Development Analysis of Cross-Border E-Commerce Logistics Based on Big Data Technology Under Safety Law Protection

Wen, Long Ri

doi:10.4018/ijisss.290547

Cited by 9 publications

(4 citation statements)

References 19 publications

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“…It is proposed that the dramatic decrease in the cost of data indexing and data storage has caused the need for big data applications for enterprises as a way to improve their competitive power. e need for the time between data collection and decision making to be reduced has stimulated innovation in business intelligence techniques [9]. e authors of [10] analyzed how Amazon, Wal-Mart, and Adidas used big data to gain a large amount of revenue and concluded that the application of big data in e-commerce has a broad prospect.…”

Section: Related Workmentioning

confidence: 99%

Predictive Analysis of User Behavior Processes in Cross-Border E-Commerce Enterprises Based on Deep Learning Models

Li¹

2022

Security and Communication Networks

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Currently, the global consumer market is moving toward digitalization, and cross-border e-commerce enterprises are no exception and have to make adjustments in their operational strategies. Digitalization brings complexity, dynamism, and fragmentation in sales channels, media environment, and consumer behavior, requiring cross-border e-commerce enterprises to react more quickly and timely, and the need for intelligent operations is becoming more and more urgent. In this paper, through the problem of predicting the e-commerce user behavior process, the model usually needs to focus on both long-term preferences and short-term preferences of e-commerce users in the current behavior sequence; otherwise, the behavior prediction will be much less effective. Specifically, through a comprehensive analysis of typical cases, the strategies and problems in the intelligent operation process of China’s cross-border e-commerce enterprises at the present stage are discussed, and corresponding suggestions are put forward, so as to promote the rapid development of China’s cross-border e-commerce enterprises.

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Section: Related Workmentioning

confidence: 99%

Predictive Analysis of User Behavior Processes in Cross-Border E-Commerce Enterprises Based on Deep Learning Models

Li¹

2022

Security and Communication Networks

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“…In the initial stage, the role of e-commerce platform is to match the information of both parties and match transactions, and other transaction links are completed offline. Changes have taken place, and cross-border trade has gradually realized the online transaction process, and the online completion mode of the transaction process is also the main mode in my country at present; finally, with the gradual accumulation and precipitation of transaction data and the development of integration of digital technology, in addition, consumers' demand preferences are diversified, and it is urgent to mine massive transaction data to achieve precise matching of supply and demand [ 11 , 12 ]. Therefore, CBEC will achieve qualitative changes under the continuous accumulation of variables in cross-border trade and evolve into digital trade.…”

Section: Introductionmentioning

confidence: 99%

The Development Relationship between Cross-Border e-Commerce and Internet of Things Technology Coupling in Digital Economy Based on Neural Network Model

Liu¹

2022

Computational and Mathematical Methods in Medicine

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Compared with the traditional trading model, the problem of information asymmetry in export cross-border e-commerce (CBEC) transactions actually exists. Since the buyers and sellers of export CBEC are located in different countries, it is difficult for both parties to make accurate judgments on each other’s credit. Besides, the number of export CBEC financing is relatively small, and the financing situation is not optimistic. Fortunately, the Internet of Things (IOT) technology has a wide range of applications and strong social penetration, especially in e-commerce, which can effectively improve payment, logistics, and distribution. By employing the concept of the IOT, this paper expounds the application of the IOT in the e-commerce transaction process and the impact of the IOT on the development of e-commerce. Besides, this paper also proposes some security issues in the application of the IOT in e-commerce. In addition, this paper analyzes the relationship and development trend of CBEC and IOT technology; meanwhile, it also points out the practical problems currently faced by combining the regional advantage of a certain region. The e-commerce industry develops IOT technology and drives innovation-driven development in the region. In addition, this paper builds an evaluation index system for the development of export CBEC enterprises based on the analysis of the problems and reasons by using the sample data to train the BP neural network and using the test samples to test the model. It is found that the model accuracy rate is 89.47%. Then, this paper also takes the export CBEC company A as an example to conduct empirical research and to prove the operability of the credit evaluation model. Finally, it provides relevant suggestions for improving the credit evaluation system of export CBEC enterprises.

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“…Now, China's cross-border e-commerce is facing various difficulties such as high competitive pressure as well as weak awareness of rules, weak legal awareness, and related, for example, stricter regulatory measures on Amazon platform, and even higher logistics costs in China [1]. Since the outbreak of the new crown epidemic, global trade has shrunk to a great extent, and although logistics has also been affected to a certain extent, it is just such an epidemic that brings great prospects for the development of cross-border e-commerce [2]. According to the National Bureau of Statistics as well as the Ministry of Commerce, in the first year of the epidemic outbreak in China, the scale of cross-border e-commerce in China was surprisingly high at US$10 trillion, which increased by more than 10% [3].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Multiple Linear Regression Algorithm for High Quality Development Factors of Cross-Border E-Commerce

Fang

2022

Journal of Sensors

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With the in-depth development of Internet technology as well as information technology, the continuous popularization of computers in China, and the increasingly obvious economic globalization, the world’s economies are becoming more and more closely connected. Cross-border e-commerce has been developed better. In China, with the deep and continuous development of China’s reform and opening up, as well as the continuous improvement of our country’s science and technology level, the continuous improvement of people’s living standards and the internationalization of our country’s enterprises are getting stronger. E-commerce in China has also been developed significantly. According to the statistics of China’s National Bureau of Statistics and relevant scientific research institutions, since China entered the modernization, China’s cross-border e-commerce are multiplying the high-speed growth state, especially after China’s entry into the WTO, China’s cross-border e-commerce business is growing rapidly, in the process of China’s cross-border e-commerce development, compared with imports, exports are taking the absolute dominant position. Therefore, the quality of goods in China, the implementation of standards and related laws and regulations and policies, then become a relatively core part of cross-border e-commerce. Among all the core parts, the quality of goods is undoubtedly the most core part. Under the supervision of our national departments and law-making and other factors, the regulator of the e-commerce platform is the main body of commodity quality supervision. Therefore, the managers of e-commerce platforms are of vital importance to promote the development of e-commerce platforms. In this paper, in line with the principle of promoting the high-quality development of cross-border e-commerce in the prospect of high-quality development of China’s e-commerce platform, a series of multivariate linear models on the development of e-commerce platform carry out the analysis of China’s high-quality development of e-commerce. The main body of China’s e-commerce, the country, as well as consumers, producers, and other optimization analysis is from the overall analysis of China’s e-commerce platform development status. The current problems of China’s e-commerce platform, according to this to carry out the overall planning, put forward the countermeasure suggestions studied in this paper.

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Development Analysis of Cross-Border E-Commerce Logistics Based on Big Data Technology Under Safety Law Protection

Cited by 9 publications

References 19 publications

Predictive Analysis of User Behavior Processes in Cross-Border E-Commerce Enterprises Based on Deep Learning Models

Predictive Analysis of User Behavior Processes in Cross-Border E-Commerce Enterprises Based on Deep Learning Models

The Development Relationship between Cross-Border e-Commerce and Internet of Things Technology Coupling in Digital Economy Based on Neural Network Model

Analysis of Multiple Linear Regression Algorithm for High Quality Development Factors of Cross-Border E-Commerce

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