Future trends and Italian SMEs

Celant, Corinne; Pustokhina, Irina V.

doi:10.54216/ajbor.010105

Cited by 9 publications

(8 citation statements)

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“…The theoretical significance of tax reduction and fee reduction is that under the circumstance of effectively reducing taxes and fees for enterprises, enterprises have abundant funds, and the further enhancement of liquidity will definitely increase the enthusiasm of enterprises to invest [ 21 , 22 ]. After the liquidity of funds is fully mobilized, the production capacity of the real economy will be greatly improved.…”

Section: The Impact Of Tax Reduction and Fee Reduction Of Big Data Al...mentioning

confidence: 99%

The Impact of Tax Reduction and Fee Reduction Based on Big Data Algorithm on the High-Quality Development of the Real Economy under the Action of Coupling Effect or Substitution Effect

Zhang

2022

Computational Intelligence and Neuroscience

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The basic idea of the mass of medical growth is to adhere to local market price thinking with a Chinese touch and follow the development policy of “quality first, efficiency first.” It insists on properly handling a series of important relationships betwixt socialism and market economy, the first to drive the rich later, the government and the market, equality and efficiency, short-term growth and long-term development, China and the international economy, ecology and growth of the region. Under the guidance of the qualitative thinking theory, it combines the strategic goals of China’s economic qualitative development and actively draws on the research results of other countries. It uses big data algorithms to focus on the impact of qualitative development on tax and income reduction in the real economy. It conducts research experiments on the impact of tax reduction and fee reduction based on big data algorithms on the top-notch growth of the real economy. Its experimental data show that: in 2018, the share of primary, tertiary, and primary sector in China’s dimensional economy top-notch growth coordination index was 7.2%, 40.7%, and 52.2%, respectively. Its contribution rate to economic growth was 4.2%, 36.1%, and 59.7%, respectively. From these data, it can be concluded that the top-notch growth of the real economy is getting better and better under the influence of tax reduction and fee reduction by big data algorithms.

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Section: The Impact Of Tax Reduction and Fee Reduction Of Big Data Al...mentioning

confidence: 99%

The Impact of Tax Reduction and Fee Reduction Based on Big Data Algorithm on the High-Quality Development of the Real Economy under the Action of Coupling Effect or Substitution Effect

Zhang

2022

Computational Intelligence and Neuroscience

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“…e design of traditional supply chain financial products ignores the credit value. e traditional supply chain finance only solves the financing needs of some small-and medium-sized enterprises, and financial institutions do not provide more support for the financing needs of a wide range of small-and medium-sized enterprises [11]. In the new environment of the complete popularization of the Internet, the rapid development of EC Supply Chain, and the ever-increasing demand for personalized financing, this strict financing model has been unable to meet the personalized financing needs [12].…”

Section: Basic Concepts Of High-performancementioning

confidence: 99%

“…If within a certain period of time T the number of customer complaints is recorded as U 1 , the total number of transactions is recorded as U 2 , and β is recorded as the service coefficient, then the customer complaint rate can be calculated as formula (11):…”

Section: Reduce Customer Complaint Ratementioning

confidence: 99%

Risk Prevention of E-Commerce Supply Chain Financial Market Based on High-Performance Computing

Wang

Yang

Song

2022

Mobile Information Systems

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As an emerging industry, e-commerce mainly relies on online platforms to provide products and services for enterprises and consumers, and it has its own risks in the development of supply chain finance. When developing an online business, it can rely on the support of developed logistics and physical stores, which has its special advantages in operating supply chain finance, but at the same time, it also brings special business risks. With the rapid development of economic level in recent years, the application of EC Supply Chain has become more and more extensive. The emergence of EC Supply Chain has injected strong vitality into the financial market, but at the same time, the EC Supply Chain financial business is also facing huge risks. For cross-border import e-commerce companies, the core of the supply chain is the source of goods and logistics. Enterprises have more resources, which means that they have more initiative in the fierce competition, and a stable and perfect supply chain will be the core competitiveness of the cross-border import e-commerce industry. The purpose of this paper is to study how to prevent risks in the EC Supply Chain financial market based on high-performance computing. This paper puts forward the importance of high-performance computing and the significance of EC Supply Chain development and proposes preventive measures against financial market risks in EC Supply Chain. From the data in the experimental part of this paper, it can be known that the development trend of the risk generated by the EC Supply Chain in 2010 accounted for 6.9%. By 2015, the percentage of the development trend of EC Supply Chain risk was 17.9%, an increase of 11%. It can be seen that the development of EC Supply Chain risk is very rapid, so how to prevent the financial market risk of EC Supply Chain is very urgent. From the data, it can be seen that the exogenous risk in the e-commerce supply chain has a score of 7.4–8.4 for market risk, a score of 7.7–9.1 for economic risk, and the highest score for economic risk. Risk is the biggest risk factor. The characteristics of supply chain risk are not only complex, diverse, and uncertain but also transitive and virtual.

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“…On the other hand, we need to pay attention to the internal management of the department, so that the digital management process can be reflected, improve the processing efficiency of operation information, and create a good premise for the development of the enterprise. Digitization is the key to the realization of business management [7]. It is necessary to do a good job in the interaction of business information and monitor the operation status of enterprises so as to pave the way for the smooth development of enterprises [8].…”

Section: Introductionmentioning

confidence: 99%

Application of Digital Information Technology in Enterprise Innovation Management

Zhang

Chi

2022

Mobile Information Systems

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Digital information technology is the key to realize the efficient management of enterprises. It is necessary to analyze the information technology and provide perfect operating conditions for enterprises in combination with the economic management of enterprises. This article studies enterprise management in the digital information environment, improves the effectiveness of enterprise management methods, and judges the management state of enterprises. At the same time, formula calculation is used to provide a test method for the application effect of digital information technology so that that information technology can be evaluated fairly. The experimental results show that enterprise management also involves inventory management. It is necessary to use information technology to identify products, record the process of products entering and leaving the warehouse in combination with code scanning technology, and optimize the product management process. In the process of enterprise management, the process management form should be adopted to improve the reliability of management methods and ensure that the enterprise has a normal management mode and perfection of enterprise operation state. It proves that digital information technology can promote the development of enterprises, improve the reliability of enterprise management, and reduce the impact of adverse factors on enterprises.

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Future trends and Italian SMEs

Cited by 9 publications

References 0 publications

The Impact of Tax Reduction and Fee Reduction Based on Big Data Algorithm on the High-Quality Development of the Real Economy under the Action of Coupling Effect or Substitution Effect

The Impact of Tax Reduction and Fee Reduction Based on Big Data Algorithm on the High-Quality Development of the Real Economy under the Action of Coupling Effect or Substitution Effect

Risk Prevention of E-Commerce Supply Chain Financial Market Based on High-Performance Computing

Application of Digital Information Technology in Enterprise Innovation Management

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