Enterprise risk management and firm performance: evidence from Malaysian nonfinancial firms

The analysis of the links and uncertainties between independent variables and dependent variables is effective. Then, the factor analysis method is applied to establish a comprehensive performance evaluation system that takes into account four dimensions: corporate profitability, solvency, development ability, and operation ability. Finally, using a regression analysis model to analyze performance factors and correlation analysis, the correlation and significance level between corporate governance structure and enterprise performance were explored. The regression coefficient of the social performance of board-size enterprises is -0.034, which negatively affects economic performance. The significance of corporate compensation incentives, equity incentives and economic performance is 5% and 1%, respectively, which has a positive effect. This study is important for improving corporate performance and optimizing corporate governance structure.

Section: Literature Reviewmentioning

confidence: 99%

“…Lei Peng, Liang Qu and Yuanjie Xu. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] …”

mentioning

confidence: 99%

A systematic study on the correlation between governance structure and strategic performance of Chinese listed companies in the context of deep learning

Peng,

Qu,

2023

“…The contents of colleges and universities are getting richer and richer, and consequently, the financial risk of colleges and universities is getting bigger and bigger [4][5]. Most colleges and universities solve the problem of insufficient funds by borrowing from banks, and many colleges and universities are thus burdened with heavy debts [6]. At present, more than 80% of the infrastructure funds of national universities come from bank loans, and the loans are far beyond the total asset affordability [7][8].…”

Section: Introductionmentioning

confidence: 99%

Construction of Comprehensive Evaluation Model for Financial Risk Management in Colleges and Universities Based on Fuzzy Logic

Zhao

2024

Among the many risks faced by colleges and universities, financial risk is one of the most important risks and has a large complexity. This paper evaluates the financial risk management level of colleges and universities using the fuzzy logic method based on the four dimensions of financial risk. The affiliation function is used to quantitatively describe fuzzy logic, and weighted summation is used to ensure the accuracy of fuzzy propositions. After selecting the evaluation indexes, the weights of the evaluation index system are determined, and a comprehensive evaluation system for financial risk management of colleges and universities is constructed. Taking Q colleges and universities in G city as the research object, the comprehensive evaluation coefficient of financial risk management of the subject colleges and universities is calculated, and the average value of the extensive risk coefficient of the subject colleges and universities in 2015–2017 is between 0 and 0.4, which belongs to the level of significant risk. The test university ranked second among 7 universities, but the comprehensive score index coefficient is 0.4898. However, there is still a large financial risk possibility. We need to formulate a corresponding risk management policy slightly.

“…Enterprises should train their employees to master the use of digital tools while encouraging innovative and flexible work styles. At the same time, they should encourage innovative and flexible work styles to adapt to the digital environment [12].…”

Section: Introductionmentioning

confidence: 99%

Digital Transformation Strategy for Financial Management of Entity Enterprises in the Information Age

Huang,

Gao

2024

This study is dedicated to exploring the effectiveness of digital transformation of financial management of real enterprises in the information age. The annual reports of enterprises are collected from 2011 to 2022 by web crawler technology, and text mining algorithms, such as TF-IDF and LDA theme model, are used to establish a measurement index system of digital transformation of financial management, which is calculated by entropy weight-TOPSIS method. The results show that keywords related to digital transformation, such as “informatization” and “intelligence”, appear frequently, and the importance of the theme changes significantly in different transformation stages. During the rapid transformation period, the frequency of words such as “industrial internet” and “smart grid” exceeds 400 times. Some companies have seen significant improvements in debt servicing, operations and profitability. Digital transformation of financial management is efficacious in improving operational efficiency and profitability. Still, it is a dynamic process that requires enterprises to choose appropriate strategies based on their characteristics. The study emphasizes that enterprises should pay close attention to integrating and applying emerging digital technologies and optimize their internal governance structure to promote sustainable performance improvement.