related literatures published in 2020-2023 were collected for coding. The correlation coefficients between CSR dimensions and brand loyalty were taken as effect values, and CMA 3.0 software was used for data processing. Qualitative analysis was conducted in the form of funnel plots to verify whether there was publication bias in the sample. The correlation between CSR dimensions and brand loyalty and the degree of influence of CSR communication as a moderating variable were verified by heterogeneity test, main effect test, and moderating effect test.

This study analyzes the multiple influencing factors of the development of new quality productivity in the context of informationization, and predicts its development trend by constructing a regression model of new quality productivity development. Additionally, a financial technology development index is constructed to analyze the dynamics of financial technology by collecting relevant data and utilizing the kernel density estimation method. Finally, the investment and financing institutional framework is designed to assess its performance in changing. The lowest regression coefficient of information technology influencing factors and new quality productivity is 0.291, all of which are significant beyond 0.001 level. The rate of development of STF increases significantly under information technology and stabilizes around 0.7. The greatest influence of science and technology finance is its own, with 89.29% at the end of the period, while information technology accounted for 10.41%. 2023 ~ today, the scores of the effectiveness of project delineation, the effectiveness of project management, the effectiveness of governmental investment drive, the effectiveness of capital financing and mobilization, the effectiveness of investment regulation and management, as well as the ability to adapt to the investment environment ranged from 91.39 to 97.16.

Enterprises inevitably generate financial risks in the process of operation and development, how to effectively evaluate the effective enterprise financial risk is an important part of the reasonable operation of an enterprise and eternal vitality. This paper constructs an enterprise financial risk evaluation index system using five dimensions, such as profitability and solvency. The method of combining AHP and DEMATEL is introduced to calculate the comprehensive weights of indicators at all levels in the evaluation system. The cloud model is used to integrate and analyze fuzzy and chaotic information in enterprise finance, and the enterprise financial risk is evaluated by calculating the digital features of the cloud model. This paper takes Company G as the case study object and applies the proposed method to assess the financial risk of the company. In the finance of Company G, the results of calculating the cloud digital features of each level of indicators in the financial risk evaluation system are all located in the medium evaluation range, indicating that the financial risk status of the company is good. The composite score values of cloud numerical features for solvency and growth capacity are 7.2 and 7.1, respectively, revealing that Company G needs to focus on the construction of financial programs related to these two aspects in the subsequent development process.

In this paper, in order to study the correlation relationship between the courses in the financial curriculum system of colleges and universities, through the integration of the DEMATEL-ISM method, the curriculum is set up, the hierarchical relationship of the basic objectives of the reachable matrix is constructed and the hierarchical relationship diagram is corrected, and the multilayered recursive stepwise explanatory structural model is established. Using the explanatory structural model of the underlying objectives, scientific and innovative teaching design is used to achieve the rational arrangement of course content design. Applying the blended teaching strategy to finance majors in a university, comparing and analyzing the teaching effect of the strategy, the study found that the average scores of the four dimensions of the four dimensions, namely, interest, course participation, problem solving ability, and teamwork ability, of the students in the experimental class in the pre-test and in the control class were all about 3 points, with no obvious difference. The independent samples t-test results of the two classes in the post-test are all less than 0.05, which can improve the students’ interest in learning, the degree of participation in the course, and the development of problem-solving ability and teamwork ability. This paper provides innovative ideas and scientific basis for teaching design in higher education, and has a significant effect on improving the teaching effectiveness of finance courses.

The development of digital economy has created the digital era, which requires enterprises to keep pace with the times and accelerate the completion of their own digital transformation. This paper focuses on exploring the role mechanism of the impact of the digital economy on enterprise management transformation, and puts forward the research hypothesis through the study of related theoretical results. A regression model is established to empirically analyze the path and extent of the impact of the digital economy on enterprise management transformation, and total performance improvement rate, government subsidies and analysts’ attention are selected as the mediating variables to study the role mechanism of the digital economy affecting enterprise management transformation. The results of benchmark regression show that the regression coefficient of digital economy on enterprise management transformation is 0.6157, which is significantly positive at 1% level, verifying the hypothesis of this paper about the impact of digital economy on enterprise management transformation. The regression coefficients of digital economy on enterprise management transformation after the introduction of mediating variables are 0.174, 0.138, and 0.149 respectively, and are significant at 1% level. The regression coefficients of variables such as total performance improvement rate on business management transformation are also significantly positive. The internal path of the impact of the digital economy on business management transformation is explained.

With the development of digital financial technology, financial behavior and financial literacy have become the focus of scholars’ research as well as the attention of the government and society in recent years. The article explores the level of personal financial literacy in the development of digital financial technology using a factor analysis model. A survey is conducted using 800 questionnaires to assess the basic financial literacy status of the population in Province A, and measurement analysis is carried out using factor analysis. Then a probit model was constructed from four aspects, namely, borrowing behavior, financial management behavior, insurance behavior and financial consulting behavior, to analyze the impact of personal financial literacy on financial behavior under the development of digital financial technology. In terms of the impact of financial literacy on financial behavior, financial literacy has a significant positive impact on the four financial behaviors of borrowing, wealth management, insurance, and financial consulting, and is significant at the 1% level. With digital financial technology support, the higher the personal financial literacy, the more rational the personal financial behavior.

Innovation is an important driving force for social and economic development, and an important way for enterprises to obtain competitive advantages in the market and realize sustainable development. The article takes 960 enterprises listed in Shanghai and Shenzhen A-shares as research samples, and utilizes the threshold regression model to explore the impact of the remuneration gap of returnee executives on the innovation ability of enterprises. After analyzing the results of the threshold panel regression, it was found that there is a double threshold effect between the remuneration gap of returnee executives and the innovation ability of enterprises. When the returnee executives’ pay gap is ≤2.463 times, the returnee executives’ pay gap has a negative impact on the innovation ability of enterprises. When the remuneration gap of returnee executives is in the range of (2.463, 4.134], the remuneration gap of returnee executives positively and significantly promotes the enterprise’s innovation ability at the 1% level. When the remuneration gap between returnee executives is higher than 4.134 times, it has a negative impact on the performance of enterprise innovation ability at the 1% level. Therefore, enterprises need to set a reasonable salary gap range when introducing returnee executives, which can not only motivate the innovation enthusiasm of returnee executives but also eliminate the negative emotions of employees, thus effectively promoting the development of enterprise innovation ability.

Traditional financial risk management methods are difficult to meet the needs of the modern financial environment under the trend of the continuous evolution of the financial market and the increasing complexity of financial risks. The purpose of this paper is to innovatively explore the integration of ideological and political education with quantitative analysis and apply it to financial risk management. Through an explanation of the role of ideological and political education in financial risk management, it highlights the necessity of integrating ideological and political education into financial risk management. Take the VaR model as an example to explore quantitative analysis methods in financial risk management. The two stock price indices, SSE 180 Index and SZCI Index, have been selected to discuss the application of the VaR model. We propose the path integration strategy of ideological and political education and quantitative analysis, and adopt the entropy weight method combined with the constructed financial risk measurement index system to quantitatively assess financial risk. The fusion path proposed in this paper is applied to eight key financial risk management areas in S city, and the comprehensive evaluation results of financial risk before and after the application of the path are compared. Compared with before the application of the path, the comprehensive evaluation value of financial risk of the eight research objects in S city is reduced by 26.54%, 69.36%, 39.46%, 58.34%, 30.25%, 58.21%, 68.09% and 67.91% respectively after the application, and the decrease of the financial risk of the small loan company is significant. The validity and feasibility of the integration path in this paper have been verified.

This paper investigates the impact of digital transformation points on enterprise performance. According to the mechanism of the impact of digital transformation on enterprise performance, this paper puts forward the corresponding research hypotheses. In order to reflect the role of business management perspective on the research of this paper, the enterprise management ability is selected as a mediating variable to analyze its mediating effect in the process of digital transformation's impact on enterprise performance. Text mining method is adopted to construct the digital vocabulary network of enterprise contribution using characteristic keywords, and the degree of enterprise digital transformation is calculated by combining the BERT model and K-means clustering algorithm. Benchmark regression results show that the digital transformation coefficient is positive at the 1% significance level, and that for every unit increase in the degree of digital transformation, enterprise performance will rise by 0.293. The robustness test uses methods such as replacing the explanatory variables to verify the robustness of the core findings of this paper. In the mediation effect test, digital transformation and the mediating variables ATO and Admin are both positive at the 1% significant level, and the regression coefficient of the degree of digital transformation rises from 0.293 to 0.374 after adding the mediating variables, verifying the research hypothesis of this paper about the mediating variables.

The standardized strategy of the enterprise economic management model is related to the enterprise’s success or failure in the market competition, but it is difficult to detect the problems in time when they occur, and the development of the performance decline and heavy debt when the accumulation of weight is difficult to return. This paper proposes a risk analysis model based on machine learning for enterprise management, which is first based on SVM algorithm using principal component analysis for dimensionality reduction, and then introduces the Gaussian kernel function to improve the classification accuracy, and combines it with the decision tree C4.5 algorithm to complete the construction of enterprise economic management risk analysis model. Next, the enterprise economic management risk evaluation index system is constructed, and the assignment operation is carried out using the entropy weight method. On this basis, after testing the performance of the model using publicly available corporate financial disclosure data, Company A is taken as an example for the analysis of the enterprise management model. It has been found that the comprehensive evaluation scores of the sample companies in the model from 2021 to 2023 are 72.35, 68.393, and 67.011, all of which belong to the risk-free level. However, from 2021, the sample company’s gearing ratio and cash current liability ratio are 4.398 and 2.508, with low scores, and the company’s debt pressure begins to show, while from 2021 to 2023, the earned interest multiplier decreases from 14.18 to 9.019 points down by more than 5 points, which indicates that the pressure to pay interest is gradually having a negative impact on the sample company. This study provides a new method for companies to improve their economic management model and strategy, which is conducive to analyzing business problems and enhancing competitiveness.