Research on the Evaluation of Cross-Border E-Commerce Overseas Strategic Climate Based on Decision Tree and Adaptive Boosting Classification Models

Lei, Yi; Qiu, Xiaodong

doi:10.3389/fpsyg.2021.803989

Cited by 9 publications

(8 citation statements)

References 47 publications

(36 reference statements)

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“…At the same time, the IOT e-commerce has not formed a mature operation plan, and it lacks competitiveness in cost control, which makes its commodity prices high, and consumers do not have enough ability to consume, resulting in a weak market [ 21 , 22 ]. In addition, irregular policies and regulations, lack of security and privacy protection, and inconsistent technical standards are all problems that arise in the development of e-commerce under the current IOT technology [ 23 , 24 ]. In the CBEC logistics system, there is also a complex nonlinear relationship between various risk indicators, and the genetic neural network is a mapping of a highly nonlinear relationship [ 25 ].…”

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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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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“…Meanwhile, the application of data, artificial intelligence, blockchain, and other technologies in crossborder e-commerce is becoming more and more widespread, bringing innovations in personalized recommendation, transaction security, and supply chain management. Security and supply chain management [5].…”

Section: Introductionmentioning

confidence: 99%

Cross-border E-commerce Business Data Processing in the Background of Digital Economy

Mo,

Huang

2024

Applied Mathematics and Nonlinear Sciences

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This paper analyzes the cross-border e-commerce industry chain, and explores its customer value and impact on marketing strategy through data mining techniques.The whole process data mining methodology of data cleaning, integration, selection, transformation, mining, pattern evaluation and knowledge representation is adopted to deal with the cross-border e-commerce data.This paper focuses on the analysis of the customer value, the construction of the user profile, and the user behavioral patterns based on RFM model.The results show that the customer value is mainly determined by the customer life cycle and the purchase rate. The results show that the customer life cycle and purchase rate mainly determines the customer value of cross-border e-commerce.In the construction of user profiles, the characteristics and behavioral patterns of different users can be effectively identified through data standardization and the construction of user attribute models.The RFM model reveals the different levels of the user’s activity level, consumption ability and consumption value, which provides the basis for formulating differentiated marketing strategies.The data show that among the 4,130 user samples, the user behaviors and behavioral patterns were identified through clustering and knowledge representation. In the sample of 4130 users, cluster analysis shows that most of the users (72.64%) are ordinary customers. In contrast, the proportion of high-value customers (VIP customers) is only 0.24%, which suggests that cross-border e-commerce platforms need to formulate corresponding service and marketing strategies for different user groups to improve customer satisfaction and purchase conversion rate. At the same time, the cross-border e-commerce industry is experiencing changes such as platform fission, marketing innovation, and sinking of service targets, which poses new challenges and opportunities for e-commerce platforms’ operation and management.

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“…However, the aforementioned statistical methods assign keyword weight solely on the basis of word frequency, which creates the conundrum of identical quantity and varying quality. To address this issue, a number of scholars have quantified the relevance of keywords in a variety of papers based on their arrangement [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Personalized Clustering Method of Cross-Border e-Commerce Topics Based on ART Algorithm

Zhao

Wutao

2022

Mathematical Problems in Engineering

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Within the context of the Internet’s rapid development, the rise of cross-border e-commerce has undoubtedly created a once-in-a-generation opportunity for Chinese-made brands to expand internationally. Cross-border e-commerce is reshaping the way foreign trade is conducted. This paper begins by examining the development status of the cross-border e-commerce industry in Shaoxing, then investigates, and analyzes the factors influencing the development of cross-border e-commerce. Finally, it makes supporting policy recommendations. Additionally, this paper analyzes the logistics links in cross-border e-commerce and discusses its hot topics using the ART algorithm and personalized clustering method.

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Research on the Evaluation of Cross-Border E-Commerce Overseas Strategic Climate Based on Decision Tree and Adaptive Boosting Classification Models

Cited by 9 publications

References 47 publications

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

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

Cross-border E-commerce Business Data Processing in the Background of Digital Economy

Personalized Clustering Method of Cross-Border e-Commerce Topics Based on ART Algorithm

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