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Article
Computer Science, Hardware & Architecture
Hui Zeng
Summary: This study aims to apply IoT to enhance financial management in enterprises, with the goals of identifying hidden financial risks in a timely manner and strengthening risk resistance capabilities. The traditional financial risk early-warning model based on accounting information is analyzed, and a new model is proposed from the perspective of cash flow. The Backpropagation neural network is utilized to mine financial data and obtain risk predictions. Mobile edge computing services are introduced to improve calculation performance and enhance the timeliness of cash flow information and risk warnings. An edge service preloading optimization model is established based on geographic information and the neural network. Experimental results show high prediction accuracy for financial health and crisis risks, as well as improved response rates through service preloading optimization. This exploration provides valuable insights for the development of corporate financial risk early-warning models based on MEC and IoT.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Management
Nurdjanah Hamid et al.
Summary: This study investigates the effect of the board of directors on financial performance and company capital in Indonesia. The results find that risk management and CEO tenure have a significant positive effect on financial performance and company capital, while CEO duality has a significant negative effect. The study also reveals that CEO duality and board size have a significantly positive effect on financial performance through risk management.
JOURNAL OF CO-OPERATIVE ORGANIZATION AND MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Jin Kuang et al.
Summary: This research focuses on establishing a comprehensive financial early warning model using a combined forecasting method to solve the problem of financial crisis prediction. By using time series forecasting and the BP neural network algorithm, and comparing the prediction error values, a more accurate forecasting method is obtained. The results show that the BP method performs better than others, and the combinational forecasting method offers better performance.
Article
Business, Finance
Meng-Meng Tan et al.
Summary: A new risk assessment model is developed and applied to assess failure risk of knowledge-intensive services corporates in the UK. The model combines financial indicators, macroeconomic variables, industrial factors, and company non-financial criteria for comprehensive risk analysis. The study provides new insights into the selection of macro and industry factors.
JOURNAL OF RISK AND FINANCIAL MANAGEMENT
(2022)
Article
Business
Yali Cao et al.
Summary: With the economic progress, the capital business of e-commerce enterprises has become more complicated, leading to increasing financial risks such as bankruptcy and liquidation. In order to prevent financial risks, early warning methods are constantly being improved, making the establishment of financial early warning models and mechanisms an important issue.
ELECTRONIC COMMERCE RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Ivan A. Kapitonov
Summary: The concept of low-carbon development involves tasks such as improving energy efficiency, utilizing renewable energy, and protecting greenhouse gas sinks. State regulation plays a crucial role in promoting the transition to alternative energy sources. The global positive dynamics in the field of alternative energy indicate a promising future for sustainable development.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Business, Finance
Mehmet Selman Colak
Summary: This study measures the financial strength and risk level of real sector firms listed on the Borsa Istanbul using a composite index combining various corporate finance ratios. The study introduces a new index, the MFA score, which has predictive power of around 90 percent and serves as an early warning of financial distress for Turkish firms. The analysis suggests that non-exporting firms and firms with an open foreign exchange position have weaker balance sheets.
BORSA ISTANBUL REVIEW
(2021)
Review
Environmental Studies
Gregor Semieniuk et al.
Summary: The transition to a low-carbon economy will result in major structural changes in industries, with some expanding their economic weight and others, especially those linked to fossil fuels, declining. This systemic shift may impact financial stability through asset revaluations, debt defaults, and bubbles in rising sectors. Research on financial transition risks from rapidly rising industries exists, but conceptual understanding of risks from declining industries is lacking.
WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE
(2021)
Article
Computer Science, Artificial Intelligence
Hongyu Shang et al.
Summary: With the integration of big data, Internet of Things, and cloud computing into social life, the importance of financial crisis warning in corporate management is increasing. This study used big data mining technology to select multiple financial indicators in the Internet of Things, and determined fuzzy association rules using the FCM and parallel mining algorithm. The method proposed in the study was verified by analyzing corporate financial risks using data from listed companies.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Management
A. Kim et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2020)
Article
Business, Finance
Youssef Zizi et al.
Article
Environmental Studies
Celine Louche et al.
ORGANIZATION & ENVIRONMENT
(2019)
Review
Economics
Gang Kou et al.
TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY
(2019)
Article
Computer Science, Theory & Methods
Qiong Kang
INTERNATIONAL JOURNAL OF MODELING SIMULATION AND SCIENTIFIC COMPUTING
(2019)
Article
Business, Finance
Sumaira Ashraf et al.
JOURNAL OF RISK AND FINANCIAL MANAGEMENT
(2019)
Article
Green & Sustainable Science & Technology
Katarina Valaskova et al.
