Development Of Cross-border E-commerce Research Articles

Analysis of Problems and Countermeasures in Bilingual Teaching of Marketing Specialty

In the context of economic globalization, cultivating students’ cross-cultural marketing ability is becoming more and more important; The implementation of bilingual teaching is an important way to cultivate and enhance this ability. In recent years, the rapid development of cross-border e-commerce and free trade zones has greatly increased the demand for bilingual marketing talents, which has promoted the rapid development of bilingual teaching of marketing specialty. From the perspective of international talent training, there are some problems in bilingual teaching of marketing specialty in Colleges and universities, such as textbook selection, teacher construction, students’ English level, teaching quality, curriculum incentive and so on. Based on the author’s five-year bilingual teaching experience of marketing specialty and the goal of international talent training, the bilingual teaching of marketing specialty can be improved from the following aspects: practicing the international educational concept.

Research on the Data Mining Tools and Algorithms of Cross-Border e-Commerce under the Atmosphere of the International Epidemic

China's cross-border e-commerce industry has developed rapidly, sales have risen steadily, policies and policies have been continuously introduced, e-commerce consumption mode has been continuously optimized, and logistics facilities are increasingly perfect. However, under the impact of the COVID-19 epidemic, the cross-border e-commerce industry has broken out with problems such as the industrial chain interruption, poor logistics chain, broken capital chain and insufficient talent export. In view of the challenges and opportunities faced by China's cross-border e-commerce industry under the impact of the epidemic, this paper analyzes the application of data mining tools and algorithms in cross-border e-commerce, aiming to provide certain help for the development of cross-border e-commerce under the international epidemic atmosphere.

The Development Status, Problems And Strategies Of China’s Cross-Border E-Commerce Comprehensive Pilot Areas

As a new international trade situation, cross-border e-commerce has become a link to promote the development of foreign trade and stabilize the international industrial supply chain. China’s cross-border e-commerce has grown by more than 30% annually, which is not only a new engine to promote foreign trade growth and a new shortcut to foreign trade transformation, but also a new channel to encourage import consumption and stimulate domestic demand. At the same time, it also provides enterprises, especially small and medium-sized enterprises, with the possibility of better docking the international market and expanding the international market at lower cost. In order to cope with the new order of international trade, Chinese government has launched the initiative of setting up Cross-border E-commerce Comprehensive Pilot Areas, which have made some achievements, but also faces a series of challenges. This paper summarizes their development status and experiences first. Based on the in-depth analysis of the problems and future trends, it puts forward the development strategy to provide reference for the sustainable development of cross-border e-commerce.

Application of Big Data Analysis Technology in Cross-Border E-Commerce

Under the background of national development strategy in the new era, cross-border e-commerce with the help of Internet platform can realize the interconnection between producers and consumers, and gradually expand the influence of international trade. Based on big data technology, this paper builds an industry chain with cross-border e-commerce members' participation, and analyzes the specific application of big data in the product support, internal operation, external marketing, logistics service and service evaluation of cross-border e-commerce industry chain. The purpose is to effectively promote the healthy development of cross-border e-commerce and improve China's trade and economic level.

Designing and Evaluating an Automatic Forensic Model for Fast Response of Cross-Border E-Commerce Security Incidents

The rapid development of cross-border e-commerce over the past decade has accelerated the integration of the global economy. At the same time, cross-border e-commerce has increased the prevalence of cybercrime, and the future success of e-commerce depends on enhanced online privacy and security. However, investigating security incidents is time- and cost-intensive as identifying telltale anomalies and the source of attacks requires the use of multiple forensic tools and technologies and security domain knowledge. Prompt responses to cyber-attacks are important to reduce damage and loss and to improve the security of cross-border e-commerce. This article proposes a digital forensic model for first incident responders to identify suspicious system behaviors. A prototype system is developed and evaluated by incident response handlers. The model and system are proven to help reduce time and effort in investigating cyberattacks. The proposed model is expected to enhance security incident handling efficiency for cross-border e-commerce.

The integration of industry and education promotes a win-win cooperation between university talent training and enterprise development Take Excellent Cases of Ministry of Education University-Industry Collaborative Education Program "Cross-border e-commerce and cases" as an example

This article briefly elaborates the requirements for the development of cross-border e-commerce in universities to keep up with the times, introduces the excellent cases of the Ministry of Education University-Industry Collaborative Education Program "Cross-border e-commerce and cases" project results and experience, and shares University-Industry Collaborative Education Program promotes enterprises to develop teaching software, compile teaching materials, establish academic journals, carry out educational training and media promotion experience, and put forward suggestions for improving cross-border e-commerce teaching.

Research on the Development of Computer Cross Border E-Commerce from the Perspective of International Trade

Based on the perspective of ITT, the development of cross border e-commerce (hereinafter referred to as CBEC) is directly related to many industries, which promotes the employment and development of many industries, such as logistics, it, production, etc. Therefore, CBEC accounts for a large proportion in economic development. With the improvement of e-commerce platform, the traditional international trade (hereinafter referred to as ITT) has gradually changed to CBEC. In the perspective of ITT, the “Internet plus foreign trade” CBEC is a modern sales way, which caters to the characteristics of the fragmentation of sales orders and the individualization of product demand. Therefore, the average annual growth rate of CBEC in China exceeds 30%, which has become a new direction of ITT transformation and upgrading. Through CBEC, ITT has broken through the limitation of time and space, which has gradually reduced transaction costs. Therefore, computer CBEC has a positive impact on ITT. First of all, this paper analyzes the role of CBEC development. Then, this paper puts forward some problems. Finally, some suggestions are put forward.

Research on China Cross-border E-commerce Development Strategy under the Background of Trade Facilitation

The main purpose of trade facilitation is to simplify trade processes, reduce trade costs, and improve policy transparency. Affected by the global financial crisis, global market demand is insufficient, and China's foreign trade growth is weak, while cross-border e-commerce is thriving, showing a gratifying growth trend. The qualitative and quantitative leap of cross-border e-commerce is inseparable from the macro-environmental support and influence of my country's social development. Chinese government departments should actively participate in relevant meetings and project negotiations of international organizations, establish friendly exchanges and cooperative relations with other countries, and achieve tax incentives and credit Negotiation and coordination mechanisms for system construction cooperation, data security, cybercrime, etc., to seek more convenient and efficient border management

Analyzing the Effects of Cross-Border E-Commerce Industry Transfer Using Big Data

With the increasing diversification and personalization of consumer demand in the international market, coupled with the rapid development of the internet, the many advantages of cross-border e-commerce as an emerging trading model have become more apparent. When the hybrid system synergy model is based on the effective combination of the systems, the overall performance is greater than the sum of various elements’ simple superposition. As the upstream chain of modern logistics, cross-border e-commerce requires its virtual characteristics to develop in the direction of informationization, automation, and intelligence. Only when they are interdependent and mutually promoted can they achieve greater synergy. The regional difference measurement theory is often used to measure the effect of cross-border e-commerce industry transfer. First, build a cross-border e-commerce industry transfer effect measurement model to analyze the development level of China’s cross-border e-commerce, for example, the measurement model of commercial industry transfer effects from 2001 to 2016. It is mainly because the development of modern logistics lags behind cross-border e-commerce, resulting in the inability of cross-border e-commerce and modern logistics to form an orderly coupling in the system structure and function. Therefore, to better promote the coordinated development of cross-border e-commerce and modern logistics, it is necessary to stimulate the functions of various subsystems and promote the synergy and deep integration of multiparty entities such as government, enterprises, and industry associations.

Influencing Factors of Cross-Border E-Commerce Consumer Purchase Intention Based on Wireless Network and Machine Learning

In recent years, with the continuous development of Internet technology and the deepening of economic globalization, cross-border e-commerce has become a new international trade model and an important growth point of foreign trade. With the popularity of international trade, domestic consumers have a deeper understanding of foreign products and brands and willingness to purchase, but at this stage, cross-border e-commerce transactions are not as close to domestic online shopping, and a few have business opportunities. PortUnity is the first among overseas consumers and some avant-garde consumers with a sense of consumption. Most people have not yet reached real cross-border e-commerce, so cross-border e-commerce has broad development potential on a global scale. As a high-tech field, cross-border e-commerce has few relevant theories and literature. Therefore, this article aims to explore the influencing factors of consumer purchase intention of cross-border e-commerce based on a wireless network and machine learning and to provide decision support for the management and operation of e-commerce in order to promote the better development of cross-border e-commerce. This article analyzes the influencing factors of consumers' intention in cross-border e-commerce shopping by combining literature research and empirical research. With the support of wireless networks and machine learning, perceptual-based ease of use and perceived usefulness of the original TAM, the individual influencing factors of cross-border e-commerce consumers' purchase intention and e-commerce platform factors are summarized according to the characteristics and technology acceptance model of cross-border e-commerce. In this questionnaire survey, the author fully explored the survey value of each respondent, and all the 100 questionnaires were successfully recovered, with a 100% utilization rate of data. The research results of this article show that in addition to the originally perceived usefulness and perceived ease of use, consumers' income level, education level, age, gender, service, safety index and price of cross-border e-commerce platform, and other factors also affect the cross-border consumption frequency of consumers.

Application of Computer Technology in Foreign Language Talent Training in Cross-border Power Plant

With the development of computer technology, e-commerce industry is a very popular industry. In view of this situation, we put forward the training strategy of computer foreign language talents and train reserve talents for the development of cross-border e-commerce. We also need to further improve our ability in all aspects in the light of the needs of the times. Cross-border e-commerce needs to often communicate with foreign personnel, so the industry needs a lot of English-speaking people. At the same time, these people should also master certain computer skills.

RETRACTED ARTICLE: Trust model simulation of cross border e-commerce based on machine learning and Bayesian network

In recent years, many scholars at home and abroad have devoted themselves to the research of e-commerce trust, which has even become a hot topic in scientific research. When we explore the factors that affect consumers' choice of e-commerce transactions, e-commerce trust is undoubtedly an important breakthrough in this issue. E-commerce trust can have a profound impact on the popularity of e-commerce among customers and the future development. But in the current environment, consumers are still unfamiliar or skeptical about e-commerce. Based on these problems, this paper proposes a cross-border e-commerce trust model based on the existing trust evaluation technology, machine learning theory and the cloud model in Bayesian network technology to prevent fraud. With the support of cloud model, trust evaluation method has been improved. Trust has changed from qualitative to quantitative, and the relevant data can reflect the nature of trust more intuitively and objectively. In addition, the model can also start from the enterprise, according to the e-commerce enterprise for consumer privacy protection, information trading and other services to conduct a comprehensive evaluation of the enterprise, giving consumers a clearer choice. In addition, the evaluation quantity and adaptive time window algorithm are also introduced in the evaluation of e-commerce enterprises. All kinds of measures are to prevent illegal businesses from misleading consumers by credit fraud and speculation. Through the above methods, researchers can understand the trust degree of users for cross-border e-commerce, and put forward relevant methods to improve user credit. At the same time, through a variety of theoretical methods such as machine learning and Bayesian network, we can provide enterprises with more market and user demand information, make them aware of the shortcomings and constantly improve their business in the future, so as to improve the trust of users to enterprises, and attract a wider user group, so as to provide more ideas and guidance for the development of cross-border e-commerce.

Optimization algorithm and simulation of supply chain coordination based on cross-border E-commerce network platform

With the rapid development of cross-border e-commerce, the improvement of consumer satisfaction has become the focus of cross-border e-commerce platform optimization. Relying on advanced algorithm technology, it can realize the accurate and efficient matching between massive information and users, which is conducive to improving the user experience. Based on the consideration of consumer satisfaction, this paper constructs a dual channel supply chain composed of cross-border suppliers, cross-border e-commerce enterprises, retailers and consumers and studies the revenue and cost sharing contract of the supply chain under the conditions of centralized decision and decentralized decision. The research shows that cross-border e-commerce enterprises can choose to form revenue and expenditure sharing contracts through online and offline channels, optimize decentralized decision-making, and achieve win–win cooperation among supply chain entities.

Cross-Border E-commerce Marketing Development Model based on Big Data

With the popularity of cloud computing technology, the emergence of big data highlights its importance. Now big data has been used in the development mode of cross-border e-commerce platform of major Internet enterprises and has strong commercial value. However, there are still a variety of poor qualities goods and after-sales problems, which greatly limit the development of cross-border e-commerce. This paper analyzes the impact of big data technology on cross-border e-commerce marketing, formulates reasonable management strategies and environmental factors conducive to its own development, and analyzes the application of big data technology in the marketing system of a company. Drawing on the success factors of cross-border companies and applying the summarized marketing development model to local cross-border enterprises, it is found that the effect is significantly improved compared with the previous marketing mode, management mode and strategic planning, and enterprises using big data develop in a better direction.

Risk Data Analysis of Cross Border E-commerce Transactions Based on Data Mining

At present, China’s foreign trade volume of cross-border e-commerce is still relatively small, the targeted legal system has not been established, and the industry access threshold is relatively low. The development of cross-border e-commerce faces many risks. Relying on data mining technology, data docking and risk control. At the data level, the risk of cross-border e-commerce transaction is processed and analyzed, and the potential risk is predicted, and more targeted risk control methods are proposed to reduce the risk of cross-border e-commerce transaction business. Aiming at this problem, this paper establishes the risk data analysis of cross-border e-commerce transactions based on data mining. In order to further verify the data accuracy of data mining technology, this paper analyzes the test values of neural network algorithm, seizure rate and inspection rate. When the misclassification loss parameter value is increased from 1 to 4, the detection rate of the model increases and the detection rate decreases. When the misclassification loss value is higher than 4, the detection rate increases, but the seizure rate decreases significantly. Therefore, the target inspection rate of the model can be changed by adjusting the misclassification loss parameter value of the model. If we set the parameter value of misclassification loss reasonably, we can achieve the goal of preventing and controlling the maximum risk with the lowest data mining cost. Through the analysis, the research in this paper has achieved ideal results, and made a contribution to data mining in cross-border e-commerce transaction risk data analysis.

Impact of international trade on cross-border e-commerce development: an empirical study based on the evidence from Ningbo city in China

This study analyses the interactive development mechanism between cross-border e-commerce and international trade and proposes a model to capture the effect of international trade on cross-border e-commerce development. The model reveals that international trade provides an institutional guarantee, industrial base, and information support for the development of cross-border e-commerce. Then, we collect the cross-border e-commerce and international trade data from Ningbo city in China between January 2016 and December 2018 to quantitatively investigate the interaction between them by using the vector auto regression (VAR) model. Based on the results of time series stability check, VAR check, impulse response analysis, Granger causality test and ordinary least squares (OLS) analysis, we find that the established VAR model can explain the positive effect of international trade on cross-border e-commerce development. Finally, we make recommendations for both government and enterprises to promote high-quality development of cross-border e-commerce based on the research findings.

Impact of international trade on cross-border e-commerce development: an empirical study based on the evidence from Ningbo city in China

Impact of international trade on cross-border e-commerce development: an empirical study based on the evidence from Ningbo city in China

Research on the Information Tracing Model for Cross-border E-commerce Products based on Blockchain

Information asymmetry, information island, high regulatory cost, etc., emerge from the fast development of cross-border e-commerce in China, for which the blockchain, with its capabilities in information sharing, information traceability, smart contract, and so on, can play an effective role in product information tracing. Based on blockchain, this paper builds the product information tracing model using information chains of two different degrees of openness. The model includes the three major bodies of cross-border e-commerce—the supply chain alliance, the consumers and the regulatory departments, so as to produce information tracing, ensure information authenticity and integrity, and be applicable to all kinds of e-commerce platforms.

Research on the Innovation of Cross-border E-commerce Customer Service Model Based on Big Data in the Post-epidemic Era

In the post-epidemic era, with the rapid development of cross-border e-commerce, massive amounts of customer information data are generated every day. This article explores useful business information data, innovates cross-border e-commerce customer service model, optimizes customer service details, meets customer needs, and creates greater profits for the company. This article defines big data, expounds the 5V characteristics of big data and commonly used analysis methods, analyzes the positive impact of big data on cross-border e-commerce customer service, and the problems of big data application in cross-border e-commerce customer service, and proposes targeted cross-border innovations Countermeasures for e-commerce customer service model.

Current Situation, Problems and Prospects of Russia-China Economic and Trade Cooperation: the Chinese Perspective

In recent years, Russia-China economic and trade cooperation has enjoyed a good momentum of development. During the pandemic and complex international situation, Russia-China economic and trade cooperation is moving forward against the trend. Bilateral trade relations are becoming closer, the scale and fields of investment cooperation are expanding, energy, agricultural, scientific and technological cooperation is steadily advancing. This shows that the economic and trade cooperation between Russia and China has a solid foundation and broad space. However, there are still problems that cannot be ignored. The scale of bilateral trade is relatively small, the trade structure is not reasonable, and the depth of cooperation in the spheres mentioned above is insufficient. Russia-China economic and trade cooperation needs to develop in the direction of high quality and realize the unity of "increasing volume" and "improving quality". From the Chinese perspective, China's economic and social development strategy in a medium or long term will have a positive impact on bilateral economic and trade cooperation with Russia. It will help deepen the scientific and technological cooperation, accelerate the development of cross-border e-commerce, elevate investment cooperation to a higher level, further unleash the potential of energy cooperation, boost the agricultural cooperation, and upgrade Russia-China economic and trade cooperation as a whole.