Research on the Risk of Social Stability of Enterprise Credit Supervision Mechanism Based on Big Data

2022 ◽  
Vol 34 (3) ◽  
pp. 0-0
Keyword(s):  
Big Data ◽  
Prediction Accuracy ◽  
Local Economy ◽  
Assessment Model ◽  
Social Stability ◽  
Enterprise Credit ◽  
Data Prediction ◽  
Enterprise Risk ◽  
Supervision Mechanism ◽  
The Stability

The study aims to establish a platform-based enterprise credit supervision mechanism, and combined with big data, accurately evaluate the credit assets of enterprises under the influence of social stability risk, and improve the ability of enterprises to deal with risks. Using descriptive statistical methods, the study shows that most local enterprises exist in the form of micro loans, which promotes the development of local economy to a certain extent, but it is a vicious cycle of economic development; The overall prediction accuracy of the single enterprise risk assessment model under the influence of social stability risk is 65%. Compared with the single algorithm, the prediction accuracy of the integrated algorithm model is significantly improved, and the prediction accuracy can reach 83.5%, the standard deviation of data prediction is small, and the stability of the model is high.

scholarly journals Measuring the Environmental Maturity of the Supply Chain Finance: A Big Data-Based Multi-Criteria Perspective

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Hisham Alidrisi
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Assessment Model ◽  
Self Assessment ◽  
Interpretive Structural Modeling ◽  
Supply Chain Finance ◽  
Network Process ◽  
Order Preference

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.

scholarly journals FORECASTING OF BLOCKCHAIN TECHNOLOGY DEVELOPMENT IN ECONOMY: ACCOUNTING POINT OF VIEW

2019 ◽  
pp. 37-44
Author(s):  
L. Shkulipa
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Technology Development ◽  
Local Economy ◽  
Point Of View ◽  
Negative Effects ◽  
Blockchain Technology ◽  
Hype Cycle ◽  
Predictive Assessment ◽  
Further Development

In the article the importance of blockchain technology in the economy and predicting its development from the accounting point of view was investigated. The methods used in the study are based on the analysis of literature related to disclosure issues and a description of existing blockchain claims on the world stage. On the basis of this, a predictive assessment of the considered results for the further development of blockchain technology in the economy, its impact on accounting and the profession of accountant was made. The findings include the positive and negative effects of blockchain technology on the medical and banking sectors, information technology, the financial sector, and accounting. The blockchain in the hype cycle was considered as a phenomenon that all new technologies undergo before stable existing or disappearing. Based on the consideration of the most famous blockchain projects with the combination of Big Data, the estimation of the development technologies of Blockchain and Big Data in finance was discussed. This study suggests to consider blockchain technology as (1) a new way of sending and processing invoices, documents, contracts, and payments, reducing errors, costs and transaction time; (2) a path to financial equality through affordability; (3) investments in the local economy so that developing countries can grow significantly; (4) updating the currency market and the international monetary and financial transaction system; (5) a major breakthrough in the economy together with the Big Data technology.

scholarly journals Analysis of Marketing Innovation Under the New Retail Mode-Taking “Luckin coffee” as an Example

2021 ◽  
Vol 235 ◽  
pp. 01074
Author(s):  
Siyu Wei
Keyword(s):  
Big Data ◽  
Operation Mode ◽  
Marketing Strategies ◽  
Consumption Patterns ◽  
Service Process ◽  
Strong Impact ◽  
Fully Integrated ◽  
Marketing Innovation ◽  
Data Prediction ◽  
Differentiated Marketing

With the rise of high-end technologies such as artificial intelligence and big data, many new consumption patterns are constantly emerging, from offline retail to online e-commerce and then to a New Retail mode combining online e-commerce, offline and logistics. The New Retail mode not only brings a strong impact to the traditional retail industry, but also provides many enterprises with new operation and marketing ideas. The research object selected by the author is Luckin coffee, a representative enterprise of the New Retail mode, by analyzing the operation mode of “online APP+ offline store + logistics” used by Luckin coffee and the marketing method implemented under this mode, the innovation of Luckin coffee’s marketing method is concluded, including Viral social fission marketing, Innovation of service process, Big data differentiated marketing, Novel scene positioning, Omni-channel retail, which can provide some ideas such as Social fission, Big data prediction, differentiated marketing, Fully integrated channels and so on for other traditional retail enterprises to reform and new Retail enterprises to formulate marketing strategies.

scholarly journals Impact of cover change of land use on flood vulnerability in Jiangsu province

2021 ◽  
Vol 308 ◽  
pp. 01004
Author(s):  
Shuangchen Du ◽  
Zichuan Zhang
Keyword(s):  
Land Use ◽  
Population Density ◽  
Local Economy ◽  
Jiangsu Province ◽  
Assessment Model ◽  
Urban Systems ◽  
Gis Technology ◽  
Flood Vulnerability ◽  
Urban Flood ◽  
Flood Disasters

In the context of global warming and rising sea levels, as urbanization continues to increase, the risk situation of urban systems facing floods has become more severe. Therefore, we constructed a vulnerability assessment model for urban flood disasters in Jiangsu Province, focusing on using GIS technology to classify the land use of each city in Jiangsu Province for supervised learning. We also established a flood disaster vulnerability model to evaluate the Vulnerability of 13 cities in Jiangsu Province. Evaluation and analysis of the changes in land use vulnerability use flood disasters in Jiangsu Province from 2000 to 2020. The results show that from 2000 to 2020, the Vulnerability to flooding disasters is on the rise as a whole. Yancheng has the lowest average Vulnerability to flooding disasters due to the low population density and high greening rate in the built-up area. On the other hand, Nantong City has the most heightened average flood vulnerability due to excessive population density. The low greening rate in built-up areas has led to a worsening of flood vulnerability. Suggestions have been made to reduce the Vulnerability of urban floods in Jiangsu Province, such as vigorously developing the local economy, reasonably adjusting the rate of urbanization, and building drainage infrastructure.

Using big data to retrospectively validate the COMPASS-CAT risk assessment model: considerations on methodology

2020 ◽  
Author(s):  
Ilias Nikolakopoulos ◽  
Soheila Nourabadi ◽  
Joanna B. Eldredge ◽  
Lalitha Anand ◽  
Meng Zhang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Big Data ◽  
Assessment Model ◽  
Risk Assessment Model
Sign in / Sign up

Export Citation Format

Share Document